Harald Sack<p>Exploratory Search and Recommendation Systems are the topics of the very last section of our <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture. Learn how to create a simple similarity-based recommender system for books based on SPARQL and <a href="https://sigmoid.social/tags/dbpedia" class="mention hashtag" rel="tag">#<span>dbpedia</span></a>. .. but we have 2 more hands-on to come ;-) <br />OpenHPI video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/34xP0k99EEweSJmbUqi5lQ" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/34xP0k99EEweSJmbUqi5lQ</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=CbBtM05IBWE&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=66" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=CbBtM05IBW</span><span class="invisible">E&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=66</span></a><br />slides: <a href="https://zenodo.org/records/10185305" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10185305</span><span class="invisible"></span></a><br /><a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="tag">#<span>knowledgegraphs</span></a> <a href="https://sigmoid.social/tags/exploratorysearch" class="mention hashtag" rel="tag">#<span>exploratorysearch</span></a> <a href="https://sigmoid.social/tags/scifi" class="mention hashtag" rel="tag">#<span>scifi</span></a> <a href="https://sigmoid.social/tags/sparql" class="mention hashtag" rel="tag">#<span>sparql</span></a> <a href="https://sigmoid.social/tags/recommendersystems" class="mention hashtag" rel="tag">#<span>recommendersystems</span></a> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@MahsaVafaie" class="u-url mention">@<span>MahsaVafaie</span></a></span> <span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span></p>
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#KG2023
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Harald Sack<p>Semantic Search enables retrieval and discovery beyond trditional information retrieval. Learn how <a href="https://sigmoid.social/tags/KnowledgeGraphs" class="mention hashtag" rel="tag">#<span>KnowledgeGraphs</span></a> and semantic technologies can boost the performance of search and retrieval in this section of our <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture.<br />OpenHPI video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/6aBMSsEJEZ3YtMOjSYJytn" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/6aBMSsEJEZ3YtMOjSYJytn</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=UaCZQ-CsskI&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=65" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=UaCZQ-Cssk</span><span class="invisible">I&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=65</span></a><br />slides: <a href="https://zenodo.org/records/10185298" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10185298</span><span class="invisible"></span></a><br /><a href="https://sigmoid.social/tags/semanticsearch" class="mention hashtag" rel="tag">#<span>semanticsearch</span></a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="tag">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/search" class="mention hashtag" rel="tag">#<span>search</span></a> <a href="https://sigmoid.social/tags/retriefal" class="mention hashtag" rel="tag">#<span>retriefal</span></a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="tag">#<span>lecture</span></a> <span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span></p>
Harald Sack<p>Calling Knowledge Graphs and Symbolic AI to the rescue! How <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="tag">#<span>knowledgegraphs</span></a> can help to improve the performance of large language models and lower the risks of hallucination, we will explain in this section of our free <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture.<br />OpenHPI video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/1zeQqWUsn1G7YpSvqAAwMI" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/1zeQqWUsn1G7YpSvqAAwMI</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=5XhaLlQPsrg&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=63" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=5XhaLlQPsr</span><span class="invisible">g&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=63</span></a><br />Slides: <a href="https://zenodo.org/records/10185291" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10185291</span><span class="invisible"></span></a> <a href="https://sigmoid.social/tags/ccby40" class="mention hashtag" rel="tag">#<span>ccby40</span></a> <br /><span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <a href="https://sigmoid.social/tags/llm" class="mention hashtag" rel="tag">#<span>llm</span></a> <a href="https://sigmoid.social/tags/llms" class="mention hashtag" rel="tag">#<span>llms</span></a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="tag">#<span>ai</span></a> <a href="https://sigmoid.social/tags/hybridAI" class="mention hashtag" rel="tag">#<span>hybridAI</span></a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="tag">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/deeplearning" class="mention hashtag" rel="tag">#<span>deeplearning</span></a></p>
Harald Sack<p>Knowledge Graph Embeddings (KGEs) are a very useful tool for few- and zero-shot learning. Of course Link Prediction and <a href="https://sigmoid.social/tags/KnowledgeGraph" class="mention hashtag" rel="tag">#<span>KnowledgeGraph</span></a> Completion are the most prominent tasks for KGEs. My colleague Ann Tan and I will start our investigation of KGEs in this section of our free <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture.<br />OpenHPI video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/3xfeKrryLMeY45OXSwBd86" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/3xfeKrryLMeY45OXSwBd86</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=UGmtYSCXsQk&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=62" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=UGmtYSCXsQ</span><span class="invisible">k&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=62</span></a><br />slides: <a href="https://zenodo.org/records/10185280" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10185280</span><span class="invisible"></span></a><br /><span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@MahsaVafaie" class="u-url mention">@<span>MahsaVafaie</span></a></span> <span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <a href="https://sigmoid.social/tags/embeddings" class="mention hashtag" rel="tag">#<span>embeddings</span></a> <a href="https://sigmoid.social/tags/linkprediction" class="mention hashtag" rel="tag">#<span>linkprediction</span></a></p>
Harald Sack<p>"You shall know a word by the company it keeps." Distributional Semantics as the basis for self supervised learning as in today's large language models. This is what my colleague <span class="h-card" translate="no"><a href="https://sigmoid.social/@MahsaVafaie" class="u-url mention">@<span>MahsaVafaie</span></a></span> and I are going to talk about in this <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture excursion.<br />OpenHPI video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/4fwf0437tRYK49o8Xd18Eg" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/4fwf0437tRYK49o8Xd18Eg</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=EYAY8nmhpdg&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=61" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=EYAY8nmhpd</span><span class="invisible">g&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=61</span></a><br />slides: <a href="https://zenodo.org/records/10185262" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10185262</span><span class="invisible"></span></a><br /><span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@enorouzi" class="u-url mention">@<span>enorouzi</span></a></span> <a href="https://sigmoid.social/tags/semantics" class="mention hashtag" rel="tag">#<span>semantics</span></a> <a href="https://sigmoid.social/tags/distributionalsemantics" class="mention hashtag" rel="tag">#<span>distributionalsemantics</span></a> <a href="https://sigmoid.social/tags/llm" class="mention hashtag" rel="tag">#<span>llm</span></a> <a href="https://sigmoid.social/tags/llms" class="mention hashtag" rel="tag">#<span>llms</span></a> <a href="https://sigmoid.social/tags/cooccurrence" class="mention hashtag" rel="tag">#<span>cooccurrence</span></a> <a href="https://sigmoid.social/tags/wittgenstein" class="mention hashtag" rel="tag">#<span>wittgenstein</span></a></p>
Harald Sack<p>Have you ever particularly thought about the graph in knowledge graphs? What can we learn from the graph structure of a knowledge graph? To answer these questions, Ann Tan and I will dive a little bit deeper into graph theory in this section of our <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture.<br /><a href="https://sigmoid.social/tags/openhpi" class="mention hashtag" rel="tag">#<span>openhpi</span></a> video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/4tvRVAcst4kQE0N4g0L2TK" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/4tvRVAcst4kQE0N4g0L2TK</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=n2Q8of_Q26E&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=60" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=n2Q8of_Q26</span><span class="invisible">E&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=60</span></a><br />slides: <a href="https://zenodo.org/records/10185251" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10185251</span><span class="invisible"></span></a><br /><a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="tag">#<span>knowledgegraphs</span></a> <a href="https://sigmoid.social/tags/graphtheory" class="mention hashtag" rel="tag">#<span>graphtheory</span></a> <a href="https://sigmoid.social/tags/graphs" class="mention hashtag" rel="tag">#<span>graphs</span></a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="tag">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/linkeddata" class="mention hashtag" rel="tag">#<span>linkeddata</span></a> <a href="https://sigmoid.social/tags/lod" class="mention hashtag" rel="tag">#<span>lod</span></a> <span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span></p>
Harald Sack<p>What if OWL is not enough? In this hands-on tutorial of our <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span> is showing you how to create and exploit SWRL rules with protégé.<br /><a href="https://sigmoid.social/tags/OpenHPI" class="mention hashtag" rel="tag">#<span>OpenHPI</span></a> video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/2kdpe9211wKu8H2Vc5D8va" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/2kdpe9211wKu8H2Vc5D8va</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=I81pLmK_lHg&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=57" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=I81pLmK_lH</span><span class="invisible">g&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=57</span></a><br />Slides: <a href="https://zenodo.org/records/10136317" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10136317</span><span class="invisible"></span></a><br /><span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://mastodon.social/@KIT_Karlsruhe" class="u-url mention">@<span>KIT_Karlsruhe</span></a></span> <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="tag">#<span>knowledgegraphs</span></a> <a href="https://sigmoid.social/tags/owl" class="mention hashtag" rel="tag">#<span>owl</span></a> <a href="https://sigmoid.social/tags/swrl" class="mention hashtag" rel="tag">#<span>swrl</span></a> <a href="https://sigmoid.social/tags/ontologies" class="mention hashtag" rel="tag">#<span>ontologies</span></a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="tag">#<span>semanticweb</span></a></p>
Harald Sack<p>How to create a <a href="https://sigmoid.social/tags/knowledgegraph" class="mention hashtag" rel="tag">#<span>knowledgegraph</span></a> from existing tabular data, as e.g. from a csv file? In this hands-on session of our <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> will introduce you to OpenRefine and how to use it for knowledge graph creation.<br /><a href="https://sigmoid.social/tags/OpenHPI" class="mention hashtag" rel="tag">#<span>OpenHPI</span></a> video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/40isSC3cCz4Tly6OGQEQU5" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/40isSC3cCz4Tly6OGQEQU5</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=_6NMykfLVQU&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=56" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=_6NMykfLVQ</span><span class="invisible">U&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=56</span></a><br />OpenRefine: <a href="https://openrefine.org/" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">openrefine.org/</span><span class="invisible"></span></a><br /><span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@enorouzi" class="u-url mention">@<span>enorouzi</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sourisnumerique" class="u-url mention">@<span>sourisnumerique</span></a></span> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="tag">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="tag">#<span>knowledgegraphs</span></a></p>
Harald Sack<p>How to (automatically) create a knowledge graph from text without using an <a href="https://sigmoid.social/tags/llm" class="mention hashtag" rel="tag">#<span>llm</span></a>? In this section of our free <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture our colleague Ann Tan will walk you through a python colab notebook in which you will learn how to extract entity pairs and relations needed to construct a knowledge graph.<br /><a href="https://sigmoid.social/tags/OpenHPI" class="mention hashtag" rel="tag">#<span>OpenHPI</span></a> video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/51GlCcDoTOxIrT1DNDe8KV" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/51GlCcDoTOxIrT1DNDe8KV</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=QU5WOw-DwT0&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=55" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=QU5WOw-DwT</span><span class="invisible">0&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=55</span></a><br />Colab Notebook: <a href="https://colab.research.google.com/drive/1xzbByDBcdwgKkr31YBgrdvKYPqPK-tQw?usp=sharing" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">colab.research.google.com/driv</span><span class="invisible">e/1xzbByDBcdwgKkr31YBgrdvKYPqPK-tQw?usp=sharing</span></a></p><p><a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="tag">#<span>knowledgegraphs</span></a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="tag">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/nlp" class="mention hashtag" rel="tag">#<span>nlp</span></a> <a href="https://sigmoid.social/tags/python" class="mention hashtag" rel="tag">#<span>python</span></a> <a href="https://sigmoid.social/tags/notebook" class="mention hashtag" rel="tag">#<span>notebook</span></a> <span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span></p>
Harald Sack<p>What happens, when ontologies hit reality? We tried to compile some best practices for working with ontologies and kn owledge graphs in this section of our free <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture.<br /><a href="https://sigmoid.social/tags/OpenHPI" class="mention hashtag" rel="tag">#<span>OpenHPI</span></a> video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/4g2bLHuPYvqSZcPsJ4CLyS" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/4g2bLHuPYvqSZcPsJ4CLyS</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=vR0ZU6gOo5Y&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=54" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=vR0ZU6gOo5</span><span class="invisible">Y&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=54</span></a><br />slides: <a href="https://zenodo.org/records/10135572" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10135572</span><span class="invisible"></span></a><br /><a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="tag">#<span>knowledgegraphs</span></a> <a href="https://sigmoid.social/tags/ontologies" class="mention hashtag" rel="tag">#<span>ontologies</span></a> <a href="https://sigmoid.social/tags/bestpractices" class="mention hashtag" rel="tag">#<span>bestpractices</span></a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="tag">#<span>lecture</span></a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="tag">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/borges" class="mention hashtag" rel="tag">#<span>borges</span></a> <span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@enorouzi" class="u-url mention">@<span>enorouzi</span></a></span> <span class="h-card" translate="no"><a href="https://nfdi.social/@nfdi4culture" class="u-url mention">@<span>nfdi4culture</span></a></span></p>
Harald Sack<p>How to construct Knowledge Graphs from text sources or from relational databases? This we are going to discuss in the next section of the <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture.<br /><a href="https://sigmoid.social/tags/OpenHPI" class="mention hashtag" rel="tag">#<span>OpenHPI</span></a> video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/3e0XlQYaXMZQ3TALb091jz" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/3e0XlQYaXMZQ3TALb091jz</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=i0_7HCG7k80&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=54" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=i0_7HCG7k8</span><span class="invisible">0&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=54</span></a><br />slides: <a href="https://zenodo.org/records/10135519" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10135519</span><span class="invisible"></span></a><br /><a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="tag">#<span>knowledgegraphs</span></a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="tag">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/rml" class="mention hashtag" rel="tag">#<span>rml</span></a> <a href="https://sigmoid.social/tags/nlp" class="mention hashtag" rel="tag">#<span>nlp</span></a> <a href="https://sigmoid.social/tags/knowledgeextraction" class="mention hashtag" rel="tag">#<span>knowledgeextraction</span></a> <a href="https://sigmoid.social/tags/knowledgemnining" class="mention hashtag" rel="tag">#<span>knowledgemnining</span></a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="tag">#<span>lecture</span></a> <span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@enorouzi" class="u-url mention">@<span>enorouzi</span></a></span></p>
Harald Sack<p>How to deal with different ontologies on the same subject? What can we do to get them aligned? Is it possible to learn an ontology from text? These questions, we are going to address in this section of our <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture with the title "Ontological Engineering"<br /><a href="https://sigmoid.social/tags/OpenHPI" class="mention hashtag" rel="tag">#<span>OpenHPI</span></a> lecture: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/VseJ7SbPrJS5t8qgHuv57" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/VseJ7SbPrJS5t8qgHuv57</span></a><br />youtube lecture: <a href="https://www.youtube.com/watch?v=w0JmROLn_OA&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=52" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=w0JmROLn_O</span><span class="invisible">A&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=52</span></a><br />slides: <a href="https://zenodo.org/records/10135498" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10135498</span><span class="invisible"></span></a><br /><span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@MahsaVafaie" class="u-url mention">@<span>MahsaVafaie</span></a></span> <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="tag">#<span>knowledgegraphs</span></a> <a href="https://sigmoid.social/tags/ontologies" class="mention hashtag" rel="tag">#<span>ontologies</span></a> <a href="https://sigmoid.social/tags/ontologicalengineering" class="mention hashtag" rel="tag">#<span>ontologicalengineering</span></a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="tag">#<span>semanticweb</span></a></p>
Harald Sack<p>Everybody can design an ontology. But, how to design better ontologies? This is one of the central questions of the next section of our free <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture.<br /><a href="https://sigmoid.social/tags/OpenHPI" class="mention hashtag" rel="tag">#<span>OpenHPI</span></a> video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/1kpaqjHwxUI4HZxm1Wb9ft" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/1kpaqjHwxUI4HZxm1Wb9ft</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=RHjoCpNj3KQ" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="">youtube.com/watch?v=RHjoCpNj3KQ</span><span class="invisible"></span></a><br />slides: <a href="https://zenodo.org/records/10135481" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10135481</span><span class="invisible"></span></a><br /><span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span> <span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="tag">#<span>knowledgegraphs</span></a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="tag">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/ontologies" class="mention hashtag" rel="tag">#<span>ontologies</span></a> <a href="https://sigmoid.social/tags/ontology" class="mention hashtag" rel="tag">#<span>ontology</span></a> <a href="https://sigmoid.social/tags/ontologydesign" class="mention hashtag" rel="tag">#<span>ontologydesign</span></a></p>
Harald Sack<p>Let's design your first ontology! In this section of our free <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture, you will learn about the most simple ontology design methodology called "Ontology 101"<br /><a href="https://sigmoid.social/tags/OpenHPI" class="mention hashtag" rel="tag">#<span>OpenHPI</span></a> video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/5TBHrJQJywkBlcFcA9ZZvZ" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/5TBHrJQJywkBlcFcA9ZZvZ</span></a><br />Youtube video: <a href="https://www.youtube.com/watch?v=twEPP-M8iqc&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=50" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=twEPP-M8iq</span><span class="invisible">c&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=50</span></a><br />slides: <a href="https://zenodo.org/records/10135465" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10135465</span><span class="invisible"></span></a><br /><span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@MahsaVafaie" class="u-url mention">@<span>MahsaVafaie</span></a></span> <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="tag">#<span>knowledgegraphs</span></a> <a href="https://sigmoid.social/tags/ontologies" class="mention hashtag" rel="tag">#<span>ontologies</span></a> <a href="https://sigmoid.social/tags/ontologydesign" class="mention hashtag" rel="tag">#<span>ontologydesign</span></a> <a href="https://sigmoid.social/tags/knmowledgerepresentation" class="mention hashtag" rel="tag">#<span>knmowledgerepresentation</span></a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="tag">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/aiart" class="mention hashtag" rel="tag">#<span>aiart</span></a> <a href="https://sigmoid.social/tags/generativeai" class="mention hashtag" rel="tag">#<span>generativeai</span></a></p>
Harald Sack<p>In the next section of our <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture you will learn about the Semantic Web Rule Language SWRL, adding the potential of logical rules to the description logics based <a href="https://sigmoid.social/tags/SemanticWeb" class="mention hashtag" rel="tag">#<span>SemanticWeb</span></a> technology stack.<br /><a href="https://sigmoid.social/tags/OpenHPI" class="mention hashtag" rel="tag">#<span>OpenHPI</span></a> video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/65bnt9mLKrCsVTPF9MLpsF" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/65bnt9mLKrCsVTPF9MLpsF</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=645EaHJK7lQ&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=49" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=645EaHJK7l</span><span class="invisible">Q&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=49</span></a><br />slides: <a href="https://zenodo.org/records/10135451" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10135451</span><span class="invisible"></span></a><br /><span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@MahsaVafaie" class="u-url mention">@<span>MahsaVafaie</span></a></span> <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="tag">#<span>knowledgegraphs</span></a> <a href="https://sigmoid.social/tags/rules" class="mention hashtag" rel="tag">#<span>rules</span></a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="tag">#<span>ai</span></a> <a href="https://sigmoid.social/tags/swrl" class="mention hashtag" rel="tag">#<span>swrl</span></a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="tag">#<span>lecture</span></a></p>
Harald Sack<p>In Week 5 of our free <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture we put Ontological Engineering for smarter Knowledge Graphs in the focus. First thing we have to take a look "Beyond the Limits of OWL" to better understand what we can do and what we cannot do with the Semantic Web technology stack.<br /><a href="https://sigmoid.social/tags/OpenHPI" class="mention hashtag" rel="tag">#<span>OpenHPI</span></a> video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/4t7hBxv1I2qkSgWlFN6sm6" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/4t7hBxv1I2qkSgWlFN6sm6</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=8G5lCj4BxVw&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=48" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=8G5lCj4BxV</span><span class="invisible">w&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=48</span></a><br />slides: : <a href="https://zenodo.org/records/10135440" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10135440</span><span class="invisible"></span></a><br /><a href="https://sigmoid.social/tags/semantiweb" class="mention hashtag" rel="tag">#<span>semantiweb</span></a> <a href="https://sigmoid.social/tags/knowledgegraph" class="mention hashtag" rel="tag">#<span>knowledgegraph</span></a> <a href="https://sigmoid.social/tags/owl" class="mention hashtag" rel="tag">#<span>owl</span></a> <a href="https://sigmoid.social/tags/logics" class="mention hashtag" rel="tag">#<span>logics</span></a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="tag">#<span>lecture</span></a> <span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@MahsaVafaie" class="u-url mention">@<span>MahsaVafaie</span></a></span> <a href="https://sigmoid.social/tags/aiart" class="mention hashtag" rel="tag">#<span>aiart</span></a></p>
Harald Sack<p>In the next section of the <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture we are going to "Unlock the Potential of OWL" focusing on OWL property relations, Negation, Property Chaining, Qualified Number Restrictions, and Datatypes<br /><a href="https://sigmoid.social/tags/OpenHPI" class="mention hashtag" rel="tag">#<span>OpenHPI</span></a> video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/6LFi2BDyyUPeKhmTSMOKYI" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/6LFi2BDyyUPeKhmTSMOKYI</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=AePPu6aIWno&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=44" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=AePPu6aIWn</span><span class="invisible">o&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=44</span></a><br />slides: <a href="https://zenodo.org/records/10082610" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10082610</span><span class="invisible"></span></a><br /><span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@MahsaVafaie" class="u-url mention">@<span>MahsaVafaie</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@enorouzi" class="u-url mention">@<span>enorouzi</span></a></span> <a href="https://sigmoid.social/tags/knowledgegraph" class="mention hashtag" rel="tag">#<span>knowledgegraph</span></a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="tag">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/linkeddata" class="mention hashtag" rel="tag">#<span>linkeddata</span></a> <a href="https://sigmoid.social/tags/lod" class="mention hashtag" rel="tag">#<span>lod</span></a> <a href="https://sigmoid.social/tags/owl" class="mention hashtag" rel="tag">#<span>owl</span></a> <a href="https://sigmoid.social/tags/rdf" class="mention hashtag" rel="tag">#<span>rdf</span></a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="tag">#<span>ai</span></a></p>
Harald Sack<p>From simple to complex: Scaling up with OWL - in this section of our free <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> lecture, you will learn how to create more complex knowledge representations with OWL. You will learn about class constructors, property constraints, as well as about quantifiers for strict and loose binding.<br /><a href="https://sigmoid.social/tags/OpenHPI" class="mention hashtag" rel="tag">#<span>OpenHPI</span></a> video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/6PCkQvxhv5KcmJ3qAyrkVT" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/6PCkQvxhv5KcmJ3qAyrkVT</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=RO9TBl7WkL4&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=44" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=RO9TBl7WkL</span><span class="invisible">4&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=44</span></a><br />slides: <a href="https://zenodo.org/records/10082592" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10082592</span><span class="invisible"></span></a><br /><span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@MahsaVafaie" class="u-url mention">@<span>MahsaVafaie</span></a></span> <a href="https://sigmoid.social/tags/knowledgegraph" class="mention hashtag" rel="tag">#<span>knowledgegraph</span></a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="tag">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/aiart" class="mention hashtag" rel="tag">#<span>aiart</span></a></p>
Harald Sack<p>The basics of OWL, the Web Ontology Language, are subject of this section of our <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> free open lecture on <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="tag">#<span>knowledgegraphs</span></a>. Learn about simple OWL based knowledge representations and reasoning with OWL.<br /><a href="https://sigmoid.social/tags/OpenHPI" class="mention hashtag" rel="tag">#<span>OpenHPI</span></a> video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/FXRubbLZFVd2pnKTbXv6M" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/FXRubbLZFVd2pnKTbXv6M</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=kcRggv2e7-o&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=42" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=kcRggv2e7-</span><span class="invisible">o&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=42</span></a><br />Slides: <a href="https://zenodo.org/records/10082562" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10082562</span><span class="invisible"></span></a><br /><span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@MahsaVafaie" class="u-url mention">@<span>MahsaVafaie</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="tag">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="tag">#<span>lecture</span></a></p>
Harald Sack<p>The next (small) excursion in our <a href="https://sigmoid.social/tags/kg2023" class="mention hashtag" rel="tag">#<span>kg2023</span></a> free open lecture on <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="tag">#<span>knowledgegraphs</span></a> is dealing with description logics as the basis of knowledge representation with OWL. From simple ALC to (more complex) SHROIQ(D) <br /><a href="https://sigmoid.social/tags/OpenHPI" class="mention hashtag" rel="tag">#<span>OpenHPI</span></a> video: <a href="https://open.hpi.de/courses/knowledgegraphs2023/items/1tynpLXMB0al3MiZLxGky0" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">open.hpi.de/courses/knowledgeg</span><span class="invisible">raphs2023/items/1tynpLXMB0al3MiZLxGky0</span></a><br />youtube video: <a href="https://www.youtube.com/watch?v=diP64Y-0bOw" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="">youtube.com/watch?v=diP64Y-0bOw</span><span class="invisible"></span></a><br />slides: <a href="https://zenodo.org/records/10082560" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">zenodo.org/records/10082560</span><span class="invisible"></span></a><br /><a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="tag">#<span>semanticweb</span></a> <a href="https://sigmoid.social/tags/logic" class="mention hashtag" rel="tag">#<span>logic</span></a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="tag">#<span>lecture</span></a> <span class="h-card" translate="no"><a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention">@<span>fiz_karlsruhe</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@fizise" class="u-url mention">@<span>fizise</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@tabea" class="u-url mention">@<span>tabea</span></a></span> <span class="h-card" translate="no"><a href="https://fedihum.org/@sashabruns" class="u-url mention">@<span>sashabruns</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@MahsaVafaie" class="u-url mention">@<span>MahsaVafaie</span></a></span> <span class="h-card" translate="no"><a href="https://sigmoid.social/@enorouzi" class="u-url mention">@<span>enorouzi</span></a></span></p>
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