lysander07, to random

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 lecture.
video: https://open.hpi.de/courses/knowledgegraphs2023/items/4tvRVAcst4kQE0N4g0L2TK
youtube video: https://www.youtube.com/watch?v=n2Q8of_Q26E&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=60
slides: https://zenodo.org/records/10185251
@fiz_karlsruhe @fizise @tabea @sashabruns

lysander07, to random
lysander07, to ArtificialIntelligence
lysander07, to random

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 lecture with the title "Ontological Engineering"
lecture: https://open.hpi.de/courses/knowledgegraphs2023/items/VseJ7SbPrJS5t8qgHuv57
youtube lecture: https://www.youtube.com/watch?v=w0JmROLn_OA&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=52
slides: https://zenodo.org/records/10135498
@fiz_karlsruhe @fizise @tabea @sashabruns @MahsaVafaie

lysander07, to random

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 lecture.
video: https://open.hpi.de/courses/knowledgegraphs2023/items/1kpaqjHwxUI4HZxm1Wb9ft
youtube video: https://www.youtube.com/watch?v=RHjoCpNj3KQ
slides: https://zenodo.org/records/10135481
@tabea @sashabruns @fiz_karlsruhe @fizise

lysander07, to aiart
lysander07, to ai

In the next section of our lecture you will learn about the Semantic Web Rule Language SWRL, adding the potential of logical rules to the description logics based technology stack.
video: https://open.hpi.de/courses/knowledgegraphs2023/items/65bnt9mLKrCsVTPF9MLpsF
youtube video: https://www.youtube.com/watch?v=645EaHJK7lQ&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=49
slides: https://zenodo.org/records/10135451
@fizise @tabea @sashabruns @MahsaVafaie

lysander07, to random

The basics of OWL, the Web Ontology Language, are subject of this section of our free open lecture on . Learn about simple OWL based knowledge representations and reasoning with OWL.
video: https://open.hpi.de/courses/knowledgegraphs2023/items/FXRubbLZFVd2pnKTbXv6M
youtube video: https://www.youtube.com/watch?v=kcRggv2e7-o&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=42
Slides: https://zenodo.org/records/10082562
@fiz_karlsruhe @fizise @MahsaVafaie @tabea @sashabruns

lysander07, to scifi

Today, we are dealing with complex SPARQL queries in our free online lecture. In this example, we are looking for novels in with a title that contains the word "Mars". Interestingly, this is not restricted to the genre ;-)
video lecture: https://open.hpi.de/courses/knowledgegraphs2023/items/2ZH1BCtSq7IW6UpT4F6WV2
@fiz_karlsruhe @fizise @tabea @sashabruns

lysander07, to random

In this section of our course at , we are introducing the technology stack with (almost) all of its standards IRIs, RDF, RDFS, OWL, SPARQL, SHACL, etc.
video lecture: https://open.hpi.de/courses/knowledgegraphs2023/items/NOZADkDyaEPCNqt7GXCPP
You can still register for free!
@fizise @tabea @sashabruns @enorouzi @heikef @shufan

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