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#kg2023 — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #kg2023, aggregated by home.social.

  1. Exploratory Search and Recommendation Systems are the topics of the very last section of our #kg2023 lecture. Learn how to create a simple similarity-based recommender system for books based on SPARQL and #dbpedia. .. but we have 2 more hands-on to come ;-)
    OpenHPI video: open.hpi.de/courses/knowledgeg
    youtube video: youtube.com/watch?v=CbBtM05IBW
    slides: zenodo.org/records/10185305
    #knowledgegraphs #exploratorysearch #scifi #sparql #recommendersystems @tabea @sashabruns @MahsaVafaie @fiz_karlsruhe @fizise

  2. Calling Knowledge Graphs and Symbolic AI to the rescue! How #knowledgegraphs 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 #kg2023 lecture.
    OpenHPI video: open.hpi.de/courses/knowledgeg
    youtube video: youtube.com/watch?v=5XhaLlQPsr
    Slides: zenodo.org/records/10185291 #ccby40
    @fiz_karlsruhe @fizise #llm #llms #ai #hybridAI #semanticweb #deeplearning

  3. Knowledge Graph Embeddings (KGEs) are a very useful tool for few- and zero-shot learning. Of course Link Prediction and #KnowledgeGraph 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 #kg2023 lecture.
    OpenHPI video: open.hpi.de/courses/knowledgeg
    youtube video: youtube.com/watch?v=UGmtYSCXsQ
    slides: zenodo.org/records/10185280
    @tabea @sashabruns @MahsaVafaie @fiz_karlsruhe @fizise #embeddings #linkprediction

  4. 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 #kg2023 lecture.
    #openhpi video: open.hpi.de/courses/knowledgeg
    youtube video: youtube.com/watch?v=n2Q8of_Q26
    slides: zenodo.org/records/10185251
    #knowledgegraphs #graphtheory #graphs #semanticweb #linkeddata #lod @fiz_karlsruhe @fizise @tabea @sashabruns

  5. How to (automatically) create a knowledge graph from text without using an #llm? In this section of our free #kg2023 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.
    #OpenHPI video: open.hpi.de/courses/knowledgeg
    youtube video: youtube.com/watch?v=QU5WOw-DwT
    Colab Notebook: colab.research.google.com/driv

    #knowledgegraphs #semanticweb #nlp #python #notebook @fiz_karlsruhe @fizise

  6. 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 #kg2023 lecture with the title "Ontological Engineering"
    #OpenHPI lecture: open.hpi.de/courses/knowledgeg
    youtube lecture: youtube.com/watch?v=w0JmROLn_O
    slides: zenodo.org/records/10135498
    @fiz_karlsruhe @fizise @tabea @sashabruns @MahsaVafaie #knowledgegraphs #ontologies #ontologicalengineering #semanticweb

  7. In Week 5 of our free #kg2023 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.
    #OpenHPI video: open.hpi.de/courses/knowledgeg
    youtube video: youtube.com/watch?v=8G5lCj4BxV
    slides: : zenodo.org/records/10135440
    #semantiweb #knowledgegraph #owl #logics #lecture @fiz_karlsruhe @fizise @tabea @sashabruns @MahsaVafaie #aiart

  8. From simple to complex: Scaling up with OWL - in this section of our free #kg2023 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.
    #OpenHPI video: open.hpi.de/courses/knowledgeg
    youtube video: youtube.com/watch?v=RO9TBl7WkL
    slides: zenodo.org/records/10082592
    @fiz_karlsruhe @fizise @tabea @sashabruns @MahsaVafaie #knowledgegraph #semanticweb #aiart

  9. You want to become fluent with #SemanticWeb technologies OWL and Description Logics, but you are lacking the fundamental knowledge about logic? No probem, we have compiled a little excursion on "Essential Logics in a Nutshell" as a prerequisite for description logics and OWL in this section of our #kg2023 free lecture
    #OpenHPI video: open.hpi.de/courses/knowledgeg
    youtube video: youtube.com/watch?v=sj1Wg6VwqJ
    #knowledgegraphs #llms #logic #mathematics #descriptionlogics @fiz_karlsruhe @fizise @MahsaVafaie

  10. Week 4 of our #kg2023 free #MOOC course on "Knowledge Graphs - Foundations and Applications" focuses on the topic of ontologies and OWL. In the first section, we approach the topic of ontologies with an historical perspective: From Aristotle to AI: Exploring Ontologies in Computer Science
    video lecture: youtube.com/watch?v=M7rT1y4NYr
    #OpenHPI #knowledgegraphs #semanticweb #ontologies #philosophy #lecture @fiz_karlsruhe @fizise @MahsaVafaie

  11. In our first excursion of this week's #kg2023 lecture you will learn about the importance of reification, i.e. to make a statement about a statement. For RDF we will discuss traditional RDF reification as well as alternative approaches as e.g., RDF singleton properties or RDF*
    video lecture: open.hpi.de/courses/knowledgeg
    @fizise @fiz_karlsruhe @tabea @sashabruns @enorouzi @heikef #knowledgegraph #mooc #lecture #rdf #reification

  12. In the next section in this week's #kg2023 online lecture you will learn about vocabularies and how to design simple models with the RDF Schema Description Language RDFS.
    video lecture: open.hpi.de/courses/knowledgeg
    #OpenHPI @fiz_karlsruhe @fizise @tabea @sashabruns @enorouzi #knowledgegraphs #mooc #lecture #semanticweb #rdf #rdfs #startrek

  13. We can make use of graphs as simple means to represent information and knowledge. Nodes and edges can represent entities and relations. How this works you can learn in today's short #OpenHPI #kg2023 lecture "Graphs and Triples"
    video: open.hpi.de/courses/knowledgeg
    Free registration is still open!
    @fizise @tabea @sashabruns @heikef @nfdi4culture #propertygraph #AIart #startrek

  14. @bsletten The #ise2023 summer lecture was not recorded. The intention was to bring students back to university lecture halls. There is a 80% overlap with the #ise2021 lecture which is already on #youtube. However, if you are interested in our latest lecture on #knowledgegraphs, don't miss the (free) #KG2023 online course "Knowledge Graphs - Foundations and Applications" on #OpenHPI which starts in Oct 2023.
    open.hpi.de/courses/knowledgeg
    @fizise @tabea @sashabruns @Hasso_Plattner_Institute