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  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. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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