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  1. No Access

    Chapter and Conference Paper

    Transformer Based Semantic Relation Ty** for Knowledge Graph Integration

    More and more knowledge graphs (KGs) are generated in various domains. Applications using more than one KG require an integrated view of those KGs, which, in the first place, requires a common schema or ontolo...

    Sven Hertling, Heiko Paulheim in The Semantic Web (2023)

  2. No Access

    Book and Conference Proceedings

    The Semantic Web

    20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28–June 1, 2023, Proceedings

    Catia Pesquita, Ernesto Jimenez-Ruiz, Jamie McCusker in Lecture Notes in Computer Science (2023)

  3. No Access

    Book and Conference Proceedings

    The Semantic Web: ESWC 2023 Satellite Events

    Hersonissos, Crete, Greece, May 28 - June 1, 2023, Proceedings

    Catia Pesquita, Hala Skaf-Molli in Lecture Notes in Computer Science (2023)

  4. No Access

    Chapter and Conference Paper

    DBkWik++- Multi Source Matching of Knowledge Graphs

    Large knowledge graphs like DBpedia and YAGO are always based on the same source, i.e., Wikipedia. But there are more wikis that contain information about long-tail entities such as wiki hosting platforms like...

    Sven Hertling, Heiko Paulheim in Knowledge Graphs and Semantic Web (2022)

  5. No Access

    Chapter and Conference Paper

    scikit-learn Pipelines Meet Knowledge Graphs

    Python is currently the most used platform for data science and machine learning. At the same time, public knowledge graphs have been identified as a valuable source of background knowledge in many data scienc...

    Tabea-Clara Bucher, Xuehui Jiang, Ole Meyer in The Semantic Web: ESWC 2021 Satellite Even… (2021)

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    Chapter

    Wissensgraphen im Web

    Wissensgraphen sind eine gebräuchliche Form der Wissensrepräsentation, die aus dem Bereich Semantic Web stammt. Sie werden heute in vielen Anwendungen verwendet; prominent ist vor allem die Verwendung in der W...

    Nicolas Heist, Sven Hertling, Daniel Ringler in Semantische Datenintelligenz im Einsatz (2021)

  7. No Access

    Article

    DBkWik: extracting and integrating knowledge from thousands of Wikis

    Popular cross-domain knowledge graphs, such as DBpedia and YAGO, are built from Wikipedia, and therefore similar in coverage. In contrast, Wikifarms like Fandom contain Wikis for specific topics, which are oft...

    Sven Hertling, Heiko Paulheim in Knowledge and Information Systems (2020)

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    Chapter and Conference Paper

    Visual Analysis of Ontology Matching Results with the MELT Dashboard

    In this demo, we introduce MELT Dashboard, an interactive Web user interface for ontology alignment evaluation which is created with the existing Matching EvaLuation Toolkit (MELT). Compared to existing, static e...

    Jan Portisch, Sven Hertling, Heiko Paulheim in The Semantic Web: ESWC 2020 Satellite Events (2020)

  9. Chapter and Conference Paper

    The Knowledge Graph Track at OAEI

    The Ontology Alignment Evaluation Initiative (OAEI) is an annual evaluation of ontology matching tools. In 2018, we have started the Knowledge Graph track, whose goal is to evaluate the simultaneous matching ...

    Sven Hertling, Heiko Paulheim in The Semantic Web (2020)

  10. Chapter and Conference Paper

    Building a Conference Recommender System Based on SciGraph and WikiCFP

    SciGraph is a Linked Open Data graph published by Springer Nature which contains information about conferences and conference publications. In this paper, we discuss how this dataset can be utilized to build ...

    Andreea Iana, Steffen Jung, Philipp Naeser in Semantic Systems. The Power of AI and Know… (2019)

  11. Chapter and Conference Paper

    MELT - Matching EvaLuation Toolkit

    In this paper, we present the Ontology Matching EvaLuation Toolkit (MELT), a software toolkit to facilitate ontology matcher development, configuration, evaluation, and packaging. Compared to existing tools i...

    Sven Hertling, Jan Portisch, Heiko Paulheim in Semantic Systems. The Power of AI and Know… (2019)

  12. Chapter and Conference Paper

    WebIsALOD: Providing Hypernymy Relations Extracted from the Web as Linked Open Data

    Hypernymy relations are an important asset in many applications, and a central ingredient to Semantic Web ontologies. The IsA database is a large collection of such hypernymy relations extracted from the Commo...

    Sven Hertling, Heiko Paulheim in The Semantic Web – ISWC 2017 (2017)

  13. No Access

    Chapter and Conference Paper

    Top-k Shortest Paths in Directed Labeled Multigraphs

    A top-k shortest path algorithm finds the k shortest paths of a given graph ordered by length. Interpreting graphs as RDF may lead to additional constraints, such as special loop restrictions or path patterns....

    Sven Hertling, Markus Schröder, Christian Jilek, Andreas Dengel in Semantic Web Challenges (2016)

  14. Chapter and Conference Paper

    Towards Evaluating Interactive Ontology Matching Tools

    With a growing number of ontologies used in the semantic web, agents can fully make sense of different datasets only if correspondences between those ontologies are known. Ontology matching tools have been pro...

    Heiko Paulheim, Sven Hertling, Dominique Ritze in The Semantic Web: Semantics and Big Data (2013)