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Researcher profile

Heiko Paulheim

6 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Towards Automatic Topical Classification of LOD Datasets

    2015 · BOA (University of Milano-Bicocca)

    The datasets that are part of the Linking Open Data cloud
\ndiagramm (LOD cloud) are classified into the following topical
\ncategories: media, government, publications, life sciences,
\ngeographic, social networking, user-generated content,
\nand cross-domain. The topical categories were manually
\nassigned to …

  2. Bias in Knowledge Graphs - An Empirical Study with Movie Recommendation and Different Language Editions of DBpedia

    2021 · arXiv (Cornell University)

    Public knowledge graphs such as DBpedia and Wikidata have been recognized as interesting sources of background knowledge to build content-based recommender systems. They can be used to add information about the items to be recommended …

  3. The DLCC Node Classification Benchmark for Analyzing Knowledge Graph Embeddings

    2022 · arXiv (Cornell University)

    Knowledge graph embedding is a representation learning technique that projects entities and relations in a knowledge graph to continuous vector spaces. Embeddings have gained a lot of uptake and have been heavily used in link …

  4. Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE

    2023 · arXiv (Cornell University)

    Knowledge graph embedding models (KGEMs) have gained considerable traction in recent years. These models learn a vector representation of knowledge graph entities and relations, a.k.a. knowledge graph embeddings (KGEs). Learning versatile KGEs is desirable as …

  5. MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation

    2024

    Digital news platforms use news recommenders as the main instrument to cater to the individual information needs of readers. Despite an increasingly language-diverse online community, in which many Internet users consume news in multiple languages, …

  6. Towards leveraging explicit negative statements in knowledge graph embeddings

    2024 · Journal of Web Semantics

    Knowledge Graphs are used in various domains to represent knowledge about entities and their relations. In the vast majority of cases, they capture what is known to be true about those entities, i.e., positive statements, …