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Effect of Enriched Ontology Structures on RDF Embedding-Based Entity Linking

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Metadata and Semantic Research (MTSR 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 755))

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Abstract

RDF embeddings are recently used in Entity Linking systems for disambiguation of candidate entities to match the best mention and entity pairs. In this study, we evaluate the effect of enriched ontology structures for disambiguation task when RDF embeddings are used to identify semantic relatedness between knowledge base concepts. We generate a domain-specific core ontology and put new components upon previous ontology structures. In this way, we obtain four different enriched structures and transform them into RDF embeddings. Then, we observe which enriched structure has more importance to enhance the overall performance of RDF embeddings-based Entity Linking approaches. We select two well-known knowledge-base-agnostic approaches, including AGDISTIS and DoSeR and adapt them into RDF embeddings-based entity disambiguation. Finally, a domain-specific evaluation dataset is generated from Wikipedia to observe the effect of enriched structures on these adapted approaches.

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Notes

  1. 1.

    http://www.movieontology.org/.

  2. 2.

    https://github.com/einan/WeDGeM.

  3. 3.

    http://persistence.uni-leipzig.org/nlp2rdf/.

  4. 4.

    https://dumps.wikimedia.org/enwiki/20170420/.

  5. 5.

    https://en.wikipedia.org/wiki/Wicker_Park.

  6. 6.

    http://nlp.cs.rpi.edu/kbp/2016/.

  7. 7.

    https://en.wikipedia.org/wiki/Wicker_Park.

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Authors and Affiliations

  1. Department of Computer Engineering, Ege University, 35100, Bornova, Izmir, Turkey

    Emrah Inan & Oguz Dikenelli

Authors
  1. Emrah Inan
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  2. Oguz Dikenelli
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Correspondence to Emrah Inan .

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Editors and Affiliations

  1. Department of Library Science and Information Systems, Alexander Technological Educational Institute of Thessaloniki, Macedonia, Greece

    Emmanouel Garoufallou

  2. School of Digital Technologies, Tallinn University, Tallinn, Estonia

    Sirje Virkus

  3. Department of Library Science and Information Systems, Alexander Technological Educational Institute of Thessaloniki, Macedonia, Greece

    Rania Siatri

  4. American Farm School, Thessanloniki, Greece

    Damiana Koutsomiha

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Inan, E., Dikenelli, O. (2017). Effect of Enriched Ontology Structures on RDF Embedding-Based Entity Linking. In: Garoufallou, E., Virkus, S., Siatri, R., Koutsomiha, D. (eds) Metadata and Semantic Research. MTSR 2017. Communications in Computer and Information Science, vol 755. Springer, Cham. https://doi.org/10.1007/978-3-319-70863-8_2

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  • DOI: https://doi.org/10.1007/978-3-319-70863-8_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70862-1

  • Online ISBN: 978-3-319-70863-8

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