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A Logic-Based Approach to Named-Entity Disambiguation in the Web of Data

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AI*IA 2015 Advances in Artificial Intelligence (AI*IA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9336))

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Abstract

Semantic annotation aims at linking parts of rough data (e.g., text, video, or image) to known entities in the Linked Open Data (LOD) space. When several entities could be linked to a given object, a Named-Entity Disambiguation (NED) problem must be solved. While disambiguation has been extensively studied in Natural Language Understanding (NLU), NED is less ambitious—it does not aim to the meaning of a whole phrase, just to correctly link objects to entities—and at the same time more peculiar since the target must be LOD-entities. Inspired by semantic similarity in NLU, this paper illustrates a way to solve disambiguation based on Common Subsumers of pairs of RDF resources related to entities recognized in the text. The inference process proposed for resolving ambiguities leverages on the DBpedia structured semantics. We apply it to a TV-program description enrichment use case, illustrating its potential in correcting errors produced by automatic text annotators (such as errors in assigning entity types and entity URIs), and in extracting a description of the main topics of a text in form of commonalities shared by its entities.

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Author information

Authors and Affiliations

  1. DEI, Politecnico di Bari, Bari, Italy

    Silvia Giannini, Simona Colucci & Eugenio Di Sciascio

  2. DISUCOM, Università della Tuscia, Viterbo, Italy

    Francesco M. Donini

Authors
  1. Silvia Giannini
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  2. Simona Colucci
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  3. Francesco M. Donini
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  4. Eugenio Di Sciascio
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Corresponding author

Correspondence to Simona Colucci .

Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria,, Università di Ferrara,, Ferrara, Italy

    Marco Gavanelli

  2. Dipartimento di Ingegneria, Università di Ferrara, Ferrara, Italy

    Evelina Lamma

  3. Dep di Matem e Informatica, Universita di Ferrara, Ferrara, Italy

    Fabrizio Riguzzi

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Giannini, S., Colucci, S., Donini, F.M., Di Sciascio, E. (2015). A Logic-Based Approach to Named-Entity Disambiguation in the Web of Data. In: Gavanelli, M., Lamma, E., Riguzzi, F. (eds) AI*IA 2015 Advances in Artificial Intelligence. AI*IA 2015. Lecture Notes in Computer Science(), vol 9336. Springer, Cham. https://doi.org/10.1007/978-3-319-24309-2_28

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  • DOI: https://doi.org/10.1007/978-3-319-24309-2_28

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-24309-2

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