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Linked data for toponym linking in French literary texts

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Published:26 November 2015Publication History

ABSTRACT

The present article discusses first experiments in toponym linking of Modern French digital editions aiming to provide an external referent to Linked Data sources. We have so far focused on testing two knowledge bases - French DBpedia and Geonames - for recall. Results highlight quality issues in these data sets for usage in NLP-tasks in domain-specific heritage texts.

References

  1. C. Brando, F. Frontini, and J.-G. Ganascia. Disambiguation of named entities in cultural heritage texts using linked data sets. In New Trends in Databases and Information Systems, volume 539 of Communications in Computer and Information Science, pages 505--514. Springer, 2015.Google ScholarGoogle Scholar
  2. J. Daiber, M. Jakob, C. Hokamp, and P. N. Mendes. Improving efficiency and accuracy in multilingual entity extraction. In Proceedings of the 9th International Conference on Semantic Systems (I-Semantics), 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Linked data for toponym linking in French literary texts

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        cover image ACM Other conferences
        GIR '15: Proceedings of the 9th Workshop on Geographic Information Retrieval
        November 2015
        90 pages
        ISBN:9781450339377
        DOI:10.1145/2837689

        Copyright © 2015 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 26 November 2015

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