Incremental Ontology-Based Extraction and Alignment in Semi-structured Documents

  • Authors:

  • Mouhamadou Thiam;Nacéra Bennacer;Nathalie Pernelle;Moussa Lô

  • Affiliations:

  • LRI, Université Paris-Sud 11, INRIA Saclay Ile de France, Orsay Cedex, France F-91893 and LANI, Université Gaston Berger, UFR S.A.T, Saint-Louis, Sénégal;SUPELEC, Gif-sur-Yvette cedex, France F-91192;LRI, Université Paris-Sud 11, INRIA Saclay Ile de France, Orsay Cedex, France F-91893;LANI, Université Gaston Berger, UFR S.A.T, Saint-Louis, Sénégal

  • Venue:
  • DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
  • Year:
  • 2009

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Abstract

SHIRI is an ontology-based system for integration of semi-structured documents related to a specific domain. The system's purpose is to allow users to access to relevant parts of documents as answers to their queries. SHIRI uses RDF/OWL for representation of resources and SPARQL for their querying. It relies on an automatic, unsupervised and ontology-driven approach for extraction, alignment and semantic annotation of tagged elements of documents. In this paper, we focus on the Extract-Align algorithm which exploits a set of named entity and term patterns to extract term candidates to be aligned with the ontology. It proceeds in an incremental manner in order to populate the ontology with terms describing instances of the domain and to reduce the access to extern resources such as Web. We experiment it on a HTML corpus related to call for papers in computer science and the results that we obtain are very promising. These results show how the incremental behaviour of Extract-Align algorithm enriches the ontology and the number of terms (or named entities) aligned directly with the ontology increases.