Integrating keywords and semantics on document annotation and search

  • Authors:

  • Nikos Bikakis;Giorgos Giannopoulos;Theodore Dalamagas;Timos Sellis

  • Affiliations:

  • Knowledge & Database Systems Lab, National Technical University of Athens, Greece and Institute for the Management of Information Systems, "Athena" Research Center, Greece;Knowledge & Database Systems Lab, National Technical University of Athens, Greece and Institute for the Management of Information Systems, "Athena" Research Center, Greece;Institute for the Management of Information Systems, "Athena" Research Center, Greece;Knowledge & Database Systems Lab, National Technical University of Athens, Greece and Institute for the Management of Information Systems, "Athena" Research Center, Greece

  • Venue:
  • OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
  • Year:
  • 2010

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Abstract

This paper describes GoNTogle, a framework for document annotation and retrieval, built on top of Semantic Web and IR technologies. GoNTogle supports ontology-based annotation for documents of several formats, in a fully collaborative environment. It provides both manual and automatic annotation mechanisms. Automatic annotation is based on a learning method that exploits user annotation history and textual information to automatically suggest annotations for new documents. GoNTogle also provides search facilities beyond the traditional keyword-based search. A flexible combination of keyword-based and semantic-based search over documents is proposed in conjunction with advanced ontology-based search operations. The proposed methods are implemented in a fully functional tool and their effectiveness is experimentally validated.