An Ontology-driven Document Retrieval Strategy for Organisational Knowledge Management Systems

Autores/as

  • Carlos M. Toledo INGAR-CONICET, Institute of Development and Design, National Council of Scientific and Technological Research, Avellaneda 3657, Santa Fe, Argentina
  • Mariel A. Ale CIDISI - UTN, Research and Development Center of Information System Engineering, National Technological University, Lavaisse 610, Santa Fe, Argentina
  • Omar Chiotti INGAR-CONICET, Institute of Development and Design, National Council of Scientific and Technological Research, Avellaneda 3657, Santa Fe, Argentina
  • Marı́a R. Galli INGAR-CONICET, Institute of Development and Design, National Council of Scientific and Technological Research, Avellaneda 3657, Santa Fe, Argentina

Palabras clave:

Document annotation, Knowledge management framework, Domain ontology, Knowledge retrieval

Resumen

Enterprises are inserted in a competitive environment in which knowledge is vital to survive in the current global market. Competition is no longer conceived as it was in traditional markets. In this global market, knowledge is considered an asset that has an economic value for an organization and a strategic resource used to increase productivity and offer stability in dynamic competitive environments. Such significance of knowledge implies the need for protecting this vital resource by safeguarding the right access, its persistence over time, and its adequate retrieval. In this work, we propose an organizational memory architecture, and annotation and retrieval information strategies based on domain ontologies that take in account complex words to retrieve information through natural language queries. To test these strategies, we implemented a flexible framework to experiment with knowledge retrieval approaches. Finally, experimental results are evaluated and analyzed through standard measures.

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Publicado

2011-10-14