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

TOLEDO, CARLOS M.; ALE, MARIEL ALEJANDRA; CHIOTTI, OMAR; GALLI, MARÍA ROSA

Quito

Conferencia; XXXVII LATIN AMERICAN INFORMATICS CONFERENCES (CLEI 2011); 2011

CLEI-PUCEING

Abstract. 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 oer stability in dynamic competitive environments. Such signi cance 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 exible framework to experiment with knowledge retrieval approaches. Finally, experimental results are evaluated and analyzed through standard measures.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 oer stability in dynamic competitive environments. Such signi cance 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 exible framework to experiment with knowledge retrieval approaches. Finally, experimental results are evaluated and analyzed through standard measures.