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Intelligent Technique to Accomplish a Effective Knowledge Retrieval from Dsitributed Repositories.

Authors:
Antonio Martín
Carlos León

Keywords: Ontology; Semantic Web; Retrieval; Case-based Reasoning; Digital Library; Knowledge Management

Abstract:
Currently, an enormous quantity of heterogeneous and distributed information is stored in the current digital libraries. Access to these collections poses a serious challenge, however, because present search techniques based on manually annotated metadata and linear replay of material selected by the user do not scale effectively or efficiently to large collections. The Artificial Intelligence and Semantic Web provide a common framework that allows knowledge to be shared and reused. In this paper, we propose a comprehensive approach for discovering information objects in large digital collections based on analysis of recorded semantic metadata in those objects and the application of expert system technologies. We suggest a conceptual architecture for a semantic and intelligent search engine. We concentrate on the critical issue of metadata/ontology-based search. More specifically the objective is investigated from a search perspective possible intelligent infrastructures form constructing decentralized digital libraries where no global schema exists. We have used Case Based-Reasoning methodology to develop a prototype for supporting efficient retrieval knowledge from digital library of Seville University. OntoSDL is a collaborative effort that proposes a new form of interaction between people and Digital Libraries, where the latter are adapted to individuals and their surroundings.

Pages: 97 to 102

Copyright: Copyright (c) IARIA, 2014

Publication date: June 22, 2014

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-352-0

Location: Seville, Spain

Dates: from June 22, 2014 to June 26, 2014