Home // International Journal On Advances in Intelligent Systems, volume 8, numbers 1 and 2, 2015 // View article

Intelligent search engine to a semantic knowledge retrieval in the digital repsitories

Authors:
Antonio Martín

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. This data abundance has made the task of locating relevant knowledge more complex. Such complexity drives the need for intelligent systems for searching and for knowledge retrieval. Access to these collections poses a serious challenge. The 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. The process is 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. The work suggests a conceptual architecture for a semantic and intelligent search engine and we also have developed a prototype and tested it for supporting efficient retrieval knowledge from digital libraries.

Pages: 67 to 76

Copyright: Copyright (c) to authors, 2015. Used with permission.

Publication date: June 30, 2015

Published in: journal

ISSN: 1942-2679