Document (#36741)

Author
Bouramoul, A.
Title
¬The semantic dimension in information retrieval, from document indexing to query reformulation
Source
Knowledge organization. 38(2011) no.5, S.425-437
Year
2011
Abstract
In the context of this research, we present an approach for representing the semantic content of documents and guiding the automatic query reformulation using a domain ontology. The aim is to improve the performance of information retrieval systems. In order to operationalize our proposal, the development of a set of external resources was needed, so we have constructed the 'AnimOnto' domain ontology relating to the animals domain and a document base that covers the same field. They were used to test and validate our proposal. Specifically, we propose in this paper a general architecture based on three complementary processes, this architecture uses the ontology during the semantic indexing stage and in the query reformulation phase. We also describe the 'AnimeSe Finder' tool (Animal Semantic Finder). The latter has the advantage of being generic and adaptable to other search types. It is possible to use another ontology with another document base for a new domain, to exploit the general functionalities offered by the 'AnimeSe Finder' tool.
Content
Beitrag innerhalb einer Special Section: Knowledge Organization, Competitive Intelligence, and Information Systems - Papers from 4th International Conference on "Information Systems & Economic Intelligence," February 17-19th, 2011. Marrakech - Morocco. Vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko_38_2011_5f.pdf.
Theme
Wissensrepräsentation
Field
Biologie
Object
AnimSe Finder

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