cris.boxmetadata.label.title
An information retrieval model using query expansion based on ontologies in the computer science domain
cris.boxmetadata.label.dateissued
01 browse.startsWith.months.january 2015
cris.boxmetadata.label.accesslevel
open access
cris.boxmetadata.label.resourcetype
conference paper
cris.boxmetadata.label.authors
Chávez B.G.C.
MELGAR SASIETA, HECTOR ANDRES
cris.boxmetadata.label.publisher
Knowledge Systems Institute Graduate School
cris.boxmetadata.label.abstract
This paper presents a model that aims to support knowledge retrieval stored in digital repositories through domain ontologies. In this model the ontology contains concepts and relationships which describe a specific part of the world. The model mechanisms aim to reduce the impact of some of the main obstacles identified in the Information Retrieval process such as user specific characteristics, natural language characteristics or retrieval systems limitations. As a result the user, by providing a query to the system, can retrieve relevant information which better meet his information need. A prototype was developed to demonstrate the feasibility of the model using queries in the computer science domain.
cris.boxmetadata.label.citationstartpage
652
cris.boxmetadata.label.citationendpage
655
cris.boxmetadata.label.volume
2015-January
cris.boxmetadata.label.language
English
cris.boxmetadata.label.ocdeknowledgeArea
Otras humanidades Filosofía
cris.boxmetadata.label.doi
cris.boxmetadata.label.scopusidentifier
2-s2.0-84969752989
cris.boxmetadata.label.containerissn
23259000
cris.boxmetadata.label.containerisbn
1891706373
cris.boxmetadata.label.conference
Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE
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