An information retrieval model using query expansion based on ontologies in the computer science domain

Bonnie G.Carranza Chávez, Andrés Melgar

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings - SEKE 2015
Subtítulo de la publicación alojada27th International Conference on Software Engineering and Knowledge Engineering
EditorialKnowledge Systems Institute Graduate School
Páginas652-655
Número de páginas4
ISBN (versión digital)1891706373
DOI
EstadoPublicada - 2015
Publicado de forma externa
Evento27th International Conference on Software Engineering and Knowledge Engineering, SEKE 2015 - Pittsburgh, Estados Unidos
Duración: 6 jul. 20158 jul. 2015

Serie de la publicación

NombreProceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE
Volumen2015-January
ISSN (versión impresa)2325-9000
ISSN (versión digital)2325-9086

Conferencia

Conferencia27th International Conference on Software Engineering and Knowledge Engineering, SEKE 2015
País/TerritorioEstados Unidos
CiudadPittsburgh
Período6/07/158/07/15

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