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

Bonnie G.Carranza Chávez; Andrés Melgar

doi:10.18293/SEKE2015-002

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

Bonnie G.Carranza Chávez, Andrés Melgar

Sección de Ingeniería Informática

Pontifical Catholic Univ. of Peru

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings - SEKE 2015
Subtitle of host publication	27th International Conference on Software Engineering and Knowledge Engineering
Publisher	Knowledge Systems Institute Graduate School
Pages	652-655
Number of pages	4
ISBN (Electronic)	1891706373
DOIs	https://doi.org/10.18293/SEKE2015-002
State	Published - 2015
Event	27th International Conference on Software Engineering and Knowledge Engineering, SEKE 2015 - Pittsburgh, United States Duration: 6 Jul 2015 → 8 Jul 2015

Publication series

Name	Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE
Volume	2015-January
ISSN (Print)	2325-9000
ISSN (Electronic)	2325-9086

Conference

Conference	27th International Conference on Software Engineering and Knowledge Engineering, SEKE 2015
Country/Territory	United States
City	Pittsburgh
Period	6/07/15 → 8/07/15

Keywords

Information retrieval
Ontology
Query expansion

Access to Document

10.18293/SEKE2015-002

Cite this

Chávez, B. G. C., & Melgar, A. (2015). An information retrieval model using query expansion based on ontologies in the computer science domain. In Proceedings - SEKE 2015: 27th International Conference on Software Engineering and Knowledge Engineering (pp. 652-655). (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE; Vol. 2015-January). Knowledge Systems Institute Graduate School. https://doi.org/10.18293/SEKE2015-002

Chávez, Bonnie G.Carranza ; Melgar, Andrés. / An information retrieval model using query expansion based on ontologies in the computer science domain. Proceedings - SEKE 2015: 27th International Conference on Software Engineering and Knowledge Engineering. Knowledge Systems Institute Graduate School, 2015. pp. 652-655 (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE).

@inproceedings{c2440fdb484d47a1ad49b336147252fa,

title = "An information retrieval model using query expansion based on ontologies in the computer science domain",

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.",

keywords = "Information retrieval, Ontology, Query expansion",

author = "Ch{\'a}vez, {Bonnie G.Carranza} and Andr{\'e}s Melgar",

year = "2015",

doi = "10.18293/SEKE2015-002",

language = "English",

series = "Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE",

publisher = "Knowledge Systems Institute Graduate School",

pages = "652--655",

booktitle = "Proceedings - SEKE 2015",

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}

Chávez, BGC & Melgar, A 2015, An information retrieval model using query expansion based on ontologies in the computer science domain. in Proceedings - SEKE 2015: 27th International Conference on Software Engineering and Knowledge Engineering. Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE, vol. 2015-January, Knowledge Systems Institute Graduate School, pp. 652-655, 27th International Conference on Software Engineering and Knowledge Engineering, SEKE 2015, Pittsburgh, United States, 6/07/15. https://doi.org/10.18293/SEKE2015-002

An information retrieval model using query expansion based on ontologies in the computer science domain. / Chávez, Bonnie G.Carranza; Melgar, Andrés.
Proceedings - SEKE 2015: 27th International Conference on Software Engineering and Knowledge Engineering. Knowledge Systems Institute Graduate School, 2015. p. 652-655 (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE; Vol. 2015-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Melgar, Andrés

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N2 - 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.

AB - 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.

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Chávez BGC, Melgar A. An information retrieval model using query expansion based on ontologies in the computer science domain. In Proceedings - SEKE 2015: 27th International Conference on Software Engineering and Knowledge Engineering. Knowledge Systems Institute Graduate School. 2015. p. 652-655. (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE). doi: 10.18293/SEKE2015-002

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

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Keywords

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