Developing an Ontology-Based Team Recommender System using EDON Method : An experience Report

Recently, Team Recommender Systems (TRS) have become ex-tremely common because they are software tools and techniques that helps to organizations to composite team needed to carry out a task requiring multiple skills. TRS have two important problems: (1) managing semantic heterogeneity that occurs w...

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Autores principales:	Ayub, María Celeste, Cian, Ayelén, Caliusco, María Laura, Reynares, Emiliano
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2014
Materias:	Ciencias Informáticas team recommender systems ontology-based information system
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/135233 https://publicaciones.sadio.org.ar/index.php/EJS/article/view/38
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-135233
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas team recommender systems ontology-based information system
spellingShingle	Ciencias Informáticas team recommender systems ontology-based information system Ayub, María Celeste Cian, Ayelén Caliusco, María Laura Reynares, Emiliano Developing an Ontology-Based Team Recommender System using EDON Method : An experience Report
topic_facet	Ciencias Informáticas team recommender systems ontology-based information system
description	Recently, Team Recommender Systems (TRS) have become ex-tremely common because they are software tools and techniques that helps to organizations to composite team needed to carry out a task requiring multiple skills. TRS have two important problems: (1) managing semantic heterogeneity that occurs when the data describing the same entities related to the real world is represented in different ways, and (2) specialization excess leading to display the objects of highest similarity with the user specified instead of a wide range of options leaving out of consideration the highest possible user interest infor-mation. In recent years, the ontology-based information systems have gained the attention of the researchers and practitioners since they handle the semantic heterogeneity problem. Despite of the advance done, building methodologies for developing ontology-based systems is still a research area. In this paper, we report our experience in developing an ontology-based TRS by using the EDON method. The developed TRS analyses human resource information to recom-mend a work team for a software development project.
format	Articulo Articulo
author	Ayub, María Celeste Cian, Ayelén Caliusco, María Laura Reynares, Emiliano
author_facet	Ayub, María Celeste Cian, Ayelén Caliusco, María Laura Reynares, Emiliano
author_sort	Ayub, María Celeste
title	Developing an Ontology-Based Team Recommender System using EDON Method : An experience Report
title_short	Developing an Ontology-Based Team Recommender System using EDON Method : An experience Report
title_full	Developing an Ontology-Based Team Recommender System using EDON Method : An experience Report
title_fullStr	Developing an Ontology-Based Team Recommender System using EDON Method : An experience Report
title_full_unstemmed	Developing an Ontology-Based Team Recommender System using EDON Method : An experience Report
title_sort	developing an ontology-based team recommender system using edon method : an experience report
publishDate	2014
url	http://sedici.unlp.edu.ar/handle/10915/135233 https://publicaciones.sadio.org.ar/index.php/EJS/article/view/38
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bdutipo_str	Repositorios
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Developing an Ontology-Based Team Recommender System using EDON Method : An experience Report

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