An Experience Report on using the EDON Method for Building a Team Recommender System

Team Recommender Systems (TRS) have become extremely common in recent years 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 occ...

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Detalles Bibliográficos
Autores principales: Ayub, María Celeste, Cian, Ayelén N., Caliusco, María Laura, Reynares, Emiliano
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2013
Materias:
Ciencias Informáticas
team recommender systems
ontology-based information system
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/76373
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-76373
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 N.
Caliusco, María Laura
Reynares, Emiliano
An Experience Report on using the EDON Method for Building a Team Recommender System
topic_facet Ciencias Informáticas
team recommender systems
ontology-based information system
description Team Recommender Systems (TRS) have become extremely common in recent years 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 information. On the other hand, recently, the ontology-based information systems have gained the attention of the researchers and practitioners since they handle the semantic heterogeneity problem. In this paper we report our experience in using the EDON methodology to build a TRS that analyses human resource information to recommend a work team for a software development project.
format Objeto de conferencia
Objeto de conferencia
author Ayub, María Celeste
Cian, Ayelén N.
Caliusco, María Laura
Reynares, Emiliano
author_facet Ayub, María Celeste
Cian, Ayelén N.
Caliusco, María Laura
Reynares, Emiliano
author_sort Ayub, María Celeste
title An Experience Report on using the EDON Method for Building a Team Recommender System
title_short An Experience Report on using the EDON Method for Building a Team Recommender System
title_full An Experience Report on using the EDON Method for Building a Team Recommender System
title_fullStr An Experience Report on using the EDON Method for Building a Team Recommender System
title_full_unstemmed An Experience Report on using the EDON Method for Building a Team Recommender System
title_sort experience report on using the edon method for building a team recommender system
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/76373
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