A Method for Detecting Behavior-Based User Profiles in Collaborative Ontology Engineering

Onderzoeksoutput: Conference paper

6 Citaten (Scopus)


Ontology engineering is far from trivial and most collaborative methods and tools start from a prede fined set of rules, stakeholders can have in the ontology engineering process. We, however, believe that the di fferent types of user behavior are a priori not known and depend on the ontology engineering project. The detection of such user profi les based on unsupervised learning allows finding roles and responsibilities along peers in a collaborative setting. In this paper, we present a method for automatic detection of user profi les in a collaborative ontology engineering environment by means of the K-means clustering algorithm only by looking at the type of interactions a user makes. In this paper we use the GOSPL ontology engineering tool and method to demonstrate this method. The data used to demonstrate the method stems from two ontology engineering projects involving respectively 42 and 36 users.
Originele taal-2English
TitelOn the Move to Meaningful Internet Systems: OTM 2014 Conferences
RedacteurenRobert Meersman, Hervé Panetto, Tharam Dillon, Michele Missikoff, Lin Liu, Oscar Pastor, Alfredo Cuzzocrea, Timos Sellis
Plaats van productieBerlin Heidelberg
Aantal pagina's17
ISBN van elektronische versie978-3-662-45563-0
ISBN van geprinte versie978-3-662-45562-3
StatusPublished - 27 okt 2014
EvenementConfederated International Conferences: CoopIS, and ODBASE 2014 - Calabria, Amantea, Italy
Duur: 27 okt 201431 okt 2014

Publicatie series

NaamLecture Notes in Computer Science


ConferenceConfederated International Conferences: CoopIS, and ODBASE 2014


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