Semantic feedback for the enrichment of conceptual models

Authors:
Esther Lozano;Jorge Gracia;Jochem Liem;Asunción Gómez-Pérez;Bert Bredeweg
Affiliations:
Universidad Politécnica de Madrid, Madrid, Spain;Universidad Politécnica de Madrid, Madrid, Spain;University of Amsterdam, Amsterdam, Netherlands;Universidad Politécnica de Madrid, Madrid, Spain;University of Amsterdam, Amsterdam, Netherlands
Venue:
Proceedings of the sixth international conference on Knowledge capture
Year:
2011

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Abstract

Conceptual modeling is a complex task that requires domain specific knowledge as well as a good command of modeling techniques. In this paper we propose an approach that aims to capture relevant knowledge from an online pool of conceptual models. This knowledge is brought to the user in order to assist the construction of new conceptual models. With our method, relevant feedback is generated based on knowledge extracted from the pool of models. Such feedback, tailored to the current modeling process of the user, allows the model to be improved based on shared knowledge.