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Statistics-Based Graphical Modeling Support for Ontologies

Authors:
Andreas Emrich
Frieder Ganz
Dirk Werth
Peter Loos

Keywords: user modeling support; ontology modeling; ontology evolution; usage evaluation

Abstract:
Models are a conceptualization and aperture of the real world. The asynchronous characteristics of this model construction poses a significant problem especially in highly dynamic and evolving environments. Hence, models need to be permanently checked against the data they represent. From this new challenges for modeling tools arise: Contemporary modeling tools must be able to anticipate environmental events and changes and to provide appropriate support for knowledge engineers. This paper presents a conceptual approach to process events, collect usage statistics and leverage this information for automatic and semi-automatic modeling support of ontologies. In a prototypical evaluation, a plugin for Proteg´e is developed, that allows for editing ontologies and visualizing new insights according to captured statistics. The paper concludes with two distinct show cases for business process modelling and sensor networks.

Pages: 13 to 19

Copyright: Copyright (c) IARIA, 2013

Publication date: September 29, 2013

Published in: conference

ISSN: 2308-4510

ISBN: 978-1-61208-293-6

Location: Porto, Portugal

Dates: from September 29, 2013 to October 3, 2013