Authors: Anis Tissaoui; Salma Sassi
Addresses: Laboratory of Natural and Cultural Resources Valuation (VPNC), Faculty of Law, Economics and Management of Jendouba, University of Jendouba, Avenue U.M.A., 8189 Jendouba, Tunisia ' Laboratory of Natural and Cultural Resources Valuation (VPNC), Faculty of Law, Economics and Management of Jendouba, University of Jendouba, Avenue U.M.A., 8189 Jendouba, Tunisia
Abstract: In dynamic contexts, ontologies and their lexical component (terminological and ontological resource or TOR) have to frequently adapt to domain evolutions, new uses and new user needs. Among all depending data, ontology-based semantic annotations also are regularly updated to tag new documents or to reflect new points of view. Within the TextViz ontology-based annotation framework, we propose EvOnto: a tool and a method that supports a coherent joint change management of termino-ontologies and semantic annotations. A special attention is paid to terms and concept labels as well as quality criteria to evaluate automatic text annotations and to detect lacks in the ontology. The method defines a cyclic process: after annotation evaluation, EvOnto proposes various change operators for the TOR and, for each of them; it allows tuning the consequences of this change within the TOR and back on the annotations. In this paper, the method will be motivated and detailed. The help provided by the support tool will be illustrated in a case-study where a collection of software maintenance files are semantically indexed by a domain TOR.
Keywords: ontology evolution; terminology evolution; semantic annotation; protégé plug-in; EvOnto; knowledge management; terms labels; concept labels; quality criteria; software maintenance files; semantic indexing.
International Journal of Intelligent Engineering Informatics, 2016 Vol.4 No.2, pp.168 - 187
Available online: 22 May 2016 *Full-text access for editors Access for subscribers Purchase this article Comment on this article