A goal-oriented framework for ontology reuse

Author:

Reginato Cássio C.1,Salamon Jordana S.1,Nogueira Gabriel G.1,Barcellos Monalessa P.1,Souza Vítor E. Silva1,Monteiro Maxwell E.1,Guizzardi Renata1

Affiliation:

1. Ontology & Conceptual Modeling Research Group (NEMO), Computer Science Department, Federal University of Espiríto Santo, Vitória, ES, Brazil

Abstract

Ontologies have been successfully used to assign semantics in the Semantic Web context, to support integration of data from different systems or different sources, and to enable reasoning. However, building ontologies is not a trivial task. Ontology reuse can help in this matter. The search and selection of ontologies to be reused should consider the alignment between their scope and the scope of the ontology being developed. In this paper, we discuss how goal modeling can be helpful in this context and we present GO-FOR, a framework in which goals are the central elements to promote ontology reuse. GO-FOR comprises a conceptual architecture, a goal-oriented ontology development process and a supporting tool. In GO-FOR we introduce Goal-Oriented Ontology Patterns (GOOPs) as a new type of pattern to be applied to develop ontologies in a goal-oriented approach. Results of the use of GO-FOR to build an ontology used to integrate patient examination data are also shown in this paper.

Publisher

IOS Press

Subject

Linguistics and Language,Language and Linguistics,General Computer Science

Reference55 articles.

1. Aljahdali, S., Bano, J. & Hundewale, N. (2011). Goal oriented requirements engineering – a review. In Proceedings of the 24th International Conference on Computers and Their Applications in Industry and Engineering (pp. 328–333). https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.706.8764&rep=rep1&type=pdf.

2. Barcellos, M.P., Falbo, R.D.A. & Frauches, V.G.V. (2014). Towards a measurement ontology pattern language. In Proceedings of the 1st Joint Workshop ONTO. COM/ODISE on Ontologies in Conceptual Modeling and Information Systems Engineering 2014.

3. Experiments on pattern-based ontology design

4. Case studies for self-organization in computer science

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