Towards an OWLFormalization of the Resource Event Agent Business Domain Ontology
| Venue: | Proc. 10th Int’l Conf. Business Information Systems, LNCS |
| Citations: | 1 - 0 self |
BibTeX
@INPROCEEDINGS{Gailly_towardsan,
author = {Frederik Gailly and Geert Poels},
title = {Towards an OWLFormalization of the Resource Event Agent Business Domain Ontology},
booktitle = {Proc. 10th Int’l Conf. Business Information Systems, LNCS},
year = {}
}
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Abstract
Abstract. Business domain ontologies offer great opportunities for facilitating communication between people in business, for improving the enterprise system engineering processes and for creating interoperability between enterprise systems. However despite these opportunities, their use in practice is still limited. This can be partly attributed to the lack of formal representation of these ontologies. This paper analyses current formalizations of the Resource Event Agent business domain ontology (REA-ontology) and investigates how this formalizations can be improved. Our approach recognises the opportunities that the conceptual modelling and database field can offer for ontology engineering and as a consequence a UML conceptualization of the business domain ontology is used as starting point of the formalization. Based on the transformation guidelines from UML to OWL and the current formalization of OWL we present some transformation dilemmas. It is our believe that these formalization problems are not unique to business domain ontologies and that other domain ontologies can also benefit from standard solutions to these formalization problems. 1 Problem and Context Business domain ontologies offer great opportunities for creating interoperability between enterprise systems. The successful application depends on the quality of the business domain ontology. Important ontological quality factors are reusability, reliability, shareability, portability and interoperability[1, 2]. In our view a business domain ontology with a strong theoretical basis which is engineered following a good methodology resulting in a proper formalisation will be of a much higher quality. This in turn will lead to more and successful applications. The last decade different business domain ontologies (Tove[3], Enterprise Ontology[4], REA Business Ontology[5], E3 value Ontology[6] and Business Model Ontology[7]) have been proposed. The developers of these business domain ontologies have different scientific backgrounds and this is shown in the different theoretical backgrounds of the ontologies. The creators of Tove and the Enterprise Ontology have an artificial intelligence background and the development
Keyphrases
business domain ontology enterprise system formalization problem current formalization great opportunity successful application enterprise ontology proper formalisation important ontological quality factor transformation dilemma conceptual modelling uml conceptualization transformation guideline artificial intelligence background enterprise system engineering process different scientific background formal representation rea business ontology business model ontology e3 value ontology good methodology domain ontology context business domain ontology strong theoretical basis different theoretical background standard solution ontology engineering database field
