Business and Enterprise Ontology Management with SymOntoX

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A Systematic Method for the Intentional Modeling and Verification of Business Applications

International audienceRecently, we have witnessed a growing need to volve business poeple in the early stages of Entreprise Information Systems developmment. The MAP methodology apperars to be a good candidate for involving business poeple in the early modelling of business application, reducing the risk of business-IT systems misalignement. fUrthermore, in the context of Model Driven Enginieering, such a methodology perfectly fits in the upper CIM level. in this paper we revisit the MAP to propose a formal approach capable of prociding solid basis to it, necessary when developing automatic tools aimed at supporting tha modeling activity and the verification of the production map diagram

Enriching Ontology Languages Adequacy for eBusiness Domain

Abstract. The definition of a domain ontology is a complex activity that requires two kinds of expertise: a deep knowledge of the domain to be modeled and a good level of familiarity with the ontology representation language to be used in order to formalize the built model. Existing ontology languages (such as SHOE, DAML+OIL, OWL) are inherently general purpose, allowing different domains to be tackled and modeled. We believe it is possible to enrich an ontology language with domain specific features to ease the ontology building process. Such a goal can be achieved along two lines. One is to provide a core domain ontology, containing the most general concepts in the domain of interest; another is to introduce specific modeling constructs in the ontology language. The latter option, referred to as domain adequacy, is addressed in this paper. We will show that adding a few domain specific concept categories in the language allows better ontologies to be built

A Method for Ontology Modeling in the Business Domain 1

Abstract. Today ontology languages present a syntax which looks not “natural” and are lacking of built-in primitives (i.e., modeling notions) domain experts are familiar with. In this paper we present an ontology representation method, OPAL, based on Object, Process and Actor primary concept categories. OPAL offers a number of modeling notions useful in the e-Business domain, but general enough to be used in diverse business sectors (such as automotive, tourism or banking). The domain expert, during the ontology modeling process, is required to identify the relevant concepts of the domain and to classify them according to OPAL categories. Furthermore, a set of semantic relations (such as is-a, part-of, relatedness) and some domain specific relations (generated-by, updated-by, roles, skills, etc.) can be used to describe the relationships among these concepts. 1