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Generating Ontologies through Organizational Modeling
Karen Najera
Hugo Estrada Esquivel
Anna Perini
Acceso Abierto
Lenguaje de indexación
Ontologies are recognized as important component of information systems supporting business processes within and across organizations. At modeling time, they contribute identifying key elements from business processes; at development time, their structure can be translated automatically into information system’s source code; finally, at run time, through queries and reasoning, they provide proper data for decision making. Additionally, ontologies provide the basis for sharing and publishing organizational information through the Semantic Web. However, representing organizational information directly into an ontology requires specialized expertise in the ontology engineering domain, thus, ontologies are not generated using a domain language easily for the organizational domain experts. In this work, we propose the use of specialized organizational modeling techniques as starting point to model the organization, thereby, ensuring the proper definition of the organizational knowledge. Then, a mechanism is provided to automatically transform the organizational knowledge in its corresponding ontological representation. Our proposed approach is based on Model Driven Engineering ideas and it involves: a) the development of an ontology representing the metamodel of two widely used organizational modeling techniques i* and Tropos and b) the systematic transformation of i* based modeling primitives into instances of the ontology.
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