Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/4188
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dc.contributor.authorDemey, Jan
dc.contributor.authorJarrar, Mustafa
dc.contributor.authorMeersman, Robert
dc.date.accessioned2017-01-30T12:35:18Z
dc.date.available2017-01-30T12:35:18Z
dc.date.issued2002
dc.identifier.urihttp://hdl.handle.net/20.500.11889/4188
dc.description.abstractThe Internet creates a strong demand for standardized exchange not only of data itself but especially of data semantics, as this same internet increasingly becomes the carrier of e-business activity (e.g. using web services). One way to achieve this is in the form of communicating “rich” conceptual schemas. In this paper we adopt the well-known CM technique of ORM, which has a rich complement of business rule specification, and develop ORM-ML, an XML-based markup language for ORM. Clearly domain modeling of this kind will be closely related to work on so-called ontologies and we will briefly discuss the analogies and differences, introducing methodological patterns for designing distributed business models. Since ORM schemas are typically saved as graphical files, we designed a textual representation as a marked-up document in ORM-ML so we can save these ORM schemas in a more machine exchangeable way that suits networked environments. Moreover, we can now write style sheets to convert such schemas into another syntax, e.g. pseudo natural language, a given rule engine’s language, first order logic. An early version of this paper has been presented at the “Rule Markup Languages for Business Rules on the Semantic Web” Workshop, 2002.en_US
dc.language.isoen_USen_US
dc.subjectSemantic integration (Computer systems)en_US
dc.subjectSemantic networks (Information theory)en_US
dc.subject.lcshDocument markup languages
dc.titleA conceptual markup language that supports interoperability between business role modeling systemsen_US
dc.typeArticleen_US
newfileds.departmentEngineering and Technologyen_US
newfileds.item-access-typeopen_accessen_US
newfileds.thesis-prognoneen_US
newfileds.general-subjectnoneen_US
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