Information modeling and relational databases: from conceptual analysis to logical design
Information modeling and relational databases: from conceptual analysis to logical design
NIAM Information Analysis Method: Theory and Practice
NIAM Information Analysis Method: Theory and Practice
Weaving the Web; The Original Design and Ultimate Destiny of the World Wide Web by Its Inventor (2 Cassettes)
Fundamentals of Database Systems with Cdrom and Book
Fundamentals of Database Systems with Cdrom and Book
View Integration: A Step Forward in Solving Structural Conflicts
IEEE Transactions on Knowledge and Data Engineering
A Logic Framework for a Semantics of Object-Oriented Data Modeling
OOER '95 Proceedings of the 14th International Conference on Object-Oriented and Entity-Relationship Modelling
ConQuer: A Conceptual Query Language
ER '96 Proceedings of the 15th International Conference on Conceptual Modeling
Object role modelling and XML-Schema
ER'00 Proceedings of the 19th international conference on Conceptual modeling
Data modelling versus ontology engineering
ACM SIGMOD Record
Formal Ontology Engineering in the DOGMA Approach
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
Modularization and automatic composition of object-role modeling (ORM) schemes
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
Unsatisfiability reasoning in ORM conceptual schemes
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
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The 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.