Fact-Oriented Modeling: Past, Present and Future

Semantics enactment for interoperability assessment in enterprise information systems

“…It queries the information semantics of business domains in terms of the underlying facts of interest, where all facts and rules may be verbalised in a language readily understandable by users of those business domains (Halpin, 2007). Fact-oriented models are attribute-free, treating all elementary facts as relationships.…”

“…This leads to a greater semantics stability and populatability, as well as facilitates natural verbalisation (Halpin, 2007).…”

ORM-ML: XML schema for ORM metamodel

“…ORM (Object Role Modeling), curr ent version is 2.0, is a conceptual modeling approach that was developed in the early 1970s based on the NIAM (Natural Infonnation Analysis Method) [1][2][3]. Compare to other class-attribute conceptual modeling methods, such as ER and UML, ORM is an attribute-free approach that can build more stable models.…”

Relevance is in the Eye of the Beholder: Design Principles for the Extraction of Context-Aware Information

“…Since the 1970s many approaches to representing domains have been suggested, including the Unified Modeling Language (UML) (Grossman et al, 2005;Jacobson et al, 1999), Entity-Relationship (ER) Diagrams (P. P.-S. Chen, 1976), Objectrole modeling (ORM) (Halpin, 2007), and i* (Yu, 2001). Each approach maintains the assumption that the information about the objects is specified and verified by domain experts and future users of the IS (Appan and Browne, 2010;Browne and Ramesh, 2002).…”