OnTheMove - OTM 2005 Federated Conferences
Agia Napa, Cyprus, 31 Oct - 4 Nov 2005
Fact-Oriented Modeling is a conceptual approach to modeling and querying the information semantics of business domains in terms of the underlying facts of interest, where all facts and rules may be verbalized in language that is readily understandable by non-technical users of those business domains. Unlike Entity-Relationship (ER) modeling and UML class diagrams, fact-oriented modeling treats all facts as relationships (unary, binary, ternary etc.). How facts are grouped into structures (e.g. attribute-based entity types, classes, relation schemes, XML schemas) is considered a lower level, implementation issue that is irrelevant to the capturing essential business semantics. Avoiding attributes in the base model enhances semantic stability and populatability, as well as facilitating natural verbalization. For information modeling, fact-oriented graphical notations are typically far more expressive than those provided by other notations. Fact-oriented textual languages are based on formal subsets of native languages, so are easier to understand by business people than technical languages like OCL. Fact-oriented modeling includes procedures for mapping to attribute-based structures, so may also be used to front-end other approaches.
Those less well known than ER and object-oriented approaches, fact-oriented modeling has been used successfully in industry for over 30 years, and is taught in universities around the world. The fact-oriented modeling approach comprises a family of closely related .dialects., the most well known being Object-Role Modeling (ORM), Natural Language Information Analysis Method (NIAM), and Fully-Communication Oriented Information Modeling (FCO-IM). Though adopting a different graphical notation, the Object-oriented Systems Model (OSM) is a close relative, with its attribute-free philosophy.
Commercial tools supporting the fact-oriented approach include the ORM solution within Microsoft.s Visio for Enterprise Architects, and the FCO-IM tool CaseTalk. Free ORM tools include InfoModeler and Infagon, as well as various academic prototypes. Dogma Modeler, an ORM-based tool for specifying ontologies, is currently being significantly extended. An open-source ORM2 tool is also currently under development to vastly extend both functionality and usability for the next generation of ORM. General information about ORM, and links to other relevant sites, may be found at http://www.orm.net/.
Goals and Topics:
The main goal of this workshop is to provide a forum for researchers and practitioners interested in fact-oriented modeling methods to meet, and exchange research ideas and results. It also provides this group of researchers an opportunity to present their research papers and experience reports, and to take part in open discussions.
Relevant topics include (but are not limited to) theoretical and/or empirical exploration of fact-oriented modeling methods, as well as case studies and experience reports related to:
The workshop is primarily aimed at researchers and practitioners interested in conceptual modeling approaches for the analysis and design of information systems and ontologies. Attendees already familiar with fact-oriented approaches will have the opportunity to update and deepen their knowledge and expertise in this area, especially with respect to the next generation of ORM now under development. Attendees who are less familiar with fact-oriented approaches will have an ideal opportunity to learn about the approach from world experts in the area, and adopt or adapt the many benefits of the approach.
All submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of expression. All submissions must be in English. Submissions should be in PDF format and must not exceed 10 pages in the final camera-ready format. Authors instructions can be found at: http://www.springer.de/comp/lncs/authors.html.
The paper submission site is located at:
On the original submission, include a cover page with title of paper as well as the authors. names, affiliations, phones, faxes, and email addresses. The total number of words in the paper (excluding cover page, tables, and references) should be indicated on the cover page. The second page should begin with the title of the paper followed by an abstract of no more than 150 words.
Failure to commit to presentation at the conference automatically excludes a paper from the proceedings.
For more information on the workshop, please contact: