DOGMA

DOGMA, short for Developing Ontology-Grounded Methods and Applications, is the name of research project in progress at Vrije Universiteit Brussel's STARLab, Semantics Technology and Applications Research Laboratory. It is an internally funded project, concerned with the more general aspects of extracting, storing, representing and browsing information. Methodological Root DOGMA, as a dialect of the fact-based modeling approach, has its root in database semantics and model theory. It adheres to the fact-based information management methodology towards Conceptualization and 100% principle of ISO TR9007. The DOGMA methodological principles include: Data independence: the meaning of data shall be decoupled from the data itself. Interpretation independence: unary or binary fact types (i.e. lexons) shall be adhere to formal interpretation in order to store semantics; lexons themselves do not carry semantics Multiple views on and uses of stored conceptualization. An ontology shall be scalable and extensible. Language neutral. An ontology shall meet multilingual needs. Presentations independence: an ontology in DOGMA shall meet any kinds of users' needs of presentation. As an FBM dialect, DOGMA supports both graphical notations and textual presentation in a controlled language. Semantic decision tables, for example, is a means to visualize processes in a DOGMA commitment. SDRule-L is to visualize and publish ontology-based decision support models. Concepts shall be validated by the stakeholders. Informal textual definitions shall be provided in case the source of the ontology is missing or incomplete.