| Verheyen, G. and van Bekkum, P.: NIAM, aN Information Analysis Method. In: IFIP Conference on Comparative Review of Information Systems Methodologies, T.W. Olle, H. Sol, and A. Verrijn-Stuart (eds.), North-Holland (1982). |
....parameterized over the ontology base content) We believe that this should allow non experts to (help to) check, validate or build the commitment rules and will simplify the commitment modeling process. For ORM, verbalizations may eventually be replaced by RIDL Constraint Language expressions ([VB82], DMV88] or expressed in another formalism, and in such case we may compile them (RIDL A, DMV88] As a design pattern in DOGMA framework, when building an ontology from scratch, builders may decide to model the whole ontology into one ontological commitment, which is possible but not ....
Verheyen, G. and van Bekkum, P.: NIAM, aN Information Analysis Method. In: IFIP Conference on Comparative Review of Information Systems Methodologies, T.W. Olle, H. Sol, and A. Verrijn-Stuart (eds.), North-Holland (1982).
....notion of data independence for such applications using databases. Our approach is also motivated partly by earlier experience with successful semantical database( schema) modeling methodologies used in practice (ORM, Object Role Modeling [H96] and NIAM, aN Information Analysis Method [VvB82]) and so allows to identify and analyze some of the essential differences between database and ontology modeling. While ontologies are perhaps best thought of as abstract, mathematical entities, any use of them must be through a (lexical, application) language. The principal modeling consequence ....
....the combination # t always will identify a unique concept type within that context. A more realistic treatment would probably define # together with suitable operators as a context algebra, allowing to construct contexts as expressions from others. Concept types (or non lexical entity types, [VvB82]) are assumed to stand for the things themselves in the universe of discourse independently of any lexical representation, attributes or properties. Formally, denoting the set of concept types in our universe of discourse by C, there is a partial function denoted by ct: #A # C that for a ....
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Verheyen, G. and van Bekkum, P.: NIAM, aN Information Analysis Method. In: IFIP Conference on Comparative Review of Information Systems Methodologies, T.W. Olle, H. Sol, and A. Verrijn-Stuart (eds.), NorthHolland (1982).
....and manage domain semantics external to those programs as well. Our approach is therefore also motivated in part by earlier experience with successful semantical database( schema) modeling methodologies used in practice (ORM, Object Role Modeling [14] and NIAM, aN Information Analysis Method [29], also Nijssen s or Natural IAM) and so allows to identify and analyze some of the essential differences between database and ontology modeling. While ontologies are perhaps best thought of as abstract, mathematical entities, any use of them must be through a (lexical, application) ....
.... (encoding decoding transformation) not discussed here but obvious in this particular case, possibly mediated by an expert, mapping the organization jargon to selected lexical entities in , the expert, and or a parser, assisted by the ontology extracts the following RIDL reference paths ( 21] [29]) second column below, which naturally involve terms referring to non lexical concepts and role labels from . The OF roles, corresponding to WITH bridges, and [it] are syntactic sugar added for readability. The context labels are omitted for simplicity. Empl Contract employment contract ....
Verheyen, G. and van Bekkum, P.: NIAM, aN Information Analysis Method. In: IFIP Conference on Comparative Review of Information Systems Methodologies, T.W. Olle, H. Sol, and A. Verrijn-Stuart (eds.), North-Holland (1982).
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Verheyen, G. and van Bekkum, P.: NIAM, aN Information Analysis Method. In: IFIP Conference on Comparative Review of Information Systems Methodologies, T.W. Olle, H. Sol, and A. Verrijn-Stuart (eds.), North-Holland (1982).
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