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Automatic Knowledge Retrieval from Conceptual Models |
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Jörg Becker, Daniel Pfeiffer
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vrijdag, 22 juni 2007 |
Conceptual models are an important repository for knowledge in companies and public institutions. The retrieval of this knowledge can prepare reorganisations projects and support IT investment decisions. However, so farthis information source has hardly been utilized in automated analyses. We argue that if modelling languages are endowed with specific characteristics the resulting models can be analysed in an automatic manner. We formally show that with such languages: (1) type, synonym, homonym, and abstraction conflicts are eliminated as well as (2) the identification of semantically equivalent model elements can be traced back to finding syntactic ones.
Conceptual models are an important repository for knowledge in companies and public institutions. The retrieval of this knowledge can prepare reorganisations projects and support IT investment decisions. However, so farthis information source has hardly been utilized in automated analyses. We argue that if modelling languages are endowed with specific characteristics the resulting models can be analysed in an automatic manner. We formally show that with such languages: (1) type, synonym, homonym, and abstraction conflicts are eliminated as well as (2) the identification of semantically equivalent model elements can be traced back to finding syntactic ones.
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