Automatic Knowledge Retrieval from Conceptual Models
Abstract
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 far this 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.
Keywords
Model Comparison; Domain Specific Languages; Conceptual; Modelling; PICTURE
Cite as
Becker, J., & Pfeiffer, D. (2007). Automatic Knowledge Retrieval from Conceptual Models. In Proceedings of the 12th International Workshop on Exploring Modeling Methods for Systems Analysis and Design (EMMSAD'07), Trondheim, Norway, 163–182.Details
Publication type
Research article in proceedings (conference)
Peer reviewed
Yes
Publication status
Published
Year
2007
Conference
12th International Workshop on Exploring Modeling Methods for Systems Analysis and Design (EMMSAD'07)
Venue
Trondheim, Norway
Book title
Proceedings of the 12th International Workshop on Exploring Modeling Methods for Systems Analysis and Design (EMMSAD'07) held in conjunctiun with the 19th Conference on Advanced Information Systems (CAiSE'07)
Editor
Proper E, Halpin T, Krogstie J
Start page
163
End page
182
Volume
365
Title of series
CEUR Workshop Proceedings
Language
English
ISSN
1613-0073
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