Automatic Knowledge Retrieval from Conceptual Models

Becker J, Pfeiffer D


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



Publication type
Conference Paper

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

Pages range
163-182

Volume
365

Title of series
CEUR Workshop Proceedings

Language
English

ISSN
1613-0073

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