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Pattern matching in conceptual models– A formal crossmodelling language approach

dc.contributor.authorDelfmann, Patrick
dc.contributor.authorHerwig, Sebastian
dc.contributor.authorLis, Łukasz
dc.contributor.authorStein, Armin
dc.contributor.editorMendling, Jan
dc.contributor.editorRinderle-Ma, Stefanie
dc.contributor.editorEsswein, Werner
dc.date.accessioned2019-05-31T08:44:01Z
dc.date.available2019-05-31T08:44:01Z
dc.date.issued2009
dc.description.abstractRecognizing patterns in conceptual models is useful for a number of purposes, for example revealing syntactical errors, model comparison, and identification of business process improvement potentials. In this contribution, we introduce a formal approach for the specification and matching of structural patterns in conceptual models. Unlike existing approaches, we do not focus on a certain application problem or a specific modelling language. Instead, our approach is generic making it applicable for any pattern matching purpose and any conceptual modelling language. In order to build sets representing structural model patterns, we define formal operations based on set theory, which can be applied to arbitrary models represented by sets. Besides a conceptual and formal specification of our approach, we present a prototypical modelling tool that shows its applicability through a particular application scenario.en
dc.identifier.isbn978-3-88579-246-8
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/23203
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofEnterprise modelling and information systems architectures
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-152
dc.titlePattern matching in conceptual models– A formal crossmodelling language approachen
dc.typeText/Conference Paper
gi.citation.endPage26
gi.citation.publisherPlaceBonn
gi.citation.startPage13
gi.conference.date2009, September 10–11
gi.conference.locationUlm
gi.conference.sessiontitleRegular Research Papers

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