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Transforming Enterprise Models to Linked Data via Semantic Annotations

dc.contributor.authorPittl, Benedikt
dc.contributor.authorFill, Hans-Georg
dc.contributor.editorSchaefer, Ina
dc.contributor.editorKaragiannis, Dimitris
dc.contributor.editorVogelsang, Andreas
dc.contributor.editorMéndez, Daniel
dc.contributor.editorSeidl, Christoph
dc.date.accessioned2018-01-23T21:43:25Z
dc.date.available2018-01-23T21:43:25Z
dc.date.issued2018
dc.description.abstractThe use of conceptual models in enterprises is today a well-known fact. This includes many zdifferent types of models ranging from process models, organizational models, and infrastructure models to various types used in software engineering and technical systems development. Although these models are largely specified in a formal or at least semi-formal way, the knowledge contained in them is often only accessible via manual inspection. The primary reason for this shortcoming is the use of different formats for expressing models and the lack of machine-processable semantic specifications of the model content. In this paper we present a flexible approach for transforming information from such enterprise models to RDF. Thereby, we use a model weaving technique to annotate conceptual models with concepts from ontologies. For assessing its technical feasibility, the approach has been implemented on the SeMFIS platform and applied to a use case in the area of business process management.en
dc.identifier.isbn978-3-88579-674-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/14958
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2018
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-280
dc.subjectConceptual Model
dc.subjectRDF
dc.subjectOntology
dc.subjectSemantic Annotation
dc.titleTransforming Enterprise Models to Linked Data via Semantic Annotationsen
dc.typeText/Conference Paper
gi.citation.endPage70
gi.citation.publisherPlaceBonn
gi.citation.startPage55
gi.conference.date21.-23. Februar 2018
gi.conference.locationBraunschweig
gi.conference.sessiontitleWissenschaftliche Beiträge

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