Transforming Enterprise Models to Linked Data via Semantic Annotations
dc.contributor.author | Pittl, Benedikt | |
dc.contributor.author | Fill, Hans-Georg | |
dc.contributor.editor | Schaefer, Ina | |
dc.contributor.editor | Karagiannis, Dimitris | |
dc.contributor.editor | Vogelsang, Andreas | |
dc.contributor.editor | Méndez, Daniel | |
dc.contributor.editor | Seidl, Christoph | |
dc.date.accessioned | 2018-01-23T21:43:25Z | |
dc.date.available | 2018-01-23T21:43:25Z | |
dc.date.issued | 2018 | |
dc.description.abstract | The 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.isbn | 978-3-88579-674-9 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/14958 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | Modellierung 2018 | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-280 | |
dc.subject | Conceptual Model | |
dc.subject | RDF | |
dc.subject | Ontology | |
dc.subject | Semantic Annotation | |
dc.title | Transforming Enterprise Models to Linked Data via Semantic Annotations | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 70 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 55 | |
gi.conference.date | 21.-23. Februar 2018 | |
gi.conference.location | Braunschweig | |
gi.conference.sessiontitle | Wissenschaftliche Beiträge |
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