DocumentCode
658413
Title
Integrating an enterprise architecture ontology in a case-based reasoning approach for project knowledge
Author
Martin, Andrew ; Emmenegger, Sandro ; Wilke, Gustavo
Author_Institution
Inst. for Inf. Syst., Univ. of Appl. Sci. Northwestern Switzerland FHNW, Olten, Switzerland
fYear
2013
fDate
7-8 Nov. 2013
Firstpage
1
Lastpage
12
Abstract
The retrieval of historical project knowledge is still a challenge for enterprises nowadays. This paper introduces a case-based reasoning (CBR) approach for project knowledge. This approach improves the case-based reasoning by reusing enterprise specific domain knowledge that is defined in an enterprise ontology. Since the retrieval of relevant project knowledge from historical cases is a knowledge intensive task that relies heavily on enterprise specific domain knowledge, we represent both, historical cases as well as the necessary domain knowledge, in an enterprise ontology structure. The contribution of the paper is the introduction of a novel case retrieval mechanism that emphasizes enterprise specific domain knowledge by reusing an enterprise ontology named ArchiMEO. This ontology is a representation of the enterprise architecture ArchiMate® and other integrated standards. This work is based on a real-world scenario elicited from a business partner of the Swiss CTI research project [sic!]. The approach tackles the information need that might occur during a prospective project.
Keywords
business data processing; case-based reasoning; information needs; information retrieval; ontologies (artificial intelligence); ArchiMEO; ArchiMate; Swiss CTI research project; case retrieval mechanism; case-based reasoning; enterprise architecture ontology; enterprise ontology structure; enterprise specific domain knowledge; information need; knowledge intensive task; project knowledge retrieval; standards; Adaptation models; Business; Cognition; Computer architecture; Information systems; Ontologies; Standards; case-based reasoning; enterprise architecture; enterprise ontology; instance similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Enterprise Systems Conference (ES), 2013
Conference_Location
Cape Town
Print_ISBN
978-1-4673-6411-9
Type
conf
DOI
10.1109/ES.2013.6690082
Filename
6690082
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