By Pekka Abrahamsson (auth.), John Krogstie, Andreas Opdahl, Guttorm Sindre (eds.)
This publication constitutes the refereed lawsuits of the nineteenth foreign convention on complex info platforms Engineering, CAiSE 2007, held in Trondheim, Norway in June 2007.
The 39 revised complete papers awarded including 1 keynote speak have been rigorously reviewed and chosen from 301 submissions. The papers are geared up in topical sections on ontologies, prolonged firms, info integration, service-oriented structure, strategic alignment, standards, method modeling, technique engineering, novel purposes, participative modeling, and process-aware info systems.
Read Online or Download Advanced Information Systems Engineering: 19th International Conference, CAiSE 2007, Trondheim, Norway, June 11-15, 2007. Proceedings PDF
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Extra resources for Advanced Information Systems Engineering: 19th International Conference, CAiSE 2007, Trondheim, Norway, June 11-15, 2007. Proceedings
In: Proc. of the Open Interop Workshop on Enterprise Modelling and Ontologies for Interoperability (2005) 4. : PromptDiﬀ: A ﬁxed-point algorithm for comparing ontology versions. In: Proc. of the Nat’l Conf. on Artiﬁcial Intelligence (2002) 5. : Ontology versioning and change detection on the Web. In: Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web, 13th Int’l Conf (2002) 6. : Change in Ontology and Ontology of Change. In: Proc. of Workshop on Ontology Management: Searching, Selection, Ranking, and Segmentation (2005) 7.
Eder and K. Wiggisser e. g. for improving the representation for performance reasons, for better understandability, etc. So probably not all structural changes identiﬁed by our approach will also constitute semantic changes. Note that we do not compare two independently developed ontologies but rather two diﬀerent versions of the same ontology. So the general diﬃculties of schema integration , where frequently the same semantical concepts diﬀer considerable in their representations do not apply.
When taking a closer look on the generated errors, we see that many of the wrong operations are a direct result of errors in the matching and renaming detection. Because, if the algorithm does not match two nodes which represent the same concept or matches two nodes which do not represent the same concept, the algorithm will produce a series of operations (insert, delete, update, change edges and slots) for reestablishing what seems to be the correct structure. Thus, when using this approach in a production environment, we have to ask the user to acknowledge all detected matchings and renamings for correctness and therefore can foreclose many of the resulting errors.