By Pekka Abrahamsson (auth.), John Krogstie, Andreas Opdahl, Guttorm Sindre (eds.)
This booklet constitutes the refereed complaints of the nineteenth foreign convention on complicated info platforms Engineering, CAiSE 2007, held in Trondheim, Norway in June 2007.
The 39 revised complete papers provided including 1 keynote speak have been conscientiously reviewed and chosen from 301 submissions. The papers are prepared in topical sections on ontologies, prolonged agencies, info integration, service-oriented structure, strategic alignment, standards, method modeling, strategy engineering, novel functions, participative modeling, and process-aware details 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 info for Advanced Information Systems Engineering: 19th International Conference, CAiSE 2007, Trondheim, Norway, June 11-15, 2007. Proceedings
Additionally, for many applications, it is important to know which version of an ontology was valid at a certain point in time. Several ontology version management systems address this problem. If a user is confronted with diﬀerent versions of an ontology it is often necessary to identify the changes. We present an eﬃcient graph based approach for change detection between two versions of an ontology based on structural comparisons. The result is a change script transforming the old to the new version.
For instance, schemas c and d are similar but they have signiﬁcant diﬀerences in the schema semantics, since d also includes cardinality constraints on the elements. Finally, the eﬃciency of the translation is clearly an issue [5,6]. In order to tackle this problem, in this paper we ﬁrst identify general properties that the translations should fulﬁll and investigate the conditions under which a translation can be considered better than another. We then propose eﬃcient methods for the automatic generation of schema and data translations from one model to another.
E. we can determine the start and the end of a relation, this transformation is lossless and unique and can be reversed by replacing the slots of each node with the respective edge and removing the vroot node and edges. Figure 1 shows an example for such a transformation. On the left the original cyclic graph is shown. The relations IS A and PART OF are deﬁned to be acyclic. 24 J. Eder and K. Wiggisser A IS A IS A C IS A IS A PART OF PART OF PART OF F G USE USED_BY K E IS A H BELONG_TO K vroot vroot PART OF D PART OF RootV B BELONG_TO : H USE : L IS A IS A C I J vroot A IS A IS A L L PART OF D E PART OF IS A IS A PART OF PART OF IS A PART OF OWN USE vroot B F G H USE : G USED_BY : F OWN : K I J Fig.