By Marek Rusinkiewicz (auth.), Johann Eder, Michele Missikoff (eds.)
This publication constitutes the refereed complaints of the fifteenth foreign convention on complicated details structures Engineering, CaiSE 2003, held in Klagenfurt, Austria in June 2003.
The forty five revised complete papers awarded including three invited contributions have been conscientiously reviewed and chosen from 219 submissions. The papers are geared up in topical sections on XML, tools and versions for info platforms, UML, web company and social modeling, peer-to-peer structures, ontology-based equipment, complex layout of data structures, wisdom, wisdom administration, net providers, info warehouses, digital agreements and workflow, standards engineering, metrics and strategy engineering, and agent applied sciences and complicated environments.
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Extra info for Advanced Information Systems Engineering: 15th International Conference, CAiSE 2003 Klagenfurt/Velden, Austria, June 16–20, 2003 Proceedings
Let P be a consistent set of paths and let T be an XML tree that conforms to P and is complete. An XMVD is a statement of the form p →→ q|r where p, q and r are paths in P . T satisﬁes p →→ q|r if whenever there exists two distinct paths path instances v¯1 . ¯ vn and w ¯1 . w ¯n in P aths(q) such that: (i) val(¯ vn ) = val(w ¯n ); Multivalued Dependencies and a 4NF for XML vr E 21 root v8 E Id v1 E Course v2 E Id v3 E v5 Teacher v6 Id “Algorithms” v4 E “Fred” Teacher E “Mary” E Text “Text A” v7 E Text “Text B” Fig.
Tan. Keys for xml. Computer Networks, 39(5):473–487, 2002. 7. P. Buneman, W. Fan, J. Simeon, and S. Weinstein. Constraints for semistructured data and xml. ACM SIGMOD Record, 30(1):45–47, 2001. 8. P. Buneman, W. Fan, and S. Weinstein. Path constraints on structured and semistructured data. In Proc. ACM PODS Conference, pages 129–138, 1998. 9. W. Fan and J. Simeon. Integrity constraints for xml. In Proc. ACM PODS Conference, pages 23–34, 2000. 10. M. Levene and G. Loizu. Axiomatization of functional dependencies in incomplete relations.
In the weak satisfaction approach, a relation is deﬁned to weakly satisfy a FD if there exists at least one completion of the relation, obtained by replacing all occurrences of nulls by data values, which satisﬁes the FD. A relation is said to strongly satisfy a FD if every completion of the relation satisﬁes the FD. Both approaches have their advantages and disadvantages (a more complete discussion of this issue can be found in ). The weak satisfaction approach has the advantage of allowing a high degree of uncertainty to be represented in a database but at the expense of making maintenance of integrity constraints much more diﬃcult.