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By Dietmar Seipel, Michael Hanus, Ulrich Geske, Oskar Bartenstein

This quantity includes a number of papers provided on the fifteenth foreign convention on purposes of Declarative Programming and information M- agement, INAP 2004, and the 18th Workshop on common sense Programming, WLP 2004, that have been held together in Potsdam, Germany, from March 4th to sixth, 2004. Declarative programming is a sophisticated paradigm for the modeling and fixing of advanced difficulties. This speci?cation approach has develop into an increasing number of appealing in recent times, for instance, within the domain names of databases, for the processing of normal language, for the modeling and processing of combinatorial difficulties, and for developing knowledge-based platforms for the internet. The INAP meetings supply a discussion board for extensive discussions of appli- tions of vital applied sciences round good judgment programming, constraint challenge fixing, and heavily similar complex software program. They comprehensively conceal the effect of programmable common sense solvers within the net society, its underlying te- nologies, and modern functions in undefined, trade, executive, and social prone. The Workshops on common sense Programming are the once a year assembly of the Society for good judgment Programming (GLP e.V.). they bring about jointly researchers drawn to common sense programming, constraint programming, and comparable parts like databases and arti?cial intelligence. past workshops were held in Germany, A- tria, and Switzerland. Thetopicsoftheselectedpapersofthisyear’sjointconferenceconcentrateon 3 presently vital ?elds: wisdom administration and choice help, constraint programming and constraint fixing, and declarative programming and Web-based systems.

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Additional resources for Applications of Declarative Programming and Knowledge Management: 15th International Conference on Applications of Declarative Programming and Knowledge Management, INAP 2004, and 18th Workshop on Logic Programming, WLP 2004, Potsdam, Germany, March 4-6,

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The frequent items in each path are stored in their frequency descending order. F P -tree is a highly compact and a much smaller than its original database, and thus saves the costly database scans in the subsequent mining processes. Let us give an example with five transactions. Let the transaction database DB, be the first two columns of Table 1 and the minimum support threshold be 3. The last column of Table 1 collects all frequent 1-items ordered in frequency descending order. One may construct an F P -tree as in Figure 1.

Null values can be omitted, and new values can be added at runtime. In the P ROLOG library F N Q UERY this formalism has been extended to the field notation for XML documents: an XML element Tag a1 = ”v1 ” . . , the subelements of the element. , value:’Msi250a4’]:[] ] ] Another way of representing XML in P ROLOG is the database notation, which is based on the object–relational mapping: the attributes of a complex object o are represented by facts ”attr(o, ai , vi )”, and the subelements o are stored in facts ”ref(o, t, n, o )”, where o is the n–th subelement of o with the tag t.

G. Antoniou, F. van Harmelen: A Semantic Web Primer, MIT Press, 2004. 3. S. Ceri, G. Gottlob, L. Tanca: Logic Programming and Databases, Springer, 1990. 4. S. ): Software Visualization: International Seminar, Dagstuhl Castle, Germany, Springer LNCS 2269, 2002. Declaratively Querying and Visualizing Knowledge Bases in XML 31 5. H. Erdogmus, O. ): Advances in Software Engineering – Comprehension, Evaluation, and Evolution, Springer, 2002. 6. M. Fowler: Refactoring – Improving the Design of Existing Code, Addison–Wesley, 1999.

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