Dynamic Integration of RDF and Topic Maps

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Dynamic Integration of RDF and Topic Maps TMAPI SesameTM Cregan’s Vocabulary Arnim Bleier Topic Maps Lab, Leipzig Sesame Cregan’sSchema RDB Repository InMemory Repository SparqlHTTP Repository RDB Repository InMemory Repository SparqlHTTP Repository . . . . . .

Dynamic Integration of RDF and Topic Maps TMAPI SesameTM RDF2TM Configuration Read only SPARQL-Endpoints Caching? Sesame RDB Repository InMemory Repository SparqlHTTP Repository Arbitrary Schema . . .

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This paper reports the efforts to make topic maps from Subject Headings (SHs) and discuss practical use of them for organizing information and knowledge. SHs are often maintained by libraries and used in bibliographic records. SHs are thesauri and they are well organized. Fortunately some SHs are published on the Web. We transformed them to topic maps. Usually each subject in SHs has own ID. It can play PSI role. By keeping the relationships included in SHs such as Broader-Narrower, Related, USE-UF etc in topic maps, information or knowledge can be linked together and organized according to the structure of SHs. In other words, by using SHs information and knowledge can be topic maps easily.

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In connection with structuring and sharing of knowledge in a form of ontologies the question of their assets evaluation occurs. This short paper presents the methodology of asset evaluation of individual instances in ontology based on standard of Topic Maps. The evaluation comes out of weights assignment to instances and associations in ontology and total weight calculation for individual instance and its surroundings. Searching results can be ranked according to this total weight expressing information asset of individual instance.

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The automatic generation of facets works fairly bad for fine-modeled ontologies, in which not all information concerning a single Topic is available through occurrences and direct associations. In this paper, we share our conception of using TMQL path expressions for the definition of domain-specific facets by means of using standard-based Topic Maps technologies. The generated facets must be evaluated, even though they are defined manually by a domain expert. We therefore propose metrics for automatic evaluation of the defined facets, as well as a mechanism for using automatically stored user feedback.

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Dynamic Integration of RDF and Topic Maps

1. Dynamic Integration of RDF and Topic Maps TMAPI SesameTM Cregan’s Vocabulary Arnim Bleier Topic Maps Lab, Leipzig Sesame Cregan’sSchema RDB Repository InMemory Repository SparqlHTTP Repository RDB Repository InMemory Repository SparqlHTTP Repository . . . . . .

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