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- 65 creator bijan-parsia.
- 65 creator pavel-klinov.
- 65 type InProceedings.
- 65 label "Pronto: Probabilistic Ontological Modeling in the Semantic Web".
- 65 sameAs 65.
- 65 abstract "This demonstration illustrates the benefits of probabilistic ontological modeling for uncertain domains in the Semantic Web. It is based on Pronto - probabilistic OWL reasoner that allows modelers to complement classical OWL ontologies with probabilistic statements. In addition to Pronto's features and capabilities, a great deal of the demonstration will be devoted to presenting modeling patterns, typical pitfalls, desirable as well as incidental consequences of probabilistic reasoning. The testbed will be the prototype of the Breast Cancer Risk Assessment ontology that we have developed to evaluate Pronto.".
- 65 hasAuthorList authorList.
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- 65 keyword "OWL".
- 65 keyword "Ontology".
- 65 keyword "Probabilistic Reasoning".
- 65 title "Pronto: Probabilistic Ontological Modeling in the Semantic Web".
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- 66 creator alvaro-graves.
- 66 creator james-hendler.
- 66 creator sibel-adali.
- 66 type InProceedings.
- 66 label "A method to rank nodes in an RDF graph".
- 66 sameAs 66.
- 66 abstract "Despite the increasing popularity of RDF as a data representation method, there is no accepted measure of the importance of nodes in an RDF graph. Such a measure could be used to sort the nodes returned by a SPARQL query or to find the important concepts in an RDF graph. In this paper we propose a graph-theoretic measure called noc-order for ranking nodes in RDF graphs based on the notion of centrality. We illustrate that this method is able to capture interesting global properties of the underlying RDF graph using study cases from different knowledge domains. We also show how well noc-order behaves even if the underlying data has some noise, i.e. superfluous and/or erroneous data. Finally, we discuss how information about the importance of different predicates either based on their informativeness, prior semantic information about them or user preferences can be incorporated into this measure. We show the effects of such modifications to the ranking method by examples.".
- 66 hasAuthorList authorList.
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- 66 keyword "RDF".
- 66 keyword "centrality".
- 66 keyword "ranking".
- 66 title "A method to rank nodes in an RDF graph".
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- item-1 hasContent alvaro-graves.
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- 67 creator david-paul-mann.
- 67 creator thomas-franz.
- 67 type InProceedings.
- 67 label "COSIMail and COSIFile: Semantic Desktop Extensions for Email and File Management".
- 67 sameAs 67.
- 67 abstract "In this poster, we present COSIFile and COSIMail, semantic desktop tools for enhanced file and email management that are based on the X-COSIM semantic desktop framework. They are implemented as extensions for an email client and file manager, specifically designed to enhance support for the personal information managment tasks of information organization and re-finding.".
- 67 hasAuthorList authorList.
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- 67 keyword "personal information management".
- 67 keyword "re-finding".
- 67 keyword "semantic desktop".
- 67 title "COSIMail and COSIFile: Semantic Desktop Extensions for Email and File Management".
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- 68 creator grazyna-paliwoda-pekosz.
- 68 creator pawel-lula.
- 68 type InProceedings.
- 68 label "AN ONTOLOGY-BASED CLUSTER ANALYSIS FRAMEWORK".
- 68 sameAs 68.
- 68 abstract "The main objectives of this paper are to discuss the various aspects of similarity calculations between objects and sets of objects in ontology-based environments and to propose a framework for cluster analysis in such an environment. The framework is based on the ontology specification of two core components: description of categories and description of objects. Similarity between objects is defined as an amalgamation function of taxonomy, relationship and attribute similarity. The different measures to calculate similarity that can be used in framework implementations are presented. The ontology-based data representation and the framework of cluster analysis can be useful in the area of Business Intelligence, e.g. clustering similar companies that profiles are described by ontology-based data.".
- 68 hasAuthorList authorList.
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- 68 keyword "cluster analysis".
- 68 keyword "data mining".
- 68 keyword "ontology".
- 68 keyword "similarity measures".
- 68 title "AN ONTOLOGY-BASED CLUSTER ANALYSIS FRAMEWORK".
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