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Titlebook: Uncertainty Reasoning for the Semantic Web II; International Worksh Fernando Bobillo,Paulo C. G. Costa,Michael Pool Conference proceedings

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楼主: 嬉戏
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Semantic Web Search and Inductive Reasoninggy of the Web is evolving towards some novel form of Semantic Web search. A very promising recent such approach is based on combining standard Web pages and search queries with ontological background knowledge, and using standard Web search engines as the main inference motor of Semantic Web search.
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Ontology Enhancement through Inductive Decision Trees Different ontologists, experts, and organizations create a great variety of ontologies, often for narrow application domains. Some of the created ontologies frequently overlap with other ontologies in broader domains if they pertain to the Semantic Web. Sometimes, they model similar or matching the
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Assertion Prediction with Ontologies through Evidence Combinationidence and the analogical criterion. Once neighbors of a test individual are selected through some distance measures, a combination rule descending from the Dempster-Shafer theory can join together the evidence provided by the various neighbor individuals in order to predict unknown values in a lear
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Storing and Querying Fuzzy Knowledge in the Semantic Web Using FiREages of RDF stores in order to support expressive fuzzy querying services over the stored data. All our extensions have been implemented in FiRE—an expressive fuzzy DL reasoner that supports the language fuzzy-.. Finally, the proposed architecture is evaluated using an industrial application scenario about casting for TV commercials and spots.
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