By the development of internet technology, the quantity of web information increased in multiple-rate. How to look up the users need information quickly and accurately becomes a hot spot that the search engine area researched. Today, the traditional search engine which is by the use of keywords matching shows its disadvantage under the increase of
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With the development of computer technology, internet, and multi-media, as well as the mention of semantic web technology, network has become an important platform for us to learn. The sharp growth of multimedia data, especially digital cameras and mobile phone photograph popularization, the number of image information is growing rapidly. Image can express information vividly
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With the rapid development of network and information times, Users selection and utilizationinformation resources has become an increasingly serious problem in people’s information life ,then the credibility calculation of information resources is able to solve this problem provide very good help. Now the semantic trust computation has gained a lot of progress, but it also
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Ontology learning is one of the essential topics in the scope of an important area of current computer science and artificial intelligence (?) the upcoming Semantic Web. As the Semantic Web idea comprises semantically annotated descendant of the current World Wide Web and related tools and resources, the need of vast and reliable knowledge repositories
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Nowadays, the information on the Internet is complicated and overloaded. Moreover, the format of the information is various, and the quality of that is uneven. Among them one kind of the most high-quality data is structured data , including the relational database, the ontology, and the XML database. The structured data of great value in
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Ontology mapping is the key technology of solving the bottlenecks of semantic web development. However, with the developing of semantic web, the large-scale ontologies which have a lot number of concepts and complex relationship between concepts have appeared. Since there are some difference on entity number and mapping difficulty between large-scale ontologies and general ontologies,
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Nowadays, the information on the Internet is complicated and overloaded. Moreover, the format of the information is various, and the quality of that is uneven. Among them one kind of the most high-quality data is structured data , including the relational database, the ontology, and the XML database. The structured data of great value in
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As a new generation of Internet, more and more researchers pay attention to the semantic web. RDF (Resource Description Framework), recommendation of W3C organization to depict web resources, is the data model for describing metadata. As the fundamental of RDF, the RDF graph is a directed hypergraph. Meanwhile, in order to query RDF data, W3C
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Semantic web can make the information on the web understood by the computer. This makesthe automation processing, sharing and reuse of information come true. The definition of ontologyin computer science is”an explicit specification of a conceptualization”. Ontology is the base of theSemantic Web. All of these reasons result a mass disappear of heterogeneous ontologies: the
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SOC and SOA are milestones of technological progress in the fields of distributed systems and software integration. While, service discovery and service composition have problems of involving narrow and not completely satisfying needs. To solve these problems, composition-oriented service discovery arises. As the bridge between service discovery and composition, it contains both proceeding service discovery
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