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The web size is increasing continuously. Chinese researchers have shown that web growth obeys the Moor's law and the Internet will double in size every 5.32 years. The more the Internet is growing; the more tendencies the people have to use the search engines. Moreover, since most of the commercial search engines are based on keyword indexing, there are many records in their result lists that are...
Current many information retrieval methods are based on purely keywords for representing the user needs. One of the main problems with this method is that it does not formally capture the explicit meaning of a keywords query, and ignores the documents that may be different in content but related with them. To improve the precision of the information retrieval, this paper proposes a hybrid method for...
The Web has been designed for direct human processing, but the next-generation Web, named ??Semantic Web??, aims at machine-processible information. In recent years, only RDFS storage and query are considered because storage and query for other Semantic Web data modeling formalisms, especially OWL, are still an open research issue, and only a very small number of, furthermore incomplete, proposals...
The purpose of the present work was to create a computational framework for radiological registry and diagnosis, which, by means of a nonintrusive approach, allows the users freedom annotation while storing related information in a structured and standard format. To get this goal, this work started with the investigation of lexical and semantic domain of radiological texts, followed by the design...
In this paper, we propose an integrated OWL data mining and query system architecture for expressing the mined knowledge in the OWL format and for effectively answering users' queries. The proposed system consists of five sub-systems: query parser, rule inference system, ontology management system, knowledge generation system, and knowledge management system. We expect the architecture can provide...
Ontology is increasingly being used to build applications that utilize domain-specific knowledge. How to process ontology-based query efficiently has received many attentions in resent research. The measurement of concept's similarity is basis and foundation of semantic query based on ontology, however, current similarity measurement of ontology concepts involves in artificial intelligence area and...
Semantic similarity measure plays an important role in semantic search. However, Intention in educational resources search with semantic similarity has been rarely. In this paper, we proposed ontology based semantic similarity method to compute the user query and provided educational resources, so as to improve the search efficiency. A prototype system has been implemented in light of this approach...
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