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The learning systems are designed for learning about a particular area. Then, it is usually necessary to know the state of knowledge of the learner on a domain before customizing or adapting the learning process. In this paper, we are interested in the semantic analysis of the learner's query put on the WEB by using the domain ontology. The purpose of this analysis is to identify the concepts of domain...
The historical heritage is a vast domain that generates distributed and heterogeneous data repositories in the existing World Wide Web (WWW). The integration of these heterogeneous data repositories and retrieving data from WWW using traditional search engine is a challenging task. In this regard, our research is to demonstrate the feasibility of semantic web technology for creating machine understandable...
Prevalent ontology search engines have facilitated the retrieval of web ontologies based on linguistic information. But the ability of exploring the structure information in web ontologies hasn't been fully investigated, which is important for users to understand retrieved ontologies. Existing indexing technologies cannot be directly performed on ontological structure, because the lack of consensus...
The semantic analysis and context awareness in data mining can intensively increase results precision. In this research different semantic relatedness functions called ??Measure of Semantic Relatedness (MSR)?? are discussed and compared. We found that the quality and accuracy of MSRs are different when applied in various contexts. Here we compared several MSR algorithms using different corpuses and...
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