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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...
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 increasing volume of semantic content available in the Web, generally classified by concept hierarchies or simple ontologies, turns the searching and reasoning upon these data a great challenge. Generally, a search in Semantic Web may not be addressed to a specific document, but to a group of data classified in the same concept. Several structures used to distribute data, e.g. P2P networks, use...
This paper presents a new conceptual indexing technique intended to overcome the major problems resulting from the use of Term Frequency (TF) based approaches. To resolve the semantic problems related to TF approaches, the proposed technique disambiguates the words contained in a document and creates a list of super ordinates based on an external knowledge source. In order to reduce the dimension...
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