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Semantic Indexing of Algorithms Courses Based on a New Ontology
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作者 Kamal Elguemmat Elhabib Benlahmar +2 位作者 Mohamed Talea Aziz Chara Mohamed Rachdi 《Computer Technology and Application》 2013年第3期162-166,共5页
Since the publication of the indexation documents and queries are represented by keywords from their content. The use of words to represent the document content and query generates several problems, the ambiguity of w... Since the publication of the indexation documents and queries are represented by keywords from their content. The use of words to represent the document content and query generates several problems, the ambiguity of words and their disparity. The semantic indexing is as a solution that answers these problems. The goal context where the ambiguity is present, the semantic indexing is meant is to index by the meaning of words rather than words. In a to improve the performance of IRS (Information Retrieval System). In this sense we will soon overcome the problems of traditional indexing approaches. What we propose is a new approach that will allow semantically indexing algorithms courses written in French language, based on a new application ontology. The aim of our approach is to adjust a semantic annotation tool with the reference ontology. The semantic annotation tool we generate an index that will be used in e-Learning as needed (question answering performance on the field. systems, information retrieval systems ) while improving 展开更多
关键词 Semantic indexing algorithms courses french language ONTOLOGY e-Learning.
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