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In recent years, the fast growth of Web pages and the constant evolution of internet technologies have lead to a significant increase in the number of pedagogical resources. Thus, the indexing and search problems have become crucial. To overcome this problem, it was proposed to use information coming from the norms and standards of educational metadata. However, this solution does not solve completely...
In this paper, we present a statistical approach to semantic indexing for multilingual text documents based on conceptual network formalism. We propose to use this formalism as an indexing language to represent the descriptive concepts and their weighting. These concepts represent the content of the document. Our contribution is based on two steps; we propose, in the first step, the extraction of...
With the growing needs of dimension reduction for term selection and recommendation and the up to date trends in natural language processing modules integrated in existing architectures and multiple semantic web system such as search engine. The existence of multiples tokenization techniques of the same text represents a persistent problem in current semantic search engine practice and create a non-trivial...
Information Technology brought many applications of Information Retrieval as simple as possible through Web and other Digital Information Access Environment. There is a demand in building Applications of IR in Local languages, which allows common people with minimal knowledge in at least one language to avail the information services. Word mismatch is a common problem in IR System Applications. The...
The goal of the research described here is to present an approach for automating the detection and the extraction of meaning from text using a range of linguistic and ontological techniques, concepts such as the lexico-semantic functions proposed in Meaning-Text Theory by Mel'cuk and the concept of the context. This is motivated, by the fact that, on one hand, these functions enable a better modeling...
Faceted Taxonomies are often used for managing complex knowledge within a domain. They can be used as a reference model for bottom-up new information analysis and integration. This paper proposes a domain information model that quantifies the semantics (indexing concepts) of the faceted taxonomy nodes and uses them as indexer for integrating and managing knowledge such as software requirements. Through...
Many approaches of terminology extraction make use of contextual information to acquire relations between terms. The quality and the quantity of this information influence the accuracy of the terminology extractor. In this paper, we assume that logical structure of documents constitute a rich source of contextual information which can be used to infer semantic relations between terms and thus construct...
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