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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...
Author name disambiguation allows to distinguish between two or more authors sharing the same name. In a previous paper, we have proposed a name disambiguation framework in which for each author name in each article we build a context consisting of classification codes, bibliographic references, co-authors, etc. Then, by pair wise comparison of contexts, we have been grouping contributions likely...
Web services technology is widely used as a solution of information by all users. Now a days, the user rely on web for the information need but the currently available search engines though using sophisticated document indexing algorithms, quite often gives a long list of results, much of which are not always relevant to the user's requirement. Since a user has a specific goal when searching for information,...
The fundamental model for Web navigation has not changed much since the beginning of the development of Hypertext and Web search engines. Current browsing allows users to search by formulating queries, entering known URLs, and by navigation by following links embedded in webpages. Considerable research has focused on navigation mechanisms to improve the effectiveness of the process of finding relevant...
Web pages are conventionally represented by the words found within the contents for classification purpose. However, word-based web page representation suffers several limitations such as synonymy and homonymy. Motivated by the limitations of word-based representation, we explore the potential of representing web pages using information extraction patterns, in addition to words that are identified...
Significant amount of text-based knowledge is created in collaborative Web-based environments in the context of education. In order to efficiently utilize all this information, there is a need to provide the users with an easy access to the information they are interested in. To achieve this, various methods of information retrieval (IR) can be used. We analyze six different algorithms for seeking...
This paper presents an automatic term extraction method based on Markov process. The method aims to extract multi-word domain terms from English corpora. The paper proves that the extracting term process is a Markov chain firstly, and then gives the steps of the Markov-based method. In order to evaluate our method, we use a corpus related to computer science got by Web crawlers, and extract domain...
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