Abstract
The amount of information available on the Internet is currently growing at an incredible rate. The lack of efficient indexing is, however, still a major barrier to effective information retrieval of documents from the web. This paper proposes the design of a technique for content-based indexing and retrieval of relevant documents from a large collection of documents such as the Internet. The technique aims at improving the quality of retrieval by capturing the semantics of these documents. It performs the conventional keyword-based indexing and introduces a thematic relationship between parts of text using a linguistics theory called Rhetorical Structure Theory (RST). The indexing and retrieval technique described in this paper is currently under development, and initial results obtained from a small number of documents has been found to be more satisfactory, compared to those obtained using keyword-based indexing and retrieval techniques we have been using.
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Haouam, K., Marir, F. (2003). SEMIR: Semantic Indexing and Retrieving Web Document Using Rhetorical Structure Theory. In: Liu, J., Cheung, Ym., Yin, H. (eds) Intelligent Data Engineering and Automated Learning. IDEAL 2003. Lecture Notes in Computer Science, vol 2690. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45080-1_81
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DOI: https://doi.org/10.1007/978-3-540-45080-1_81
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