Abstract
A high percentage of today’s students use the World Wide Web (WWW) on a regular basis as a source for information, learning materials and references. In order to find reliable and trustworthy material students must sift through the millions of pages available on the web. Search engines can greatly reduce the number of documents a student must navigate through. In order to use search engines and find reliable resources efficiently, students must learn a number of search techniques. As students gain experience, they will gradually build up a model of certain sites and the quality and types of content they contain. Classmates often collaborate with one another in the search for materials recommending books, web-sites and other resources to one another. This paper describes a system designed to assist students of a web-based learning environment, while searching for online materials. This is achieved by either acting autonomously or assisting users to create queries, perform searches and filter the search results.
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Kilbride, J., Mangina, E. (2005). Automated Keyphrase Extraction: Assisting Students in the Search for Online Materials. In: Szczepaniak, P.S., Kacprzyk, J., Niewiadomski, A. (eds) Advances in Web Intelligence. AWIC 2005. Lecture Notes in Computer Science(), vol 3528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11495772_35
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DOI: https://doi.org/10.1007/11495772_35
Publisher Name: Springer, Berlin, Heidelberg
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