Abstract
As it is known the Web is changing the information access processes. The Web is one of the most important information media. Furthermore, the Web is influencing in the development of other information media, as for example, newspapers, journals, books, libraries, etc. In this chapter we analyze its impact in the development of the University Digital Libraries (UDL). As in the Web, the growing of information is the main problem of the academic digital libraries, and similar tools could be applied in university digital libraries to facilitate the information access to the students and teachers. Filtering systems or recommender systems are tools whose objective is to evaluate and filter the great amount of information available on the Web to assist the users in their information access processes. Therefore, we present a model of fuzzy linguistic recommender system to help students and researchers to find research resources which could improve the services that render the UDL to their users.
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Herrera-Viedma, E., Porcel, C., López-Herrera, A.G., Alonso, S. (2008). A Fuzzy Linguistic Recommender System to Advice Research Resources in University Digital Libraries. In: Bustince, H., Herrera, F., Montero, J. (eds) Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Studies in Fuzziness and Soft Computing, vol 220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73723-0_29
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DOI: https://doi.org/10.1007/978-3-540-73723-0_29
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