Evaluating the Informative Quality of Web Sites by Fuzzy Computing with Words

Herrera-Viedma, Enrique and Peis, Eduardo and Olvera-Lobo, María-Dolores and Herrera, Juan Carlos and Montero, Yusef Hassan Evaluating the Informative Quality of Web Sites by Fuzzy Computing with Words., 2003 . In 1st international Atlantic Web Intelligence Conference on Advances in Web Intelligence, Madrid (Spain), May 2003. [Conference paper]

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English abstract

In this paper we present a method based on fuzzy computing with words to measure the informative quality of Web sites used to publish information stored in XML documents. This method generates linguistic recommendations on the informative quality of Web sites. This method is made up of both an evaluation scheme to analyze the informative quality of such Web sites and a generation method of linguistic recommendations. The evaluation scheme presents both technical criteria of Web site design and criteria related to the content of information of Web sites. It is oriented to the user because the chosen criteria are user friendly, in such a way that visitors to a Web site can assess them by means of linguistic evaluation judgements. The generation method generates linguistic recommendations of Web sites based on those linguistic evaluation judgements using the LOWA and LWA operators. Then, when a user looks for information on the Web we can help him/her with both recommendations on Web sites which store the retrieved documents and also recommendations on other Web sites which store other documents of interest related to his/her information needs. With this proposal information filtering and evaluation possibilities on the Web are increased.

Item type: Conference paper
Keywords: fuzzy computing, linguistic evaluation, information retrieval
Subjects: L. Information technology and library technology
Depositing user: Maria Dolores/ M.D. Olvera Lobo
Date deposited: 23 Jul 2018 13:46
Last modified: 23 Jul 2018 13:46
URI: http://hdl.handle.net/10760/32883

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