Titlebook: Knowledge-Based Information Retrieval and Filtering from the Web; Witold Abramowicz Book 2003 Springer Science+Business Media New York 200

兴奋过度

0893-3405 rs, addressing the matter of information retrieval, filtering and management of the information on the Internet. The research presented deals with the need to find proper solutions for the description of the information found on the Internet, the description of the information consumers need, the al

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食料

larder

The Springer International Series in Engineering and Computer Sciencehttp://image.papertrans.cn/k/image/544198.jpg

烧烤

Towards an Ontological Representation of Knowledge on the WebThis chapter gives a background on recent developments in Web ontologies, which provide basic means to represent semantic knowledge about the Web. We start with Resource Description Framework to show basic syntax, and further develop many examples in OWL Web Ontology Language to show the expressiveness of this language.

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Clustering of Documents on the Basis of Text Fuzzy SimilarityThis chapter focuses on application of a fuzzy similarity measure of textual records to clustering of textual documents. The method, rooted in the theory of fuzzy sets, is based on concepts used in comparison of natural language words and sentences. In particular, the fuzzy relation is the kernel of the presented idea.

知识

STRIA

Eeg332

https://doi.org/10.1007/978-1-4757-3739-4DOM; E-Business; E-Commerce; Internet; WWW; algorithms; classification; data mining; decision support system

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Model of User Profiles and Personalization for Web-Based Information Retrieval System satisfies postulates for intelligent information retrieval system formulated in Section 3.1. In particular, owing to this model a user should be satisfied with search results without necessity of understanding search methods.