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The Problem on Determining "How to Incorporate Knowledge into Information Mining Algorithms"

There is a massive amount of data on the Internet right now, but essentially little classification information. The main issue is figuring out how to incorporate knowledge into information mining algorithms. The authors examine information retrieval approaches and discuss their advantages and disadvantages. Although most Web documents are text oriented, there are plenty of them that contain multimedia elements, which are not easily accessible through common search methods. Web information is dynamic, semi-structured, and interwound with hyperlinks. Several advanced methods for Web information mining are analysed: 1) syntax analysis, 2) metadata-based searching using RDF, 3) knowledge annotation by use of conceptual graphs (CGs), 4) KPS: Keyword, Pattern, Sample search techniques, and 5) techniques of obtaining descriptions by fuzzification and back-propagation. The problem of choosing proper keywords is