Advanced Methods for Web Information Mining (CROSBI ID 480943)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa
Podaci o odgovornosti
Lasić-Lazić, Jadranka ; Seljan, Sanja ; Stančić, Hrvoje
engleski
Advanced Methods for Web Information Mining
There is currently huge amount of data on the Web and almost no classification information. The key problem is how to embed knowledge into information mining algorithms. The authors analyse techniques of information retrieval and give their strong and weak points. 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 analyzed: 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 also stressed out. The authors suggest the usage of already accepted standards for classification hierarchy, such as Dewey Decimal Classification (DDC).
document retrieval; relevancy; klassification; multimedia documents
Radovi Zavoda za informacijske studije ; knj. 11.
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Podaci o prilogu
85-96.
2002.
objavljeno
Podaci o matičnoj publikaciji
Zbornik radova "Težakovi dani"
Lasić-Lazić, Jadranka ; Tkalec, Slavko
Zagreb: Odsjek za informacijske i komunikacijske znanosti Filozofskog fakulteta Sveučilišta u Zagrebu
953-175-182-X
Podaci o skupu
Težakovi dani
poster
01.01.2002-01.01.2002
.