Information Retrieval Techniques (CROSBI ID 608484)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Lasić-Lazić, Jadranka ; Seljan, Sanja ; Stančić, Hrvoje
engleski
Information Retrieval Techniques
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 interwoven 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).
knowledge; information mining; information retrieval; syntax analysis; RDF; conceptual graphs; KPS
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Podaci o prilogu
1-13.
2000.
objavljeno
Podaci o matičnoj publikaciji
Zbornik radova CUC 2000- Quest for information
Matijašević, Maja ; Pale, Predrag ; Stipetić, Hrvoje ; Šmit, Maja
Zagreb: Hrvatska akademska i istraživačka mreža CARNet
9536802015
Podaci o skupu
2. CARNetova korisnička konferencija CUC 2000
predavanje
24.09.2000-26.09.2000
Zagreb, Hrvatska