Naslov
Information Retrieval Techniques

Autori
Lasić-Lazić, Jadranka ; Seljan, Sanja ; Stančić, Hrvoje

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Zbornik radova CUC 2000- Quest for information / Matijašević, Maja ; Pale, Predrag ; Stipetić, Hrvoje ; Šmit, Maja - Zagreb : Hrvatska akademska i istraživačka mreža CARNet, 2000, 1-13

ISBN
9536802015

Skup
2. CARNetova korisnička konferencija CUC 2000

Mjesto i datum
Zagreb, Hrvatska, 24.09.2000. - 26.09.2000

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
knowledge; information mining; information retrieval; syntax analysis; RDF; conceptual graphs; KPS

Sažetak
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).

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA