TY - JOUR
T1 - OntoMiner
T2 - Bootstrapping and populating ontologies from domain-specific Web sites
AU - Davulcu, Hasan
AU - Vadrevu, Srinivas
AU - Nagarajan, Saravanakumar
AU - Ramakrishnan, I. V.
PY - 2003/9
Y1 - 2003/9
N2 - The algorithms that automatically annotate HTML documents with semantic lables are studied. OntoMiner offers automated techniques for creating ontologies based on a small collection of relevant Web sites. OntoMiner constructs specialized domain ontologies by organizing and mining a set of user-supplied taxonomy-directed Web sites. OntoMiner attains a precision of 80 percent and recall of more than 90 percent for taxonomies, labels, and values of their instances.
AB - The algorithms that automatically annotate HTML documents with semantic lables are studied. OntoMiner offers automated techniques for creating ontologies based on a small collection of relevant Web sites. OntoMiner constructs specialized domain ontologies by organizing and mining a set of user-supplied taxonomy-directed Web sites. OntoMiner attains a precision of 80 percent and recall of more than 90 percent for taxonomies, labels, and values of their instances.
UR - http://www.scopus.com/inward/record.url?scp=2342451350&partnerID=8YFLogxK
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U2 - 10.1109/MIS.2003.1234766
DO - 10.1109/MIS.2003.1234766
M3 - Review article
AN - SCOPUS:2342451350
SN - 1541-1672
VL - 18
SP - 24
EP - 33
JO - IEEE Intelligent Systems and Their Applications
JF - IEEE Intelligent Systems and Their Applications
IS - 5
ER -