OntoMiner: Bootstrapping and populating ontologies from domain-specific Web sites

Hasan Davulcu; Srinivas Vadrevu; Saravanakumar Nagarajan; I. V. Ramakrishnan

doi:10.1109/MIS.2003.1234766

OntoMiner: Bootstrapping and populating ontologies from domain-specific Web sites

Hasan Davulcu
, Srinivas Vadrevu
, Saravanakumar Nagarajan
, I. V. Ramakrishnan

Computer Science

Arizona State University

Research output: Contribution to journal › Review article › peer-review

48 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	24-33
Number of pages	10
Journal	IEEE Intelligent Systems
Volume	18
Issue number	5
DOIs	https://doi.org/10.1109/MIS.2003.1234766
State	Published - Sep 2003

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10.1109/MIS.2003.1234766

Cite this

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abstract = "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.",

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AU - Ramakrishnan, I. V.

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OntoMiner: Bootstrapping and populating ontologies from domain-specific Web sites

Abstract

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