An ontology mapping algorithm between heterogeneous product classification taxonomies

Wooju Kim, Sangun Park, Siri Bang, Sunghwan Lee

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


Research on ontology merging and mapping is one of the most important issues in the Semantic Web because ontologies are developed and used by various sites and organizations respectively. Electronic commerce is the area that require ontology mapping on product comparison over different product classification taxonomies of various shopping malls. But, a strict mapping strategy may lead a customer's configuration to search failure. Therefore we suggest a mapping algorithm for product matching that can provide more products by increasing sensitivity with reasonable decrease of specificity. We performed a comparative evaluation between our algorithm and PROMPT with 6 experimental sets.

Original languageEnglish
JournalCEUR Workshop Proceedings
Publication statusPublished - 2006
Event1st International Workshop on Ontology Matching, OM-2006 - Collocated with the 5th International Semantic Web Conference, ISWC-2006 - Athens, GA, United States
Duration: 2006 Nov 52006 Nov 5

All Science Journal Classification (ASJC) codes

  • General Computer Science


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