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.
|Journal||CEUR Workshop Proceedings|
|Publication status||Published - 2006 Dec 1|
|Event||1st International Workshop on Ontology Matching, OM-2006 - Collocated with the 5th International Semantic Web Conference, ISWC-2006 - Athens, GA, United States|
Duration: 2006 Nov 5 → 2006 Nov 5
All Science Journal Classification (ASJC) codes
- Computer Science(all)