Title :
On the Utility of WordNet for Ontology Alignment: Is it Really Worth it?
Author :
Thayasivam, Uthayasanker ; Doshi, Prashant
Author_Institution :
Dept. of Comput. Sci., Univ. of Georgia, Athens, GA, USA
Abstract :
Many ontology alignment algorithms augment syntactic matching with the use of WordNet (WN) in order to improve their performance. The advantage of using WN in alignment seems apparent. However, we strike a more cautionary note. We analyze the utility of WN in the context of the reduction in precision and increase in execution time that its use entails. For this analysis, we particularly focus on real-world ontologies. We report distinct trends in the performance of WN-based alignment in comparison with alignment that uses syntactic matching only. We analyze the trends and their implications, and provide useful insights on the types of ontology pair for which WN-based alignment may potentially be worthwhile and those types where it may not be.
Keywords :
ontologies (artificial intelligence); pattern matching; WordNet; ontology alignment; syntactic matching; Benchmark testing; Context; Databases; Ontologies; Radio access networks; Semantics; Syntactics; WordNet; ontology alignment; performance;
Conference_Titel :
Semantic Computing (ICSC), 2011 Fifth IEEE International Conference on
Conference_Location :
Palo Alto, CA
Print_ISBN :
978-1-4577-1648-5
Electronic_ISBN :
978-0-7695-4492-2
DOI :
10.1109/ICSC.2011.28