2012 EntityResolutionUsingSearchEngi

• (Khabsa et al., 2012) ⇒ Madian Khabsa, Pucktada Treeratpituk, and C. Lee Giles. (2012). “Entity Resolution Using Search Engine Results.” In: Proceedings of the 21st ACM International Conference on Information and knowledge management. doi:10.1145/2396761.2398641

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%22Entity+resolution+using+search+engine+results%22+2012
• http://dl.acm.org/citation.cfm?id=2396761.2398641&preflayout=flat#citedby

Quotes

Author Keywords

• disambiguation; entity resolution; search engines

Abstract

Given a set of automatically extracted entities E of size n, we would like to cluster all the various names referring to the same canonical entity together. The variations of each entity include acronyms, full name, and informal naming conventions. We propose using search engine results to cluster variations of each entity based on the URLs appearing in those results. We create a cluster C for each top search result returned by querying for the entity e ∈ E assigning e to the cluster C. Our experiments on a manually created dataset shows that our approach achieves higher precision and recall than string matching algorithm and hierarchical clustering based disambiguation methods.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2012 EntityResolutionUsingSearchEngi	C. Lee Giles Madian Khabsa Pucktada Treeratpituk			Entity Resolution Using Search Engine Results				10.1145/2396761.2398641