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Ontology-Driven Automatic Entity Disambiguation in Unstructured Text

Authors: 
Hassell, J.; Aleman-Meza, B.; Arpinar, I.B.
Year: 
2006
Venue: 
Proc. ICSW 2006, LNCS

Precisely identifying entities in web documents is essential for
document indexing, web search and data integration. Entity disambiguation is
the challenge of determining the correct entity out of various candidate entities.
Our novel method utilizes background knowledge in the form of a populated
ontology. Additionally, it does not rely on the existence of any structure in a
document or the appearance of data items that can provide strong evidence,
such as email addresses, for disambiguating person names. Originality of our

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