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SIGMOD
2006
ACM

Avatar semantic search: a database approach to information retrieval

10 years 7 months ago
Avatar semantic search: a database approach to information retrieval
We present Avatar Semantic Search, a prototype search engine that exploits annotations in the context of classical keyword search. The process of annotations is accomplished offline by using highprecision information extraction techniques to extract facts, concepts, and relationships from text. These facts and concepts are represented and indexed in a structured data store. At runtime, keyword queries are interpreted in the context of these extracted facts and converted into one or more precise queries over the structured store. In this demonstration we describe the overall architecture of the Avatar Semantic Search engine. We also demonstrate the superiority of the AVATAR approach over traditional keyword search engines using Enron email data set and a blog corpus.
Eser Kandogan, Rajasekar Krishnamurthy, Sriram Rag
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2006
Where SIGMOD
Authors Eser Kandogan, Rajasekar Krishnamurthy, Sriram Raghavan, Shivakumar Vaithyanathan, Huaiyu Zhu
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