Name
Abstract | ||
|---|---|---|
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 high-precision information extraction techniques to extract facts, con-cepts, 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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1145/1142473.1142591 | SIGMOD Conference |
Keywords | Field | DocType |
avatar semantic search,structured data store,classical keyword search,traditional keyword search engine,prototype search engine,structured store,information retrieval,avatar approach,avatar semantic search engine,keyword query,enron email data,database approach,search engine,information extraction,indexation,semantic search,structured data | Data mining,Search engine,Information retrieval,Semantic search,Computer science,Database search engine,Search-oriented architecture,Information extraction,Search analytics,Concept search,Data model,Database | Conference |
ISBN | Citations | PageRank |
1-59593-434-0 | 47 | 1.94 |
References | Authors | |
10 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eser Kandogan | 1 | 698 | 64.49 |
| Rajasekar Krishnamurthy | 2 | 1214 | 71.86 |
| Sriram Raghavan | 3 | 1096 | 97.25 |
| Shivakumar Vaithyanathan | 4 | 2518 | 234.40 |
| Huaiyu Zhu | 5 | 62 | 3.08 |