Abstract | ||
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We show how query-specific content-based computation can be used for interactive search when a pre-computed index is not available. Rather than text or numeric data, we focus on complex data such as digital photographs and medical images. We describe a system that can perform such interactive searches on stored data as well as live Web data. The system is able to narrow the focus of a non-indexed search by using structured data sources such as relational databases. It can also leverage domain-specific software tools in search computations. We report on the design and implementation of this system, and its use in the health sciences. |
Year | Venue | Keywords |
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2010 | INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING | Non-indexed Search, Complex Data Query, Interactive Image Search, OpenDiamond Project |
Field | DocType | Volume |
Relational database,Information retrieval,Computer science,Complex data type,Software,Data model,Interactive search,Computation | Journal | 1 |
Issue | ISSN | Citations |
2 | 2229-4678 | 3 |
PageRank | References | Authors |
0.53 | 18 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
M. Satyanarayanan | 1 | 8774 | 1707.65 |
Rahul Sukthankar | 2 | 6137 | 365.45 |
Adam Goode | 3 | 115 | 6.12 |
Nilton Bila | 4 | 150 | 11.16 |
Lily B. Mummert | 5 | 307 | 63.38 |
Jan Harkes | 6 | 206 | 24.04 |
Adam Wolbach | 7 | 108 | 12.70 |
Larry Huston | 8 | 314 | 50.38 |
Eyal de Lara | 9 | 1864 | 161.54 |