Name
Abstract | ||
|---|---|---|
We describe the key features of a next-generation information search engine that will enable more powerful and rewarding searches to be made than is possible with current search technology. By combining several powerful algorithms in a unique way, future search engines will be able to solve the problems of both synonymy and polysemy. The synonymy problem, where several different words mean the same thing, is relatively straightforward and represents the current state-of-the-art in search engine technology. The polysemy problem, where one word means several different things, is much harder to solve. Our proposal for a new kind of search engine (which we call Deep Search) prototypes a new idea combining logical linking, semantic analysis and clustering to overcome these problems and make possible a more powerful information search capability. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.ijinfomgt.2006.06.005 | Int J. Information Management |
Keywords | Field | DocType |
information retrieval,search engine,internet,information management | Incremental heuristic search,Search engine,Search engine technology,Phrase search,Information retrieval,Semantic search,Computer science,Cluster analysis,Concept search,Polysemy | Journal |
Volume | Issue | ISSN |
27 | 1 | 0268-4012 |
Citations | PageRank | References |
1 | 0.35 | 4 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Simon J. Shepherd | 1 | 60 | 10.53 |