Abstract | ||
---|---|---|
This paper introduces and evaluates a new paradigm, called Knowledge Agents, that incorporates agent technology into the process
of domainspecific Web search. An agent is situated between the user and a search engine. It specializes in a specific domain
by extracting characteristic information from search results. Domains are thus user-defined and can be of any granularity
and specialty. This information is saved in a knowledge base and used in future searches. Queries are refined by the agent
based on its domain-specific knowledge and the refined queries are sent to general purpose search engines. The search results
are ranked based on the agent’s domain specific knowledge, thus filtering out pages which match the query but are irrelevant
to the domain. A topological search of the Web for additional relevant sites is conducted from a domain-specific perspective.
The combination of a broad search of the entire Web with domain-specific textual and topological scoring of results, enables
the knowledge agent to find the most relevant documents for a given query within a domain of interest. The knowledge acquired
by the agent is continuously updated and persistently stored thus users can benefit from search results of others in common
domains.
|
Year | DOI | Venue |
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2000 | 10.1007/978-3-540-45012-2_3 | CIA |
Keywords | Field | DocType |
knowledge agents,knowledge base,search engine | Data mining,Web search query,World Wide Web,Search engine,Information retrieval,Semantic search,Phrase search,Computer science,Web query classification,Knowledge-based systems,Knowledge base,Knowledge acquisition | Conference |
Volume | ISSN | ISBN |
1860 | 0302-9743 | 3-540-67703-8 |
Citations | PageRank | References |
18 | 2.61 | 7 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yariv Aridor | 1 | 547 | 66.78 |
David Carmel | 2 | 2530 | 156.30 |
Ronny Lempel | 3 | 1273 | 112.55 |
Aya Soffer | 4 | 1250 | 169.37 |
Yoëlle S. Maarek | 5 | 361 | 69.41 |