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Semantic Search Arrives at the Web
The current generation of search engines is severely limited in its understanding of the user's intent and the web's content. Find out how semantic search can address these limitations.
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Semantic search has attracted a lot of attention in the past year, largely due to the growth of the semantic web as a whole. The term semantic search itself is popular enough to be considered overused. The term refers to searching large semantic web datasets, which is a typical problem for semantic web search engines such as Swoogle, Sindice, SWSE, Falcon-S, and Watson. The term also refers to methods of searching web documents beyond the syntactic level of matching keywords. This article discusses semantic search in this second sense.
Read the entire article.
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Mike Rohde joined Jupitermedia in March 2008 as the Senior Editor of www.devx.com and www.apifinder.com. He currently publishes articles on the Semantic Web, Project Management, and Architecture.
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SearchMonkey
Searchmonkey bridges the gap between Beagle (simple interface, large search net) and find/grep (powerful searching, small search net).
A fast, real-time search engine for displaying regular expression matches (both file name and content) across multiple directories.
Written in Gtk2, it is highly portable, runs on Linux, and ports are available on FreeBSD, Windows and MacOS.
Provider: Yahoo! Cost: 0
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