Unlike traditional search engines, which crawl the Web gathering Web pages, Semantic Web search engines index RDF data stored on the Web and provide an interface to search through the crawled data. Below is a list of Semantic Web search engines that are currently under development.
There's a lot of talk about new search engines and the promising technologies behind them. One technology that has more or less recently been applied to Web search is natural language processing. NLP allows search engines such as Hakia and Powerset to return results based on the query's meaning rather than relying on keyword distribution as a means of identifying relevant Web documents.
The discussion of semantic search has gradually become popular. Just not long time ago, semantic search was thought to be barely a little bit more than a dream. At present, optimistic researchers have started to believe its possibility in the near future. Very recently at Read/WriteWeb, Dr. Riza C. Berkan, the CEO of Hakia (a company declared to perform "semantic search"), posted an article about semantic search that attracted much attention. Despite of agreeing with the post, here are more thoughts about semantic search.
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