The Semantic Web, a concept tossed around for years as a Web extension to make it easier to find and group information, is getting a critical boost Tuesday from the World Wide Web Consortium (W3C).

W3C will announce publication of SPARQL (pronounced "sparkle") query technology, a Semantic Web component enabling people to focus on what they want to know rather than on the database technology or data format used to store data, W3C said.

The potential of the Semantic Web cannot be underestimated. By scanning the Web on behalf of users, even Google's ad-based business model could be impacted, an analyst said.

SPARQL queries express high-levels goals and are easier to extend to unanticipated data sources. The technology overcomes limitations of local searches and single formats, according to W3C.

"[SPARQL is] the query language and protocol for the Semantic Web," said Lee Feigenbaum, chair of the RDF (Resource Description Framework) Data Access Working Group at W3C, which is responsible for SPARQL.

Already available in 14 known implementations, SPARQL is designed to be used at the scale of the Web to allow queries over distributed data sources independent of format. It also can be used for mashing up Web 2.0 data.

The Semantic Web, the W3C said, is intended to enable sharing, merging, and reusing of data globally. "The basic idea of the Semantic Web is take the idea of the Web, which is effectively a linked set of documents around the world, and apply it to data," Feigenbaum said.

"One way to think about the Semantic Web is the Web as one big database," said Ian Jacobs, W3C representative. A database, he said, enables querying and manipulation of data. More database-like Web sites are emerging, he said.

Comparing the Semantic Web to search sites such as Google, Jacobs said Google allows for searching through document text, essentially. The Semantic Web, meanwhile, allows for automation and combining of data, he said.

While the Semantic Web concept has been talked about for several years, Feigenbaum believes momentum is building. He cited DBpedia, which extracts structured information form Wikipedia, as an example of a Web site based on the Semantic Web.
With the Semantic Web's ability to hone in on just the information a user needs, companies based on a Web search advertising model such as Google may have to reconsider their plans, said analyst Jonas Lamis, executive director of SciVestor.

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