June 22, 2007 Keyword-based search engines are a huge compromise; think for a moment about the tricks you need to use to get a good specific result from Google. The next generation of search is contextually and lingustically smarter, thinking more like a human and able to chase the meaning of a search term through a document instead of just looking for a handful of words. Xerox's new enterprise FactSpotter engine uses smart semantic and concept parsing to deliver quality search results from huge text databases.
Developed in Grenoble, France, by researchers at the Xerox Research Centre Europe, the new text mining software combines a powerful linguistic engine with an interface that rewards natural language queries. Unlike traditional enterprise search tools, FactSpotter looks not only for the keywords contained in a query but also the context of the document those words contain. For example, when searching for specific information about "when did Angelina Jolie visit France", the engine will recognize and find the name string in a document, then contextualize to produce results starting with pronouns - for example "she visited France" in reference to Jolie.
The "smart" search engine can comb through almost any document regardless of the language, location, format or type; take advantage of the way humans think, speak and ask questions; and discriminate the results highlighting just a handful of relevant answers instead of returning thousands of unrelated responses.
"Our advanced search engine goes beyond today's typical 'keyword' search or current data-mining programs, which typically end up searching only 40 percent of all the documents that are relevant because the keywords are too limiting," said Frédérique Segond, manager of parsing and semantics research at XRCE. "Xerox's tool is more accurate because it delves into documents, extracting the concepts and the relationships among them. By 'understanding' the context, it returns the right information to the searcher, and it even highlights the exact location of the answer within the document."
FactSpotter is part of Xerox's ongoing intelligent document technology research that complements its growing portfolio of services-related innovations. The technology helps customers better manage data and document-intensive work processes in industries like banking, finance and legal. Xerox plans to launch FactSpotter next year as part of its Xerox Litigation Services offerings, which include electronic discovery services that primarily support legal and regulatory compliance.
Next Generation of Searching The new software goes beyond traditional search engines in several ways:
- FactSpotter's novel interface means users can express their queries naturally instead of forcing them to adapt their questions to the logic of computers. Traditional systems, on the other hand, split a query into isolated words and return only documents that contain exactly those words.
- Unlike traditional search engines that return the entire document forcing the user to find the relevant information manually, FactSpotter returns the specific portion of a search document that is relevant to the query.
- FactSpotter takes into account the context of the entire document instead of just a cluster of nearby words. It introduces the concept of "relation," searching within and across sentences and paragraphs.
- FactSpotter recognizes abstract concepts, like "people" or "building," and will retrieve all the words that fit within that category.
By analyzing the meaning of both the query and the searched document, FactSpotter can dramatically simplify and speed up time-consuming activities. For example, during the electronic discovery phase of a legal trial, FactSpotter will allow specific facts to be found quickly and easily among thousands (and often millions) of different documents. By delivering complete and relevant answers quickly and easily, FactSpotter could revolutionize the operations of data-intensive businesses such as electronic legal discovery, risk management, pharmaceutical research, competitive and market intelligence, security intelligence and fraud detection.
With smart text mining technologies like FactSpotter already in operation in enterprise document management, security and surveillance, academic applications and even spam filtering, it will be interesting to see how the technology transfers to the Web. How long until Google gains linguistic awareness? An interesting thought.
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