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Spanish Scientists Develop the Intelligent Financial Search Engine


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Researchers from Carlos III University of Madrid (UCM3), the University of Murcia, and the Business Institute have jointly created SONAR, a new search engine that examines financial news using semantic technology. The researchers say the program offers a more limited Web search based on specific terms. SONAR also can use logic to link news, prices, and share valuations. The search engine gathers information from Internet and intranet sources, compiles the data in an archive according to category, and then retrieves the information for individual searches.

SONAR uses both an interference engine and a natural language processor, which prevents the search results from being too broad and disorganized. The researchers say that because SONAR analyzes a wealth of financial data in a short amount of time, it will prove a useful tool for industry professionals.

UC3M's Juan Miguel Gomez Berbis says that SONAR "will be especially useful to the finance departments of banks and saving banks or to add to an existing search engine added value over its competitors." The researchers are adding more features to the program and have been asked to develop other industry-specific search engines, such as ones on transportation or biotechnology.

From Carlos III University of Madrid (Spain)
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Abstracts Copyright © 2009 Information Inc., Bethesda, Maryland, USA


 

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