LAFAYETTE, La., Aug. 22 /PRNewswire/ -- While the technologies to access information scattered in hundreds of thousands of web sites around the world have advanced, such technologies effectively access only those parts of information that are stored and managed in the form of web pages. There is a much larger -- estimated by some to be several hundred times larger in size -- portion of the Web that is largely untapped by current web site crawlers. Advanced information integration technologies, such as metasearch engines, are the answer. A metasearch engine is an information retrieval system that sends user requests to multiple search engines and/or databases. It then returns the results, filtered according to relevance, allowing users to access the most pertinent information from multiple search engines simultaneously. A characteristic inherent to meta-search technology is that it requires significantly less expensive IT infrastructure. Clement Yu, the Company's CEO, notes that metasearch engines have the advantage of needing only one or two personal computers to access other search engines. AllInOneNews (accessible at http://www.allinonenews.com) connects to over 1,800 news sources in more than 200 countries/regions. Its technology and reach allow AllInOneNews to present the user with a higher number of relevant hits than a single search engine could generate. AllInOneNews performs "semantic search," meaning it looks not only for keywords, but also for subject matter closely related to the original query. Using this logic, a search for 'skin cancer' would also return results on melanoma. The ability to connect with many search engines simultaneously enables AllInOneNews to provide the timeliest information possible. This feature can be especially significant to stock traders and government agencies, which need to act quickly on up-to-the-minute reports. AllInOneNews grew out of a research project sponsored by the National Science Foundation. The principal investigators were Clement Yu, from the University of Illinois at Chicago, and Weiyi Meng, from the State University of New York at Binghamton. The project also received technology assistance from investigators Vijay Raghavan and Zonghuan Wu, from the University of Louisiana at Lafayette. Later, the National Science Foundation's Small Business Innovation Research program provided funds for Phase-One and Two of the project. Webscalers, founded in Louisiana in 2002, is devoted to the development of optimized search technology to address various business needs.