In business domains, the
world evolves quickly, and processing the torrents of information describing that
evolution is a daunting task. Much of the emerging information about the business
world is published online daily in government reports, financial reports such as those
in the electronic data gathering, analysis, and retrieval (EDGAR) system database,
and Web articles by such sources as the Wall Street Journal (WSJ), Reuters, and the
Associated Press. Such sources contain a great deal of information, but in forms
that computers cannot use directly. They therefore need to be processed by people
before the facts can be put into a database. It is desirable, but impossible for a person,
and expensive for a company, to retrieve, read, and synthesize all of the day??™s
Web news from a given domain and enter the resulting knowledge into a knowledge
base to support the company??™s decision making for that day. While the protocols
and information retrieval technologies of the Web make these articles reachable by
computer, they are written for human consumption and still lack the semantic tags
that would allow computers to process their content easily.
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