When Words Fail, Data Base Themes Prevail Software cuts to the chase, zeroes in on specific topics from voluminous amounts of information. Analysts, archivists and jurists now can locate and extract information from vast data bases without sifting through large amounts of irrelevant text. A new intelligent linguistic software considers a document's grammar and meaning to analyze voluminous amounts of data and distinguish nuggets of needed information from unwanted chaff.
Users can avoid the avalanche of unnecessary text that tends to accompany keyword searches.
This opens the door for intelligence analysts to obtain time-critical information rapidly from multiple data bases or open sources. The result could be a shift in the structure of the intelligence community away from multiple analysts each with small areas of concern to fewer experts who spend less time sifting through unwanted reports and more time assessing larger regions. Managers also could benefit from easier tracking of reports traffic coupled with a greater confidence that they have viewed all of the necessary material. These data base search capabilities extend beyond the intelligence community. Legal experts can pore through countless case histories for precedents that otherwise might be overlooked by conventional scrutiny.