Abstract
The Technology Opportunities Analysis System (TOAS), being developed under a Defense Advanced Research Projects Agency (DARPA) project, enables mining of text files using bibliometrics. TOAS, a software system, extracts useful information from literature abstract files, which have identified fields that repeat in each abstract record of specific databases, such as Engineering Index (ENGI), INSPEC, Business Index, U.S. Patents, and the National Technical Information Service (NTIS) Research Reports. The TOAS applies various technologies, which include natural language processing (NLP), computational linguistics (CL), fuzzy analysis, latent semantic indexing, and principle components analysis (PCA). This software system combines simple operations (i.e., listing, counting, list comparisons and sorting of search term retrieved consolidated records' field results) with complex matrix manipulations, statistical inference and artificial intelligence approaches to reveal patterns and provide insights from large amounts of information, primarily related to technology-oriented management issues.
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