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Application of Natural Language Processing and Evidential Analysis to Web-Based Intelligence Information Acquisition

Traditional search engines are used by research analysts to filter out relevant information before this information can be included in an intranet knowledge base. We show that traditional data harvesting processes are ineffective as so much irrelevant information is captured with useful information being either ignored or more importantly not identified. This paper describes a mathematically-based framework using evidential reasoning that vastly improves retrieval of relevant, high quality intelligence from the Internet thus improving an organization’s market and/or operational effectiveness. The approach has been successfully implemented for extensive trials by two UK security agencies with very encouraging results.