Advanced Data Extraction and Preparation via TIPSTER (ADEPT)

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Abstract

Shrinking budgets, reduction in personnel and increasing performance expectations are facts of today's business environment. The data preparation community has seen these trends stress its ability to collect, manage and disseminate information in an efficient, timely manner. The need to respond to rapidly changing statements of operational interest only exacerbates the problem. It is no longer sufficient to monitor certain pre-defined individuals or interests. A pro-active collection and indexing service must store virtually all types of information to be prepared for any eventuality. The Advanced Data Extraction and Preparation via Tipster (ADEPT) Program is a TIPSTER II demonstration project aimed at alleviating problems currently being faced by data preparation administrators. ADEPT is designed to alleviate problems associated with the collection, archiving, distribution, and management of information obtained from data sources typically called `Open Sources.' Current data preparation systems provide a full range of information management tools that support document input, tagging, archiving, retrieval, and dissemination. These systems handle an increasing volume of data from disparate sources having widely varying formats. Acquisition of new sources or accommodation of format changes in existing sources can have considerable cost and effort impact on daily operations, since existing software and procedures often require modification. ADEPT will address the potentially high costs and delays incurred when adapting current data preparation systems to handle format changes and variations in new or existing sources in an automatic and systematic fashion, improving the responsiveness and offering flexibility to data preparation community.

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APA

Kielty, J., Franco, J., & Sider, I. (1997). Advanced Data Extraction and Preparation via TIPSTER (ADEPT). In Proceedings - IEEE Military Communications Conference MILCOM (Vol. 1, pp. 388–392). IEEE. https://doi.org/10.3115/1119018.1119037

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