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The power of declarative languages: from information extraction to machine learning

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2011

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Gesellschaft für Informatik e.V.

Zusammenfassung

As advanced analytics has become more mainstream in enterprises, usability and system-managed performance optimizations are critical for its wide adoption. As a result, there is an active interest in the design of declarative languages in several analytics areas. In this talk I will describe the efforts in IBM around three areas namely Information Extraction, Entity Resolution and Machine Learning. I will detail these efforts, at some length, and also explain the motivation behind some of the design choices made while implementing declarative solutions for the individual areas. I will end with results that demonstrate multiple advantages of the declarative approaches as compared with existing solutions.

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Vaithyanathan, Shivakumar (2011): The power of declarative languages: from information extraction to machine learning. Datenbanksysteme für Business, Technologie und Web (BTW). Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-274-1. pp. 23-23. Regular Research Papers. Kaiserslautern. 02.-04.03.2011

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