Semantic agent of informational extraction on big data context

• Grant number: 13/16369-3
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: September 01, 2013
• End date: August 31, 2014
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Elvis Fusco
• Grantee: Caio Saraiva Coneglian
• Host Institution: Centro Universitário Eurípedes Soares da Rocha. Fundação de Ensino Eurípedes Soares Rocha (FEESR). Marília , SP, Brazil

Abstract

The large increase in the production and dissemination of data on the Internet can offer information of high earned value to organizations. This information may be on different bases and heterogeneous and supplies that were not considered relevant as social media, blogs, and more. If organizations get used these sources can make a new management vision known as Competitive Intelligence. In the context of an architecture of Information Retrieval, this research aims implementing an semantic extraction agent in the context of the Web allowing the location, storage, processing and retrieval of information like Big Data in various informational sources on the Internet serving as a base for the implementation of information environments decision support.