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Semantic Agent of Informational Extraction on Big Data Ontological Context

Authors:
Caio Coneglian
Elvis Fusco

Keywords: Big Data; semantic web; semantic scrapper; ontology.

Abstract:
The large increase in the production and dissemination of data on the Internet can offer information of high value-added to organizations. This information may be from heterogeneous databases that may not be considered relevant by most systems, e.g., social media data, blogs, and more. If organizations would use such sources, they could build a new management vision known as Competitive Intelligence. In the context of an architecture of Information Retrieval, this research that aims on implementing a semantic extraction agent for the Web environment, allowing information finding, storage, processing and retrieval, such as those from the Big Data context produced by several informational sources on the Internet, serving as a basis for the implementation of information environments for decision support. Using this method, it will be possible to verify that the agent and ontology proposal addresses this part and can play the role of a semantic level of the architecture.

Pages: 34 to 37

Copyright: Copyright (c) IARIA, 2014

Publication date: March 23, 2014

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-329-2

Location: Barcelona, Spain

Dates: from March 23, 2014 to March 27, 2014