Selection of Online News for Competitive Intelligence: Use of Business Domain Ontology for Internet Search Semantic Query Expansion

Authors

  • Cleber Marchetti Duranti

  • Fernando Carvalho de Almeida

Keywords:

information retrieval, ontology, search engines, competitive intelligence, design research

Abstract

The Internet provides ever increasing volumes of news and information about the environment in which companies operate. This can lead to information overload, in which the volume of information available overwhelms the processing power of the user. Methods and tools that help separate potentially useful information from irrelevant information need to be developed. This research applied design research to investigate the development of a tool to help users refine internet searches on competitive intelligence. It used modeling of the target business area in the form of anontology to aid the formulation of search terms through interactive semantic expansion of the keywords entered by users.

How to Cite

Cleber Marchetti Duranti, & Fernando Carvalho de Almeida. (2015). Selection of Online News for Competitive Intelligence: Use of Business Domain Ontology for Internet Search Semantic Query Expansion. Global Journal of Computer Science and Technology, 15(H6), 11–25. Retrieved from https://computerresearch.org/index.php/computer/article/view/1336

Selection of Online News for Competitive Intelligence: Use of Business Domain Ontology for Internet Search Semantic Query Expansion

Published

2015-05-15