Selection of Online News for Competitive Intelligence: Use of Business Domain Ontology for Internet Search Semantic Query Expansion
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.
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
Published
2015-05-15
Issue
Section
License
Copyright (c) 2015 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.