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

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

Cleber Marchetti Duranti

Contact

Fernando Carvalho de Almeida

Contact

Universidade de São Paulo

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

Article Fingerprint

ReserarchID

CSTITO0ZOK

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

AI TAKEAWAY

Connecting with the Eternal Ground

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.

References

35 Cites in Article

Reference Format

G Bower,E Hilgard (1981). Theories of Learning.
Linda Brennan (1997). The Scientific Management of Information Overload.
T Cao (2006). Exploitation du web sémantique pour la veille technologique.
W Chung,H Chen,J Jr (2005). A Visual Framework for Knowledge Discovery on the Web : An Empirical Study of Business Intelligence Exploration.
Wesley Cohen,Daniel Levinthal (1990). Absorptive Capacity: A New Perspective on Learning and Innovation.
M Crossan (1999). An Organizational Learning Framework: From Intuition to Institution.
Fred Davis (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.
N Davis (2011). Information Overload , Reloaded CONTEMPORARY INFORMATION ARCHITECTURE CAN HELP REFRAME HOW WE APPROACH THIS THING CALLED INFORMATION OVERLOAD.
Hondjack Dehainsala,Guy Pierra,Ladjel Bellatreche (2007). OntoDB: An Ontology-Based Database for Data Intensive Applications.
D Denton,P Richardson (2012). Using Intranets to Reduce Information Overload.
M Eppler,J Mengis (2004). The Concept of Information Overload: A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines.
T Gruber (1995). Toward principles for the design of ontologies used for knowledge sharing.
J Gulla,H Borch,J Ingvaldsen (2007). Ontology Learning for Search Applications.
Wonil Hwang,Gavriel Salvendy (2005). Effects of an ontology display with history representation on organizational memory information systems.
Tracy Jenkin,David Skillicorn,Yolande Chan (2008). Novel Information Discovery and Collaborative Filtering to Support Group Creativity.
Catholijn Jonker,M Van Riemsdijk,Bas Vermeulen (2010). Shared Mental Models.
D Kudryavtsev (2006). Mapping ontologies and contexts : from theory to a case study.
C Kuhlthau (1991). Inside the search process: Information seeking from the user's perspective.
N Lankton,C Speier,E Wilson (2012). Internet-based knowledge acquisition: Task complexity and performance.
Tao Li,Min Li (2011). An Investigation and Analysis of Information Overload in Manager's Work.
Yuefeng Li,Xujuan Zhou,Peter Bruza,Yue Xu,Raymond Lau (2012). A two-stage decision model for information filtering.
P Maes (1994). Agents that reduce work and information overload.
Byron Marshall,Daniel Mcdonald,Hsinchun Chen,Wingyan Chung (2004). EBizPort: Collecting and analyzing business intelligence information.
Riichiro Mizoguchi (2003). Tutorial on ontological engineering.
N Noy,D Mcguinness (2001). Ontology Development 101 : A Guide to Creating Your First Ontology.
T.-H Ong (2005). Newsmap: a knowledge map for online news.
M Porter (1985). Competitive Advantage: Creating and Sustaining Superior Performance Anonymous.
Michael Porter (1979). How Competitive Forces Shape Strategy.
M Porter (2008). On Competition, Updated and Expanded Edition.
Mark Silver (1991). Decisional Guidance for Computer-Based Decision Support1.
C Tate (2008). Using Visualization Tools to Mitigate Information Overload on the Internet.
Mike Uschold,Michael Gruninger (1996). Ontologies: principles, methods and applications.
V Vaishnavi,B Kuechler (1978). Design Science Research in Information Systems Overview of Design Science Research.
Viswanath Venkatesh,Hillol Bala (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions.
D Village (2000). Cyberspace 2000 : Dealing with Information Overload.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Cleber Marchetti Duranti. 2016. \u201cSelection of Online News for Competitive Intelligence: Use of Business Domain Ontology for Internet Search Semantic Query Expansion\u201d. Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 15 (GJCST Volume 15 Issue H6): .

More Citation Formats

Select Citation Style:

Download Citation

Download Article

GJCST Volume 15 Issue H6
Pg. 11- 25

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

I.2.11

Submission ReceivedDecember 16, 2014
Peer Review Double Blind
Handling Editor
Accepted January 5, 2015
Published January 15, 2015

Version of record

v1.2

Issue date

January 17, 2016

Language

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 102

Country: Brazil

Subject: Global Journal of Computer Science and Technology - H: Information & Technology

Authors: Cleber Marchetti Duranti, Fernando Carvalho de Almeida (PhD/Dr. count: 0)

View Count (all-time): 225

Total Views (Real + Logic): 7696

Total Downloads (simulated): 1903

Publish Date: 2016 01, Sun

Monthly Totals (Real + Logic):

Month 1: 41 views
Month 2: 33 views
Month 3: 37 views
Month 4: 20 views
Month 5: 54 views
Month 6: 45 views
Month 7: 35 views
Month 8: 33 views
Month 9: 50 views
Month 10: 47 views
Month 11: 27 views
Month 12: 22 views
Month 13: 26 views
Month 14: 28 views
Month 15: 40 views
Month 16: 40 views
Month 17: 28 views
Month 18: 12 views
Month 19: 21 views
Month 20: 18 views
Month 21: 40 views
Month 22: 45 views
Month 23: 40 views
Month 24: 26 views
Month 25: 24 views
Month 26: 39 views
Month 27: 39 views
Month 28: 20 views
Month 29: 40 views
Month 30: 33 views
Month 31: 25 views
Month 32: 35 views
Month 33: 38 views
Month 34: 43 views
Month 35: 17 views
Month 36: 33 views
Month 37: 32 views
Month 38: 30 views
Month 39: 35 views
Month 40: 31 views
Month 41: 28 views
Month 42: 19 views
Month 43: 35 views
Month 44: 43 views
Month 45: 15 views
Month 46: 20 views
Month 47: 33 views
Month 48: 32 views
Month 49: 35 views
Month 50: 27 views
Month 51: 42 views
Month 52: 15 views
Month 53: 25 views
Month 54: 16 views
Month 55: 21 views
Month 56: 28 views
Month 57: 44 views
Month 58: 30 views
Month 59: 13 views
Month 60: 36 views
Month 61: 32 views
Month 62: 19 views
Month 63: 38 views
Month 64: 40 views
Month 65: 21 views
Month 66: 19 views
Month 67: 13 views
Month 68: 23 views
Month 69: 29 views
Month 70: 43 views
Month 71: 19 views
Month 72: 25 views
Month 73: 15 views
Month 74: 46 views
Month 75: 15 views
Month 76: 36 views
Month 77: 22 views
Month 78: 27 views
Month 79: 39 views
Month 80: 20 views
Month 81: 34 views
Month 82: 40 views
Month 83: 39 views
Month 84: 41 views
Month 85: 36 views
Month 86: 35 views
Month 87: 42 views
Month 88: 21 views
Month 89: 11 views
Month 90: 37 views
Month 91: 42 views
Month 92: 50 views
Month 93: 39 views
Month 94: 26 views
Month 95: 38 views
Month 96: 22 views
Month 97: 26 views
Month 98: 43 views
Month 99: 33 views
Month 100: 30 views
Month 101: 17 views
Month 102: 27 views
Month 103: 19 views
Month 104: 17 views
Month 105: 36 views
Month 106: 44 views
Month 107: 38 views
Month 108: 40 views
Month 109: 32 views
Month 110: 18 views
Month 111: 17 views
Month 112: 35 views
Month 113: 34 views
Month 114: 22 views
Month 115: 40 views
Month 116: 15 views
Month 117: 23 views
Month 118: 16 views
Month 119: 35 views
Month 120: 24 views
Month 121: 36 views
Month 122: 36 views
Month 123: 35 views
Month 124: 14 views

Total Views: 7696

Total Downloads: 1903

2026 Trends

Published Article

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]