Hershey, Pennsylvania
New York, New YorkBeijing, China
Semantic eBusiness

Semantic eBusiness

Rahul Singh (University of North Carolina at Greensboro, USA), Lakshmi Iyer (University of North Carolina at Greensboro, USA), and A.F. Salam (University of North Carolina at Greensboro, USA)
Copyright: © 2005 |Pages: 17
DOI: 10.4018/jswis.2005010102
OnDemand:
(Individual Articles)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

We define Semantic eBusiness as “an approach to managing knowledge for coordination of eBusiness processes through the systematic application of Semantic Web technologies.” Advances in Semantic Web-based technologies offer the means to integrate heterogeneous systems across organizations in a meaningful way by incorporating ontology—a common, standard, and shareable vocabulary used to represent the meaning of system entities; knowledge representation, with structured collections of information and sets of inference rules that can be used to conduct automated reasoning; and intelligent agents that collect content from diverse sources and exchange semantically enriched information. These primary components of the Semantic Web vision form the foundation technology for semantic eBusiness. The challenge for research in information systems and eBusiness is to provide insight into the design of business models and technical architecture that demonstrate the potential of technical advancements in the computer and engineering sciences to be beneficial to business and consumers. Semantic eBusiness seeks to apply fundamental work done in Semantic Web technologies to support the transparent flow of semantically enriched information and knowledge—including content and know-how—to enable, enhance, and coordinate collaborative eBusiness processes within and across organizational boundaries. Semantic eBusiness processes are characterized by the seamless and transparent flow of semantically enriched information and knowledge. We present a holistic view of semantic eBusiness that integrates emergent and well-grounded Semantic Web technologies to improve the current state of the art in the transparency of eBusiness processes.

Complete Article List

Search this Journal:
Reset
Volume 21: 1 Issue (2025)
Volume 20: 1 Issue (2024)
Volume 19: 1 Issue (2023)
Volume 18: 4 Issues (2022): 2 Released, 2 Forthcoming
Volume 17: 4 Issues (2021)
Volume 16: 4 Issues (2020)
Volume 15: 4 Issues (2019)
Volume 14: 4 Issues (2018)
Volume 13: 4 Issues (2017)
Volume 12: 4 Issues (2016)
Volume 11: 4 Issues (2015)
Volume 10: 4 Issues (2014)
Volume 9: 4 Issues (2013)
Volume 8: 4 Issues (2012)
Volume 7: 4 Issues (2011)
Volume 6: 4 Issues (2010)
Volume 5: 4 Issues (2009)
Volume 4: 4 Issues (2008)
Volume 3: 4 Issues (2007)
Volume 2: 4 Issues (2006)
Volume 1: 4 Issues (2005)
View Complete Journal Contents Listing