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Introduction

Much work is required to understand how the conceptualizations that comprise business processes across the extended enterprise can be captured, represented, shared, and processed by both human and intelligent software agents. This effort will ultimately lead to transparent and secure information and...

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Bibliographic Details
Published in:Communications of the ACM 2005-12, Vol.48 (12), p.38
Main Authors: Singh, Rahul, Iyer, Lakshmi S, Salam, A F
Format: Magazinearticle
Language:English
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Description
Summary:Much work is required to understand how the conceptualizations that comprise business processes across the extended enterprise can be captured, represented, shared, and processed by both human and intelligent software agents. This effort will ultimately lead to transparent and secure information and knowledge flows in service and supply chains to increase economic efficiency in the digital economy. Tim Berners-Lee's Semantic Web vision provides a foundation for semantic architecture supporting such information and knowledge exchange among collaborating ebusiness organizations in the digital economy engaged in co-creating value for the marketplace. In this vision, ontologies provide standard, shared vocabulary that represents the meaning of entities; knowledge representation provides structured collections of information and inference rules for automated reasoning; and intelligent agents interpret and exchange semantically enriched knowledge for users. Developments in semantic technologies make Semantic Web content unambiguously computerinterpretable and amenable to agent interoperability and automated reasoning techniques. Built on Resource Description Framework (RDF) and Description Logics (DL), the Web Ontology Language (OWL) is a W3C standard for semantic knowledge representation.
ISSN:0001-0782
1557-7317
DOI:10.1145/1101779.1101806