Semantic Web-Based Information Systems: State-of-the-Art ...

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Semant c E-Bus ness Figure 3. Semantic e-business utilizes Semantic Web technologies and existing information technology infrastructure for transparent information and knowledge flows in a secure and trusted environment Trusted and Secure Semant c eBus ness Env ronment � Semant c Bus ness Process Descr pt ons � Semant c Bus ness Rules � Bus ness Process Reason ng � Semant c Workflow Descr pt ons � Product Ontolog es � Semant c Serv ce Descr pt ons � Web Serv ces Arch tecture � Network Commun cat ons � Computat onal Processes � Hardware Resources Semant c eBus ness Layer Semant c Web Technology Layer Informat on Technology Infrastructure Layer The application of Semantic Web technologies to enable semantic e-business provides the organizations the means to design collaborative and integrative, inter- and intra-organizational business processes and systems founded upon the seamless exchange of knowledge. Semantic e-business architectures can enable transparent information and knowledge exchange, and intelligent decision support to enhance online e-business processes. It can also help organizations fill the chasm that exists in the adaptation of emerging technologies to enable and enhance business processes through the use of distributed heterogeneous knowledge resources. The concept of semantic e-business is potentially applicable to industries with an online presence. Candidates for applications in business include supply chain management and emarketplaces. In addition, multiple not-for-profit and government processes are also potential application areas, including the healthcare industry for improving the management of medical records and e-government applications for improving services offered online to citizens. The following scenarios present some areas where we believe semantic e-business can enhance information and knowledge exchange and improve the efficacy of e-business processes. Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited.
S ngh, Iyer, & Salam Potential.Semantic.E-Business.Applications Supply Chain Management Supply chain management (SCM) is a common strategy employed by businesses to improve organizational processes to optimize the transfer of goods, information, and services between buyers and suppliers in the value chain (Poirier & Bauer, 2000). A fundamental ongoing endeavor of SCM is to foster information transparency (availability of information in an unambiguously interpretable format) that allows organizations to coordinate supply chain interactions efficiently in dynamic market conditions. A standard ontology for all trading partners is necessary for seamless transformation of information and knowledge essential for supply chain collaboration (Singh et al., forthcoming). Increasing complexity in supply chains make the timely sharing of accurate information among collaborating partners a critical element in the efficiency of workflows and e-business processes. Information and knowledge exchange facilitated through semantic Web technologies enable the creation of global information partnerships across the entire supply chain. Organizations embracing such paradigms can sustain their competitive advantages by having an effective and efficient e-supply chain and realize benefits such as reduced cycle times, lower product costs, reduced inventory, better quality decision making, and improved customer service. E-Marketplaces Infomediaries perform a critical role in bringing together buyers and suppliers in the e-marketplace and facilitating transactions between them. A detailed description of the value-added activities provided by infomediaries in e-marketplaces can be found in Grover and Teng (2001). The infomediary adds value through its role as an enterprise system hub responsible for the critical integration of the information flows across participant firms (Davenport & Brooks, 2004). Infomediaries become vital repositories of knowledge about buyers, suppliers, and the nature of exchanges among them including the past experiences of other buyers’ reliability and trustworthiness of the supplier. They provide independent and observed post-transaction assessment of the commitments of the individual buyers and sellers to facilitate the development of coordination structures, leading to collaborative relationships in e-supply chains. The integration of intelligence and knowledge within and across e-marketplaces can enhance the coordination of activities among collaborating firms across e-marketplaces (Singh et al., 2003). Collaborations create information partnerships between organizations to enable the delivery of products and services to the customer in an efficient manner. Such information partnerships are founded Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited.
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Semantic Web-Based Information Syst
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Semantic Web-Based Information Syst
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Chapter.VIII Querying.the.Web.Recon
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the semantics in the Semantic Web.
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the conventional Web, and the emerg
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Chapter.I Semant cs for the Semant
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Semant cs for the Semant c Web and
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Semant cs for the Semant c Web •
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Semant cs for the Semant c Web simi
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Semant cs for the Semant c Web in t
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Entity Identification/Disambiguatio
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Question Answering Systems Semant c
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Semant cs for the Semant c Web The
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The Human Semant c Web tion between
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The Human Semant c Web Figure 2. Th
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• Databases with entry-portals
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The Human Semant c Web • Knowledg
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Conceptual.Modeling The Human Seman
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The Human Semant c Web in relations
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The Human Semant c Web along the di
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Conceptual.Calibration The Human Se
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The Human Semant c Web In the Knowl
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The Human Semant c Web ing Environm
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The Human Semant c Web Takeuchi, H.
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26 Between February 2001 and Februa
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Chapter.III General Adaptat on Fram
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General Adaptat on Framework semant
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Conclusion General Adaptat on Frame
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Ontology Creat on Methodolog es obt
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Chapter.XII Web Serv ce Messages Ar
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Web Serv ce Messages standards. For
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Figure 12. Target instance 8351-9
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Web Serv ce Messages 0 Brujin, J.,
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About.the.Authors About the Authors
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About the Authors 0 Veli. Bicer. is
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About the Authors 0 in refereed jou
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About the Authors 0 partment (1992)
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About the Authors Anton.Naumenko.is
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About the Authors Centre and head o
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consumer-centric business model 30
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semantic e-business 214 semantic in
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