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

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Semant c E-Bus ness upon the transparent exchange of information and knowledge between collaborating organizations in a dynamic manner across participants in the value chain. Healthcare Healthcare delivery is very complex and knowledge dependent. Information systems employed for healthcare store information in very disparate and heterogeneous clinical information system data repositories. Pollard (2004) states that knowledge management activities in healthcare center on acquiring and storage of information, and lacks the ability to share and transfer knowledge across systems and organizations to support individual user productivity. In addition the data acquired and stored in islands clinical information systems are in multiple formats. Common vocabulary to represent data and information is needed for efficient knowledge management (Desouza, 2002). The focus has been on building independent applications to make these systems talk to each other. The need is for models to integrate the data and knowledge in these disparate systems for effective knowledge sharing and use (Sittig et al., 2002). To serve the needs, relevant patient-centered knowledge must be accessible to the person supplying care in a timely manner in the workflow. Interoperability standards of emerging Semantic Web technologies can enable health information integration, providing the transparency for healthcare-related processes involving all entities within and between hospitals, as well as stakeholders such as pharmacies, insurance providers, healthcare providers, and clinical laboratories. Further research on using Semantic Web technologies is needed to deliver knowledge services proactively for improved decision making. Such innovations can lead to enhanced caregiver effectiveness, work satisfaction, patient satisfaction, and overall care quality in healthcare (Eysenbach, 2003). E-Government E-government refers to the use of Internet technologies for the delivery of government services to citizens and businesses (www.Webster-dictionary.org/definition/ EGovernment). The aim of e-government is to streamline processes and improve interactions with business and industry, empower citizens with the right information, and improve the efficiency of government management. Given that e-government services extend across different organizational boundaries and infrastructures, there is a critical need to manage the knowledge and information resources stored in these disparate systems (Teswanich, Anutariya, & Wuwongse, 2002). Emerging Semantic Web technologies have the ability to enable transparent information and knowledge exchange to enhance e-government processes. Klischewski and Jeenicke (2004) examine the use of ontology-driven e-government applications based on Semantic Web technologies to support knowledge management related 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 to e-government services. Further research to investigate requirements, design and develop systems, and examine success factors for systems development employing Semantic Web technologies for effective knowledge management within e-government services is needed. Organizations.and.Research.Groups..... Fostering. a. Semantic.E-Business.Vision As research in the foundation technologies for the Semantic Web develops, the application of these technologies to enable semantic e-business is of increasing importance to the professional and academic communities. In this section we would like to inform the readers of several organizations that are involved in furthering research related to semantic e-business. Association.for.Information.Systems.(AIS).(www.aisnet.org) A professional organization, the Association for Information Systems (AIS) was founded in 1994 to serve as the premier global organization for academics specializing in information systems. This organization has formed several special interest groups (SIGs) to provide substantial benefits to IS students, academics, and practitioners by helping members exchange ideas and keep up to date on common research interests. The following SIGs contribute significantly to advacing Semantic e-business research: • Special.interest.group.on.Semantic.Web.and.information.systems,.SIG- SEMIS.(www.sigsemis.org): SIG-SEMIS’ goal is to cultivate the Semantic Web vision in IS. The main areas of emphasis in this SIG are: Semantic Web, knowledge management, information systems, e-learning, business intelligence, organizational learning, and emerging technologies. The SIG aims to “create knowledge capable of supporting high-quality knowledge and learning experience concerning the integration” of the above main areas. This integration will provide the participants of the SIG an opportunity to create and diffuse knowledge concerning the issues of Semantic Web in the IS research community. • Special.interest.group.on.agent-based.information.systems,.SIG-ABIS. (www.agentbasedis.org):. SIG-ABIS aims to advance knowledge “in the 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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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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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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Figure 16. The present structure of
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The Human Semant c Web entire healt
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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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Conclusion General Adaptat on Frame
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Ontology Creat on Methodolog es obt
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Figure 9. The state_structure class
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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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