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Enterprise Applications of Semantic Web: The Sweet Spot of Risk and Compliance

机译:语义网的企业应用程序:风险与合规性的最佳结合点

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摘要

Semantic Web is in the transition from vision and research to reality. In this early state, it is important to study the technical capabilities in the context of real-world applications, and how applications built using the Semantic Web technology meet the real market needs. Beyond push from research, it is the market pull and the ability of the technology to meet real business needs that is a key to ultimate success of any technology. In this paper, we discuss the market of Risk and Compliance which presents unique market opportunity combined with challenging technical requirements. We discuss how the Semantic Web technology with an ontology driven approach is especially well suited to support the demanding requirements of the applications in this market. We also discuss the capabilities of a commercial semantic technology that has origins in academic research, as it is utilized in a significant Risk and Compliance application deployed at large financial institutions. Core capabilities of this technology include the ability to develop and maintain focused but large populated ontologies, automatic semantic metadata extraction supported by disambiguation techniques, ability to process heterogeneous information and provide semantic integration combined with link identification and analysis through rule specification and execution, as well as organization and domain specific scoring and ranking. These semantic capabilities are coupled with enterprise software capabilities which are necessary for success of an emerging technology for meeting the needs of demanding enterprise customers.
机译:语义网正在从视觉和研究到现实的过渡。在这种早期状态下,研究实际应用程序环境中的技术功能以及使用语义Web技术构建的应用程序如何满足实际市场需求非常重要。除了推动研究之外,市场的吸引力和技术满足实际业务需求的能力是任何技术最终成功的关键。在本文中,我们讨论了风险与合规性市场,该市场提供了独特的市场机会以及具有挑战性的技术要求。我们讨论了采用本体驱动方法的语义Web技术如何特别适合于支持该市场中应用程序的苛刻要求。我们还将讨论起源于学术研究的商业语义技术的功能,因为它已被部署在大型金融机构中的重要风险与合规性应用程序中使用。该技术的核心功能包括开发和维护集中但规模较大的本体的能力,由歧义消除技术支持的自动语义元数据提取,处理异构信息并提供语义集成以及通过规则指定和执行来进行链接识别和分析的语义集成的能力,以及作为组织和特定领域的得分和排名。这些语义功能与企业软件功能结合在一起,这对于满足要求苛刻的企业客户需求的新兴技术的成功必不可少。

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    Sheth Amit;

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  • 年度 2014
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