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BEING SMART IN INFORMATION PROCESSING

机译:在信息处理中智能

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A very exciting development in current intelligent information processing is the Semantic Web and the innovative e-applications it promises to enable. This promise will not come true, however, if research limits itself to the technological aspects and challenges only. Both supply-demand sides and business-technology sides need to be investigated in an integrated fashion. This implies that we simultaneously have to address technological, social, and business considerations. Therefore, a comprehensive research strategy for the next decade of intelligent information processing must be of an integrated socio-technical nature covering different levels: (1) Definition and standardization of the baseline infrastructures, content libraries and languages that make up the Semantic Web; (2) The associated construction of generic smart web services that dynamically bridge the low-level (for the end user) infrastructures and the high-level user applications; (3) Designing and studying innovative e-services, information systems, and business processes at the domain, customer, and business level; (4) Understanding and influencing the business and market logics and critical success factors that will determine the social adoption of smart web-based innovations.
机译:当前智能信息处理中的一个非常激动人心的开发是语义网络和它承诺启用的创新电子应用。但是,如果研究仅限于技术方面和挑战,则不会实现这一承诺。需要以综合方式调查供需双方和业务技术方面。这意味着我们同时必须解决技术,社会和经营考虑因素。因此,在智能信息处理的未来十年的全面研究策略必须是覆盖不同级别的综合社会技术性质:(1)基线基础设施的定义和标准化,组成语义Web的内容库和语言; (2)通用智能Web服务的相关构建动态桥接低级(最终用户)基础架构和高级用户应用程序; (3)在域名,客户和商业水平的设计和研究创新的电子服务,信息系统和业务流程; (4)了解和影响业务和市场逻辑和关键成功因素,以确定基于智能网络的创新的社会通过。

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