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Fusepool-融合和汇集为产品/服务产品的开发和研究的信息

Fusepool - Fusing and pooling information for product/service development and research
课程网址: http://videolectures.net/dataforum2012_kaschesky_fusepool/  
主讲教师: Michael Kaschesky
开课单位: 伯尔尼应用科学大学
开课时间: 2012-07-16
课程语种: 英语
中文简介:
互联网正在成为价值链支持以及实现新业务交互和交易的不可或缺的组成部分。但是,中小型企业(SME)尚未利用互联网的全部潜力来获得更有效,数字化支持和数据驱动的业务洞察力和行动。例如,产品和服务产品缺乏有效的检测和与采购要求的匹配,从而导致潜在客户的显着搜索成本。在研究和开发方面,技术智能缺乏技术机会和威胁的易检测性以及与自身能力和解决方案的有效匹配。国际联合项目“Fusepool”开发自动化工具和智能接口,以有效地将从各种来源收集的数据与内部业务需求相匹配无论是研发,产品营销还是产品品牌,舆论和民事紧急支持等领域。该项目建立在项目合作伙伴和外部提供商开发的成熟技术之上,如语义相似性匹配算法或良好关系本体,用于产品信息的发布和引用。现有的知识表示系统被翻译成可重用的语义Web本体。例如,来自多个不同来源的数据以可重复使用的数据格式RDF(资源描述框架)进行收集,分析和集成,并作为链接开放数据(LOD)发布。项目“Fusepool”的核心优势涉及更高效和有效基于对及时,情境感知和需求导向信息的快速访问,实时决策的数据检测和匹配。
课程简介: The Internet is becoming an integral element of the value chain supporting as well as enabling new business interactions and transactions. However, small and medium enterprises (SMEs) are not yet leveraging the full potential of the Internet for more efficient, digitally supported and data-driven business insights and actions. For example, product and service offerings lack efficient detection and matching with sourcing requirements resulting in significant search costs for potential customers. In research and development, technology intelligence lacks easy detectability of technological opportunities and threats combined with efficient matching to own competences and solutions. The international joint project "Fusepool" develops automated tools and intelligent interfaces for efficiently matching data harvested from various sources to internal business needs, be they in research and development, product marketing or areas such as product branding, public opinion, and civil emergency support. The project builds on proven technologies developed by the project partners as well as external providers, such as Semantic Similarity Matching algorithms or the Good Relations Ontology for the publication and quotation of product information. Existing systems of knowledge representation are translated into reusable Semantic Web ontologies. For example, data from multiple, diverse sources are gathered, analyzed, and integrated in a reusable data format RDF (Resource Description Framework) and published as Linked Open Data (LOD). The core benefit of project "Fusepool" concerns more efficient and effective detection and matching of data for real-time decision making based on rapid access to timely, context-aware, and needs-oriented information.
关 键 词: 互联网; 技术智能; 服务产品
课程来源: 视频讲座网
最后编审: 2019-03-16:lxf
阅读次数: 42