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Fusepool-为产品/服务开发和研究融合和汇集信息

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的一个组成部分,支持并支持新的业务交互和交易。然而,中小企业(SME)尚未充分利用互联网的潜力,实现更高效、数字支持和数据驱动的业务见解和行动。例如,产品和服务提供缺乏有效的检测和与采购要求的匹配,导致潜在客户的搜索成本巨大。在研究和开发中,技术情报缺乏对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”开发了自动化工具和智能接口,用于将从各种来源获取的数据有效地匹配到内部业务需求,无论是在研发、产品营销或产品品牌、舆论和民事应急支持等领域。该项目建立在项目合作伙伴和外部供应商开发的成熟技术基础上,例如用于发布和引用产品信息的语义相似性匹配算法或良好关系本体。现有的知识表示系统被转化为可重用的语义Web本体。例如,收集、分析来自多个不同来源的数据,并将其集成到可重用的数据格式RDF(资源描述框架)中,然后作为链接开放数据(LOD)发布。 “Fusepool”项目的核心优势在于,基于对及时、上下文感知和面向需求的信息的快速访问,更高效地检测和匹配数据,以进行实时决策。
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; 数据匹配; 社会科学; 媒体创新
课程来源: 视频讲座网
数据采集: 2022-07-22:zkj
最后编审: 2022-07-22:zkj
阅读次数: 38