EnAKTing the Unbounded Data Web: Challenges in Web Science

构建无限数据网络：网络科学的挑战

• 批准号: EP/G008493/1
• 负责人: Nigel Shadbolt
• 金额: $ 247.81万
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2009
• 资助国家: 英国
• 起止时间: 2009 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FG008493%2F1
• 关键词: EnAKTing; Unbounded; Data; Web; Challenges

The EPSRC funded Advanced Knowledge Technologies Interdisciplinary Research Collaboration (AKT IRC) has been a significant success in terms of papers published, grants awarded, students trained, and international impact. The Review Panel rated the project as outstanding scoring 34 out of a maximum possible 35 on the seven review criteria used to assess the results of projects by the EPSRC. The purpose of this proposal is to take some of the most important results from AKT and organise a next stage of research. This in turn will serve as a precursor to a longer-term ambition; the establishment of Web Science as a discipline. This initiative we are undertaking with the Web's inventor Professor Sir Tim Berners-Lee and MIT. The development of new Semantic Web technologies (many developed and researched in the AKT IRC) points to a new generation of Web capability that can explore and query, assemble and integrate content in a context-aware, focused fashion. The basic idea is that we move from a document centric view of the Web to one in which data and information are the principle objects of interest. This data may relate to people, scientific structures, financial transactions or any domain that can be represented on the Web. With the emergence of a Web of data it is essential to address three key research problems; (1) how to build ontologies quickly that are capable of exploiting the potential of large-scale user participation, (2) how we query an unbounded web of linked data, (3) how to visualise, explore, browse and navigate this mass of data.The proposal is to undertake fundamental research in the areas 1-3 identified above. This fundamental research is supported via two application domains; one in the area of public sector information, a second in the domain of transport. The application domains will provide the context in which to gather realistic requirements, understand the social aspects that determine the success or otherwise of the systems constructed, test the adequacy of solutions, and showcase the promise of the results obtained in pursuing the research objectives outlined.

EPSRC资助的高级知识技术跨学科研究合作（AKT IRC）在发表，授予的赠款，受过培训和国际影响力的论文方面取得了重大成功。评论小组将该项目评为杰出得分34，其中最高35分的35分在用于评估EPSRC项目结果的七个审查标准上。该提案的目的是从AKT中获取一些最重要的结果，并组织下一阶段的研究阶段。反过来，这将成为长期野心的先驱。将网络科学作为一门学科建立。我们正在与网络发明家蒂姆·伯纳斯·李（Tim Berners-Lee）和麻省理工学院（MIT）一起进行的这项倡议。新的语义Web技术的开发（许多在AKT IRC中开发和研究）指出了新一代的Web功能，可以探索和查询，集成和集成内容，以背景意识，集中的方式进行。基本思想是，我们从网络的以文档为中心的视图转变为数据和信息是感兴趣的原理对象。这些数据可能与人物，科学结构，金融交易或可以在网络上表示的任何领域有关。随着数据网的出现，必须解决三个关键的研究问题。 （1）如何迅速建立能够利用大规模用户参与潜力的本体论，（2）我们如何查询无限的链接数据网络，（3）如何在上述1-3所述的1-3区域进行基础研究，如何可视化，探索，浏览，浏览，浏览和导航这些数据。这项基本研究得到了两个应用领域的支持。一个在公共部门信息领域，第二位是运输领域。应用领域将提供收集现实要求的上下文，了解确定构建系统成功或其他方式的社会方面，测试解决方案的充分性，并展示在追求概述的研究目标中获得的结果的希望。

项目成果

Trust in social machines: the challenges

对社交机器的信任：挑战

• 作者: Kieron O'Hara (Author)

Data quality, government data and the open data infosphere

数据质量、政府数据和开放数据信息圈

• 作者: Kieron O'Hara (Author)

Combining link and content-based information in a Bayesian inference model for entity search

• DOI: 10.1145/2379307.2379310
• 发表时间: 2012-08
• 作者: Christos L. Koumenides;N. Shadbolt

The Devil's Long Tail: Religious Moderation and Extremism on the Web

• DOI: 10.1109/mis.2009.123
• 发表时间: 2009-11
• 期刊: IEEE Intelligent Systems
• 影响因子: 6.4
• 作者: K. O’Hara;D. Stevens

SPARQL query rewriting for implementing data integration over linked data

• DOI: 10.1145/1754239.1754244
• 发表时间: 2010-03
• 作者: Gianluca Correndo;M. Salvadores;Ian Millard;H. Glaser;N. Shadbolt