DBOnto: Bridging Databases and Ontologies

DBOnto:桥接数据库和本体

基本信息

  • 批准号:
    EP/L012138/1
  • 负责人:
  • 金额:
    $ 161.03万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2014
  • 资助国家:
    英国
  • 起止时间:
    2014 至 无数据
  • 项目状态:
    已结题

项目摘要

Sources of information and our dependence on them are increasing at a phenomenal rate. The most obvious example is the explosive growth and rapid evolution of the World Wide Web, but other projects in research, industry, healthcare and government also exhibit a critical dependence on the effective management and exploitation of large scale data. The kind of information available is also changing rapidly, and often includes unstructured and semi-structured data, streaming data, noisy and incomplete data, and linked datasets. Simultaneously dealing with the rapidly increasing size, complexity and heterogeneity of data presents a grand challenge for information systems research, and has created an urgent need for more capable information systems. Meeting this need will be critical to the UK's future competitiveness.Information systems clearly have a key role to play in addressing these extremely complex problems, but they need to evolve to reflect the rapidly changing information landscape. This evolution is the basis for the emerging field of semantics-aware data management, which involves a synthesis of ontological reasoning and database management principles. Semantics-aware systems employ rich schemas (AKA ontologies) that allow them to deal with incomplete and semi-structured information from heterogeneous sources, and to answer queries in a way that reflects both knowledge and data, i.e., to deliver understanding from information.We believe, however, that if such systems are to be widely applicable, then their enhanced capabilities must, be in addition to, and not instead of, the well-established features and high performance of existing database systems; moreover, we believe that they will need to incorporate techniques from many other areas of computer science, particularly those that give a complementary view of ``Big Data'' management, such as algorithms and machine learning, stream processing, and information retrieval. The goal of the Oxford Information Systems Group (ISG) is to develop next generation semantics-aware data management systems that fully realise the desired synthesis.ISG is uniquely positioned to realise such a synthesis: the group has world-leading expertise in both data management and ontology-based systems, an extensive network of contacts with information system users and data owners in the life sciences, government and industry, and is already tackling some of the most important and challenging scientific problems in the area. A platform grant would allow us to undertake the longer term, larger scale and more adventurous research that will be required in order to fully realise our ambitious goals, and at the same time offer an enhanced range of career development opportunities to our early-career researchers.Platform funding would be used to provide stability and continuity for the existing PDRA team, and would help us to continue to attract and retain the most talented young researchers from around the world. It would also be used to develop new intra- and inter-disciplinary collaborations via support for research visits and short exploratory research projects, and to pursue new approaches to interaction with industry, building on and extending our established collaborations. The latter would include, e.g., the longer term embedding of PDRAs in industry, extending our research efforts beyond the traditional research prototype, specialising our tools for particular industries, and using them to test our research hypotheses in realistic industrial environments. Finally, platform funding would support extended outreach activities, including the development and delivery of tutorials, short courses, and a summer school.Platform funding would thus enable us both to tackle a strategically important problem requiring a large team with a wide range of expertise, and to develop the careers of the next generation of research leaders.
信息来源和我们对它们的依赖正以惊人的速度增长。最明显的例子是万维网的爆炸性增长和快速发展,但研究、工业、医疗保健和政府的其他项目也表现出对大规模数据的有效管理和利用的关键依赖。可用的信息类型也在迅速变化,通常包括非结构化和半结构化数据、流数据、噪声和不完整数据以及链接数据集。与此同时,处理快速增长的规模,复杂性和异构性的数据提出了一个巨大的挑战,信息系统的研究,并创造了一个更强大的信息系统的迫切需要。满足这一需求对英国未来的竞争力至关重要。信息系统显然在解决这些极其复杂的问题方面发挥着关键作用,但它们需要发展以反映快速变化的信息环境。这种演变是新兴的语义感知数据管理领域的基础,它涉及本体推理和数据库管理原则的综合。语义感知系统采用丰富的模式(AKA本体),允许它们处理来自异构源的不完整和半结构化信息,并以反映知识和数据的方式回答查询,即,然而,我们认为,如果这种系统要得到广泛应用,那么其增强的能力必须是对现有数据库系统的完善功能和高性能的补充,而不是取代它们;此外,我们认为,它们将需要结合计算机科学许多其他领域的技术,特别是那些提供“大数据”管理的补充观点的,如算法和机器学习,流处理和信息检索。牛津信息系统集团(ISG)的目标是开发下一代语义感知数据管理系统,以充分实现所需的综合。ISG是实现这种综合的独特定位:该集团在数据管理和基于本体的系统方面拥有世界领先的专业知识,与生命科学、政府和工业领域的信息系统用户和数据所有者建立了广泛的联系网络,并且已经在解决该领域一些最重要和最具挑战性的科学问题。平台资助将使我们能够进行更长期,更大规模和更冒险的研究,以充分实现我们的宏伟目标,同时为我们的早期职业研究人员提供更多的职业发展机会。平台资助将用于为现有的PDRA团队提供稳定性和连续性,并将帮助我们继续吸引和留住来自世界各地最有才华的年轻研究人员。它还将用于通过支持研究访问和短期探索性研究项目来发展新的学科内和学科间合作,并在我们现有合作的基础上寻求与工业界互动的新方法。后者将包括,例如,PDRA在工业中的长期嵌入,将我们的研究工作扩展到传统的研究原型之外,为特定行业专门化我们的工具,并使用它们在现实的工业环境中测试我们的研究假设。最后,平台资金将支持扩展的外展活动,包括开发和提供教程、短期课程和暑期学校。因此,平台资金将使我们能够解决一个需要拥有广泛专业知识的大型团队的战略重要问题,并培养下一代研究领导者的职业生涯。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting
  • DOI:
    10.1609/aaai.v34i04.5705
  • 发表时间:
    2019-04
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ralph Abboud;I. Ceylan;Thomas Lukasiewicz
  • 通讯作者:
    Ralph Abboud;I. Ceylan;Thomas Lukasiewicz
Finite Open-World Query Answering with Number Restrictions
具有数量限制的有限开放世界查询应答
  • DOI:
    10.1109/lics.2015.37
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Amarilli A
  • 通讯作者:
    Amarilli A
The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference, Auckland, New Zealand, October 26-30, 2019, Proceedings, Part I
语义网 - ISWC 2019 - 第 18 届国际语义网会议,新西兰奥克兰,2019 年 10 月 26-30 日,会议记录,第一部分
  • DOI:
    10.1007/978-3-030-30793-6_2
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ajileye T
  • 通讯作者:
    Ajileye T
Approximate weighted model integration on DNF structures
DNF 结构上的近似加权模型集成
  • DOI:
    10.1016/j.artint.2022.103753
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    14.4
  • 作者:
    Abboud R
  • 通讯作者:
    Abboud R
Query Answering with Transitive and Linear-Ordered Data
使用传递性和线性有序数据进行查询应答
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Amarilli A
  • 通讯作者:
    Amarilli A
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Ian Horrocks其他文献

OWL: A Description Logic Based Ontology Language
  • DOI:
    10.1007/11562931_1
  • 发表时间:
    2005-10
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ian Horrocks
  • 通讯作者:
    Ian Horrocks
Ontologies and Schema Languages on the Web
网络上的本体论和模式语言
  • DOI:
    10.7551/mitpress/6412.003.0006
  • 发表时间:
    2003
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Klein;J. Broekstra;D. Fensel;F. V. Harmelen;Ian Horrocks
  • 通讯作者:
    Ian Horrocks
KR and Reasoning on the Semantic Web: OWL
KR 和语义网上的推理:OWL
  • DOI:
    10.1007/978-3-540-92913-0_9
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ian Horrocks;P. Patel
  • 通讯作者:
    P. Patel
Satisfaction and Implication of Integrity Constraints in Ontology-based Data Access
基于本体的数据访问中完整性约束的满足和含义
  • DOI:
    10.24963/ijcai.2019/253
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    C. Nikolaou;B. C. Grau;Egor V. Kostylev;M. Kaminski;Ian Horrocks
  • 通讯作者:
    Ian Horrocks
Comparing Subsumption Optimizations
比较包含优化
  • DOI:
  • 发表时间:
    1998
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ian Horrocks;P. Patel
  • 通讯作者:
    P. Patel

Ian Horrocks的其他文献

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{{ truncateString('Ian Horrocks', 18)}}的其他基金

ConCur: Knowledge Base Construction and Curation
ConCur:知识库构建和管理
  • 批准号:
    EP/V050869/1
  • 财政年份:
    2021
  • 资助金额:
    $ 161.03万
  • 项目类别:
    Research Grant
ED3: Enabling analytics over Diverse Distributed Datasources
ED3:支持对不同分布式数据源的分析
  • 批准号:
    EP/N014359/1
  • 财政年份:
    2016
  • 资助金额:
    $ 161.03万
  • 项目类别:
    Research Grant
ExODA: Integrating Description Logics and Database Technologies for Expressive Ontology-Based Data Access
ExODA:集成描述逻辑和数据库技术以实现基于表达本体的数据访问
  • 批准号:
    EP/H051511/1
  • 财政年份:
    2011
  • 资助金额:
    $ 161.03万
  • 项目类别:
    Research Grant
ConDOR: Consequence-Driven Ontology Reasoning
ConDOR:结果驱动的本体推理
  • 批准号:
    EP/G02085X/1
  • 财政年份:
    2009
  • 资助金额:
    $ 161.03万
  • 项目类别:
    Research Grant
HermiT: Reasoning with Large Ontologies
HermiT:利用大型本体进行推理
  • 批准号:
    EP/F065841/1
  • 财政年份:
    2008
  • 资助金额:
    $ 161.03万
  • 项目类别:
    Research Grant
LOGO: Logics for Ontologies
LOGO:本体逻辑
  • 批准号:
    EP/C543319/2
  • 财政年份:
    2007
  • 资助金额:
    $ 161.03万
  • 项目类别:
    Fellowship
Reasoning Infrastructure for Ontologies and Instances
本体和实例的推理基础设施
  • 批准号:
    EP/E03781X/1
  • 财政年份:
    2007
  • 资助金额:
    $ 161.03万
  • 项目类别:
    Research Grant
REOL: Reasoning for Expressive Ontology Languages
REOL:表达本体语言的推理
  • 批准号:
    EP/C537211/2
  • 财政年份:
    2007
  • 资助金额:
    $ 161.03万
  • 项目类别:
    Research Grant
LOGO: Logics for Ontologies
LOGO:本体逻辑
  • 批准号:
    EP/C543319/1
  • 财政年份:
    2006
  • 资助金额:
    $ 161.03万
  • 项目类别:
    Fellowship

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