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检索条件"机构=FAME and Knowledge and Data Engineering Group"
16 条 记 录,以下是11-20 订阅
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Explicit federal relationship management to support semantic integration
Explicit federal relationship management to support semantic...
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IFIP/IEEE International Symposium on Integrated Network Management
作者: Rob Brennan Kevin Feeney Brian Walsh Hendrik Thomas Declan O'Sullivan FAME and Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Dublin Ireland
Integration of disparate information resources has long been a significant research topic. Semantic approaches can help by allowing expression of concepts divorced from syntax and allowing rich, structured meta-data t... 详细信息
来源: 评论
Correspondence pattern attribute selection for consumption of federated data sources
Correspondence pattern attribute selection for consumption o...
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IEEE Symposium on Network Operations and Management
作者: Brian Walshe Rob Brennan Declan O'Sullivan FAME and Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Dublin Ireland
When consuming data from federated domains, it is often necessary to identify the relationships that exist between the data schemas used in each domain. Discovering the exact nature of these relationships is difficult... 详细信息
来源: 评论
A trust model for capability delegation in federated policy systems
A trust model for capability delegation in federated policy ...
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International Conference on Risks and Security of Internet and Systems, CRiSIS
作者: Kevin Feeney Simon N. Foley Rob Brennan FAME and Knowledge & Data Engineering Group Intelligent Systems Laboratory Trinity College Dublin Ireland FAME and Department of Computer Science University College Cork Cork Ireland
Federated policy systems are required to support the emergent complexity and organizational heterogeneity of modern Internet service delivery. This paper presents a distributed policy management approach which utilize... 详细信息
来源: 评论
Towards the use of policy decomposition for composite service management by non-expert end-users
Towards the use of policy decomposition for composite servic...
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IEEE Network Operations and Management Symposium Workshops (NOMS Workshops)
作者: John Keeney David Lewis Vincent Wade Knowledge & Data Engineering Group (KDEG) & FAME School of Computer Science & Statistics Trinity College Dublin Dublin Ireland
With the advent of Web 2.0, as web service composition gets easier, there is a trend towards nonexpert users not just consuming information and services, but also providing, aggregating, composing and eventually manag... 详细信息
来源: 评论
MooM -- A Prototype Framework for Management of Ontology Mappings
MooM -- A Prototype Framework for Management of Ontology Map...
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International Conference on Advanced Information Networking and Applications (AINA)
作者: Hendrik Thomas Rob Brennan Declan O'Sullivan Federated Autonomic Management of End-to-end Communication Services (FAME) Knowledge & Data Engineering Group Trinity College Dublin Ireland
The heterogeneity of ontologies is a major obstacle to the promised interoperability of knowledge in the Semantic Web. Ontology mappings can help to mitigate the effects by specifying the correspondences between relat... 详细信息
来源: 评论
Approaches to Relating and Integrating Semantic data from Heterogeneous Sources
Approaches to Relating and Integrating Semantic Data from He...
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IEEE WIC ACM International Conference on Web Intelligence (WI)
作者: John Keeney Aidan Boran Ivan Bedini Christopher J. Matheus Peter F. Patel-Schneider Knowledge & Data Engineering Group & FAME Computer Science & Statistics Trinity College Dublin Ireland Bell Laboratories Alcatel-Lucent Dublin Ireland
Integrating and relating heterogeneous data using inference is one of the cornerstones of semantic technologies and there are a variety of ways in which this may be achieved. Cross source relationships can be automati... 详细信息
来源: 评论