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Data-intensive e-science applications often rely on third-party data found in public repositories, whose quality is largely unknown. Although scientists are aware that this uncertainty may lead to incorrect scientific conclusions, in the absence of a quantitative characterization of data quality properties they find it difficult to formulate precise data(More)
Anomalies such as redundant, contradictory and deecient k n o wledge in a knowledge base are symptoms of probable errors. Detecting anomalies is a well-established method for verifying knowledge-based systems. Although many tools have been developed to perform anomaly detection , several important issues have been neglected, especially the theoretical(More)
OBJECTIVE To propose a research agenda that addresses technological and other knowledge gaps in developing telemonitoring solutions for patients with chronic diseases, with particular focus on detecting deterioration early enough to intervene effectively. DESIGN A mixed methods approach incorporating literature review, key informant, and focus group(More)
Virtual organisations (VOs) are composed of a number of individuals, departments or organisations each of which has a range of capabilities and resources at their disposal. These VOs are formed so that resources may be pooled and services combined with a view to exploiting a perceived market niche. However, in the modern commercial environment it is(More)
The ability to create reliable, scalable virtual organisations (VOs) on demand in a dynamic, open and competitive environment is one of the challenges that underlie Grid computing. In response, in the CONOISE-G project, we are developing an infrastructure to support robust and resilient virtual organisation formation and operation. Specifically, CONOISE-G(More)
I n recent years, knowledge management has referred to efforts to capture, store, and deploy knowledge using a combination of information technology and business processes. 1–3 More specifically, organizations aim to acquire knowledge from valued individuals and to analyze business activities to learn from successes and failures. Such captured knowledge(More)
In this talk… • We argue for the utility of an expressive quantified constraint language for the SW logic layer – based on classical range-restricted FOL • We develop a quantified constraint representation as an extension of the Semantic Web Rule Language (SWRL) – compatible with OWL as well as RDFS • We illustrate the use of the CIF/SWRL representation in(More)
This paper describes the KRAFT architecture which supports the fusion of knowledge from multiple, distributed, heterogeneous sources. The architecture uses constraints as a common knowledge interchange format, expressed against a common ontology. Knowledge held in local sources can be tranformed into the common constraint language, and fused with knowledge(More)