An Evaluation Framework for Semantic Metadata
This event took place on Wednesday 24 October 2007 at 11:30
Yuangui Lei KMi, The Open University
Because poor quality semantic metadata can destroy the effectiveness of semantic web technology by hampering applications from producing accurate results, it is important to have frameworks that support their evaluation. However, there is no such framework developed to date. In this context, we proposed i) an evaluation reference model, which sketches some fundamental principles for evaluating semantic metadata, and ii) an evaluation framework, which provides a set of instruments to support the
detection of quality problems and the collection of quality metrics
for these problems. In this talk, I will present the reference model and evaluation framework.
(Due to upgrading of webcasting facility this event will not be available as a webcast or a replay)
This event took place on Wednesday 24 October 2007 at 11:30
Because poor quality semantic metadata can destroy the effectiveness of semantic web technology by hampering applications from producing accurate results, it is important to have frameworks that support their evaluation. However, there is no such framework developed to date. In this context, we proposed i) an evaluation reference model, which sketches some fundamental principles for evaluating semantic metadata, and ii) an evaluation framework, which provides a set of instruments to support the
detection of quality problems and the collection of quality metrics
for these problems. In this talk, I will present the reference model and evaluation framework.
(Due to upgrading of webcasting facility this event will not be available as a webcast or a replay)
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Future Internet is...

To succeed the Future Internet will need to address a number of cross-cutting challenges including:
- Scalability in the face of peer-to-peer traffic, decentralisation, and increased openness
- Trust when government, medical, financial, personal data are increasingly trusted to the cloud, and middleware will increasingly use dynamic service selection
- Interoperability of semantic data and metadata, and of services which will be dynamically orchestrated
- Pervasive usability for users of mobile devices, different languages, cultures and physical abilities
- Mobility for users who expect a seamless experience across spaces, devices, and velocities
Future Internet from KMi.
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