Abstract
| Original language | English |
|---|---|
| Title of host publication | K-CAP '07 - proceedings of the 4th international conference on Knowledge capture |
| Editors | Derek Sleeman, Ken Barker |
| Place of Publication | New York, NY (US) |
| Publisher | ACM |
| Pages | 135-142 |
| Number of pages | 8 |
| ISBN (Print) | 978-1-59593-643-1 |
| DOIs | |
| Publication status | Published - 28 Oct 2007 |
| Event | 4th International Conference on Knowledge Capture - Whistler, BC, Canada Duration: 28 Oct 2007 → 31 Oct 2007 |
Conference
| Conference | 4th International Conference on Knowledge Capture |
|---|---|
| Abbreviated title | K-CAP'07 |
| Country | Canada |
| City | Whistler, BC |
| Period | 28/10/07 → 31/10/07 |
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A framework for evaluating semantic metadata. / Lei, Yuangui; Uren, Victoria; Motta, Enrico.
K-CAP '07 - proceedings of the 4th international conference on Knowledge capture. ed. / Derek Sleeman; Ken Barker. New York, NY (US) : ACM, 2007. p. 135-142.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - A framework for evaluating semantic metadata
AU - Lei, Yuangui
AU - Uren, Victoria
AU - Motta, Enrico
PY - 2007/10/28
Y1 - 2007/10/28
N2 - 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 developedto date. In this context, we proposed i) an evaluation reference model, SemRef, which sketches some fundamental principles for evaluating semantic metadata, and ii) an evaluation framework, SemEval, which provides a set of instruments to support the detection of quality problems and the collection of quality metrics for these problems. A preliminary case study of SemEval shows encouraging results.
AB - 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 developedto date. In this context, we proposed i) an evaluation reference model, SemRef, which sketches some fundamental principles for evaluating semantic metadata, and ii) an evaluation framework, SemEval, which provides a set of instruments to support the detection of quality problems and the collection of quality metrics for these problems. A preliminary case study of SemEval shows encouraging results.
UR - http://dl.acm.org/citation.cfm?doid=1298406.1298431
U2 - 10.1145/1298406.1298431
DO - 10.1145/1298406.1298431
M3 - Conference contribution
SN - 978-1-59593-643-1
SP - 135
EP - 142
BT - K-CAP '07 - proceedings of the 4th international conference on Knowledge capture
A2 - Sleeman, Derek
A2 - Barker, Ken
PB - ACM
CY - New York, NY (US)
ER -