Abstract
Labor-intensity of resource quality assessment is a bottleneck for content management in metadata-driven health information portals. This research proposes an adaptive attribute-based approach to assist informed judgments when assessing the quality of online information resources. It employs intelligent learning techniques to predict values of resource quality attributes based on previous value judgments encoded in resource metadata descriptions. The proposed approach is implemented as an intelligent quality attribute learning component of a portal’s content management system. This paper introduces the required machine learning procedures for the implementation of the component. Its prediction performance was evaluated via a series of machine learning experiments, which demonstrated the feasibility and the potential usefulness of the proposed approach.
Original language | English |
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Title of host publication | Database Systems for Adanced Applications |
Subtitle of host publication | 16th International Conference, DASFAA 2011, International Workshops: GDB, SIM3, FlashDB, SNSMW, DaMEN, DQIS, Hong Kong, China, April 22-25, 2011, Proceedings |
Editors | Jianliang Xu, Ge Yu, Shuigeng Zhou, Rainer Unland |
Place of Publication | Heidelberg [Germany] |
Publisher | Springer |
Pages | 526 - 537 |
Number of pages | 12 |
ISBN (Electronic) | 9783642202445 |
ISBN (Print) | 9783642202438 |
Publication status | Published - 2011 |
Event | International Workshop on Data Quality in Integration Systems (DQIS 2011) - Hong Kong, China Duration: 22 Apr 2011 → 22 Apr 2011 Conference number: 4th http://faculty.neu.edu.cn/yangxc/DQIS2011/ |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 6637 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Workshop
Workshop | International Workshop on Data Quality in Integration Systems (DQIS 2011) |
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Abbreviated title | DQIS 2011 |
Country/Territory | China |
City | Hong Kong |
Period | 22/04/11 → 22/04/11 |
Other | Fourth International Workshop on Data Quality in Integration Systems (DQIS2011) In conjunction with the 16th International Conference on Database Systems for Advanced Applications (DASFAA 2011) (All published papers are expected to be indexed by SCI, EI, and ISTP) |
Internet address |
Keywords
- Health information portals
- Machine learning
- Metadata
- Quality assessment