Wohlgenannt, Gerhard and Belk, Stefan and Rohrer, Katharina. 2015. Optimizing Ontology Learning Systems that use Heterogeneous Sources of Evidence. In MIWAI 2015, Hrsg. Zheng, Xianghan and Bikanis, Antonis}, 137-148. Fuzhou, China: Springer.
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Status of publication | Published |
---|---|
Affiliation | WU |
Type of publication | Contribution to conference proceedings |
Language | English |
Title | Optimizing Ontology Learning Systems that use Heterogeneous Sources of Evidence |
Title of whole publication | MIWAI 2015 |
Editor | Zheng, Xianghan and Bikanis, Antonis} |
Page from | 137 |
Page to | 148 |
Location | Fuzhou, China |
Publisher | Springer |
Year | 2015 |
Associations
- People
- Wohlgenannt, Gerhard (Former researcher)
- Belk, Stefan (Former researcher)
- Rohrer, Katharina (Former researcher)
- Organization
- Institute for Data, Process and Knowledge Management (AE Polleres) (Details)
- Research Institute for Computational Methods FI (Details)
- Research areas (Ă–STAT Classification 'Statistik Austria')
- 1127 Information science (Details)
- 1140 Software engineering (Details)
- 1148 Computational linguistics (Details)