Learning Ontology Relations by Combining Corpus-Based Techniques and Reasoning on Data from Semantic Web Sources
The manual construction of formal domain conceptualizations (ontologies) is labor-intensive. Ontology learning, by contrast, provides (semi- )automatic ontology generation from input data such as domain text. This thesis proposes a novel approach for learning labels of non-taxonomic ontology relatio...
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| Format: | eBook |
| Language: | English |
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Frankfurt a.M.
Peter Lang GmbH, Internationaler Verlag der Wissenschaften
2018, [2018], ©2011
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| Edition: | 1st, New ed |
| Series: | Forschungsergebnisse der Wirtschaftsuniversität Wien
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| Online Access: | |
| Collection: | JSTOR Open Access Books - Collection details see MPG.ReNa |
Table of Contents:
- Ontology learning fundamentals and techniques
- Overview of ontology relation detection and labeling methods
- A novel hybrid approach for labeling non-taxonomic relations which combines corpus-based methods with ontology reasoning based on Semantic Web sources
- Improved accuracy demonstrated with an extensive formal evaluation