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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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Tesis Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Frankfurt a.M.
Peter Lang GmbH, Internationaler Verlag der Wissenschaften
[2018], ©2011.
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| Edición: | 1st, New ed. |
| Colección: | Free online access: JSTOR.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.