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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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Wohlgenannt, Gerhard (Author)
Format: Thesis Electronic eBook
Language:Inglés
Published: Frankfurt a.M. Peter Lang GmbH, Internationaler Verlag der Wissenschaften [2018], ©2011.
Edition:1st, New ed.
Series:Free online access: JSTOR.
Subjects:
Online Access:Texto completo
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.