Learning Ontology Relations by Combining Corpus-Based Techniques and Reasoning on Data from Semantic Web Sources

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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:
Conceptual structures (Information theory)
Ontologies (Information retrieval)
Expert systems (Computer science)
Semantic Web.
Structures conceptuelles.
Ontologies (Recherche de l'information)
Systèmes experts (Informatique)
Web sémantique.
Semantic Web
dissertations.
Academic theses
Academic theses.
Thèses et écrits académiques.
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.

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