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 relation...
Format: | eBook |
---|---|
Language: | English |
Published: |
Bern
Peter Lang International Academic Publishing Group
2018
|
Series: | Forschungsergebnisse der Wirtschaftsuniversitaet Wien
|
Subjects: | |
Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
Similar Items
-
Learning Ontology Relations by Combining Corpus-Based Techniques and Reasoning on Data from Semantic Web Sources
by: Wohlgenannt, Gerhard
Published: (2018) -
Cohabitation of Relational Databases and Domain Ontologies in the Semantic Web Context
by: Leila Zemmouchi-Ghomari
Published: (2018-01-01) -
Ontology-based reasoning for entity-relationship data model semantic evaluation
by: Biljana Radulović, et al.
Published: (2017-01-01) -
The Importance of Being Interpreted: Grounded Words and Children’s Relational Reasoning
by: Ji Yun Son, et al.
Published: (2012-03-01) -
Inferring ontology graph structures using OWL reasoning
by: Miguel Ángel Rodríguez-García, et al.
Published: (2018-01-01)