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

Download or read book Learning Ontology Relations by Combining Corpus-Based Techniques and Reasoning on Data from Semantic Web Sources written by Gerhard Wohlgenannt and published by Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften. This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 relations. It combines corpus-based techniques with reasoning on Semantic Web data. Corpus-based methods apply vector space similarity of verbs co-occurring with labeled and unlabeled relations to calculate relation label suggestions from a set of candidates. A meta ontology in combination with Semantic Web sources such as DBpedia and OpenCyc allows reasoning to improve the suggested labels. An extensive formal evaluation demonstrates the superior accuracy of the presented hybrid approach.