Quotation Weichselbraun, Albert, Wohlgenannt, Gerhard, Scharl, Arno. 2010. Refining Non-Taxonomic Relation Labels with External Structured Data to Support Ontology Learning. Data and Knowledge Engineering 69 (8): 763-778.


RIS


BibTeX

Abstract

This paper presents a method to integrate external knowledge sources such as DBpedia and OpenCyc into an ontology learning system that automatically suggests labels for unknown relations in domain ontologies based on large corpora of unstructured text. The method extracts and aggregates verb vectors from semantic relations identified in the corpus. It composes a knowledge base which consists of (i) verb centroids for known relations between domain concepts, (ii) mappings between concept pairs and the types of known relations, and (iii) ontological knowledge retrieved from external sources. Applying semantic inference and validation to this knowledge base yields a refined relation label suggestion. A formal evaluation compares the accuracy and average ranking precision of this hybrid method with the performance of methods that solely rely on corpus data and those that are only based on reasoning and external data sources.

Tags

Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Data & Knowledge Engineering
Citation Index SCI
WU Journalrating 2009 A
WU-Journal-Rating new INF-A, STRAT-B, WH-B
Language English
Title Refining Non-Taxonomic Relation Labels with External Structured Data to Support Ontology Learning
Volume 69
Number 8
Year 2010
Page from 763
Page to 778
Reviewed? Y

Associations

Projects
RAVEN - Relation Analysis and Visualization for Enterprise Networks
People
Weichselbraun, Albert (Details)
Wohlgenannt, Gerhard (Former researcher)
Scharl, Arno (Former researcher)
Organization
Applied Information Technology (Details)
Research Institute for Computational Methods FI (Details)
Google Scholar: Search