Semi-automatic ontology extension using spreading activation

This paper describes a system to semi-automatically extend and refine ontologies by mining textual data from the Web sites of international online media. Expanding a seed ontology creates a semantic network through co-occurrence analysis, trigger phrase analysis, and disambiguation based on the Word...

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Main Authors: Chang, Elizabeth, Liu, W., Scharl, A., Weichselbraun, A.
Format: Journal Article
Published: Springer 2005
Subjects:
Online Access:http://www.jucs.org/jukm_0_1/semi_automatic_ontology_extension/scharlb.pdf
http://hdl.handle.net/20.500.11937/16085
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author Chang, Elizabeth
Liu, W.
Scharl, A.
Weichselbraun, A.
author_facet Chang, Elizabeth
Liu, W.
Scharl, A.
Weichselbraun, A.
author_sort Chang, Elizabeth
building Curtin Institutional Repository
collection Online Access
description This paper describes a system to semi-automatically extend and refine ontologies by mining textual data from the Web sites of international online media. Expanding a seed ontology creates a semantic network through co-occurrence analysis, trigger phrase analysis, and disambiguation based on the WordNet lexical dictionary. Spreading activation then processes this semantic network to find the most probable candidates for inclusion in an extended ontology. Approaches to identifying hierarchical relationships such as subsumption, head noun analysis and WordNet consultation are used to confirm and classify the found relationships. Using a seed ontology on "climate change" as an example, this paper demonstrates how spreading activation improves the result by naturally integrating the mentioned methods.
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institution Curtin University Malaysia
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publishDate 2005
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spelling curtin-20.500.11937-160852017-02-27T14:47:54Z Semi-automatic ontology extension using spreading activation Chang, Elizabeth Liu, W. Scharl, A. Weichselbraun, A. Semantic Network Disambiguation Co-occurrence Analysis Spreading Activation information systems Ontology Extension This paper describes a system to semi-automatically extend and refine ontologies by mining textual data from the Web sites of international online media. Expanding a seed ontology creates a semantic network through co-occurrence analysis, trigger phrase analysis, and disambiguation based on the WordNet lexical dictionary. Spreading activation then processes this semantic network to find the most probable candidates for inclusion in an extended ontology. Approaches to identifying hierarchical relationships such as subsumption, head noun analysis and WordNet consultation are used to confirm and classify the found relationships. Using a seed ontology on "climate change" as an example, this paper demonstrates how spreading activation improves the result by naturally integrating the mentioned methods. 2005 Journal Article http://hdl.handle.net/20.500.11937/16085 http://www.jucs.org/jukm_0_1/semi_automatic_ontology_extension/scharlb.pdf Springer fulltext
spellingShingle Semantic Network
Disambiguation
Co-occurrence Analysis
Spreading Activation
information systems
Ontology Extension
Chang, Elizabeth
Liu, W.
Scharl, A.
Weichselbraun, A.
Semi-automatic ontology extension using spreading activation
title Semi-automatic ontology extension using spreading activation
title_full Semi-automatic ontology extension using spreading activation
title_fullStr Semi-automatic ontology extension using spreading activation
title_full_unstemmed Semi-automatic ontology extension using spreading activation
title_short Semi-automatic ontology extension using spreading activation
title_sort semi-automatic ontology extension using spreading activation
topic Semantic Network
Disambiguation
Co-occurrence Analysis
Spreading Activation
information systems
Ontology Extension
url http://www.jucs.org/jukm_0_1/semi_automatic_ontology_extension/scharlb.pdf
http://hdl.handle.net/20.500.11937/16085