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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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 |
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Digital Repository |
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Local University |
institution |
Curtin University Malaysia |
building |
Curtin Institutional Repository |
collection |
Online Access |
topic |
Semantic Network Disambiguation Co-occurrence Analysis Spreading Activation information systems Ontology Extension |
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 |
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. |
format |
Journal Article |
author |
Chang, Elizabeth Liu, W. Scharl, A. Weichselbraun, A. |
author_facet |
Chang, Elizabeth Liu, W. Scharl, A. Weichselbraun, A. |
author_sort |
Chang, Elizabeth |
title |
Semi-automatic ontology extension using spreading activation |
title_short |
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_sort |
semi-automatic ontology extension using spreading activation |
publisher |
Springer |
publishDate |
2005 |
url |
http://www.jucs.org/jukm_0_1/semi_automatic_ontology_extension/scharlb.pdf http://hdl.handle.net/20.500.11937/16085 |
first_indexed |
2018-09-06T19:32:28Z |
last_indexed |
2018-09-06T19:32:28Z |
_version_ |
1610887828705640448 |