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Featureless similarities for terms clustering using tree-traversing ants
Abstract Besides being difficult to scale between dBesides being difficult to scale between different domains and to handle knowledge fluctuations, the results of terms clustering presented by existing ontology engineering systems are far from desirable. In this paper, we propose a new version of ant-based method for clustering terms known as Tree-Traversing Ants (TTA). With the help of the Normalized Google Distance (NGD) and n° of Wikipedia (n°W) as measures for similarity and distance between terms, we attempt to achieve an adaptable clustering method that is highly scalable across domains. Initial experiments with two datasets show promising results and demonstrated several advantages that are not simultaneously present in standard ant-based and other conventional clustering methods. Copyrightconventional clustering methods. Copyright
Abstractsub Besides being difficult to scale between dBesides being difficult to scale between different domains and to handle knowledge fluctuations, the results of terms clustering presented by existing ontology engineering systems are far from desirable. In this paper, we propose a new version of ant-based method for clustering terms known as Tree-Traversing Ants (TTA). With the help of the Normalized Google Distance (NGD) and n° of Wikipedia (n°W) as measures for similarity and distance between terms, we attempt to achieve an adaptable clustering method that is highly scalable across domains. Initial experiments with two datasets show promising results and demonstrated several advantages that are not simultaneously present in standard ant-based and other conventional clustering methods. Copyrightconventional clustering methods. Copyright
Bibtextype inproceedings  +
Doi 10.1145/1232425.1232448  +
Has author Wong W. + , Wei Liu + , Bennamoun M. +
Has extra keyword Ant-based clustering + , Clustering methods + , Conventional clustering + , Dataset + , Different domains + , Normalized Google distances + , Ontology engineering + , Similarity measure + , Wikipedia + , Knowledge engineering + , Natural language processing systems + , Ontology + , Cluster analysis +
Has keyword Ant-based clustering method + , Featureless similarity measures + , Terms clustering +
Isbn 1740521307; 9781740521307  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 177–191  +
Published in ACM International Conference Proceeding Series +
Title Featureless similarities for terms clustering using tree-traversing ants +
Type conference paper  +
Volume 213  +
Year 2006 +
Creation dateThis property is a special property in this wiki. 7 November 2014 17:53:34  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 17:53:34  +
DateThis property is a special property in this wiki. 2006  +
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