Title :
Investigating Semantic Measures in XML Clustering
Author_Institution :
Sch. of Inf. Syst., Queensland Univ. of Technol., Brisbane, Qld.
Abstract :
This paper discusses the influence of semantic computation in structural data such as XML for clustering similar data. We study how the semantic similarity at individual element level influences the overall similarity of documents. The empirical results indicate that the semantic measures do not play an important role in finding clusters in structural data such as XML
Keywords :
Internet; XML; computational linguistics; information retrieval; pattern clustering; Web intelligence; XML clustering; data mining; data retrieval; semantic computation; semantic measures; semantic similarity; Australia; Clustering algorithms; Data models; Dictionaries; Document handling; Information systems; Ontologies; Pattern matching; Tree graphs; XML;
Conference_Titel :
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2747-7
DOI :
10.1109/WI.2006.106
