DocumentCode
3231702
Title
Investigating Semantic Measures in XML Clustering
Author
Nayak, Richi
Author_Institution
Sch. of Inf. Syst., Queensland Univ. of Technol., Brisbane, Qld.
fYear
2006
fDate
18-22 Dec. 2006
Firstpage
1042
Lastpage
1045
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location
Hong Kong
Print_ISBN
0-7695-2747-7
Type
conf
DOI
10.1109/WI.2006.106
Filename
4061518
Link To Document