DocumentCode :
3174627
Title :
XML Document Recommendation by Using Case Based Reasoning
Author :
Vacharaskunee, Sutheetutt ; Intakosum, Sarun
Author_Institution :
Dept. of Math. & Comput. Sci., King Mongkut´´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
fYear :
2010
fDate :
9-11 June 2010
Firstpage :
121
Lastpage :
126
Abstract :
Case Based Reasoning (CBR) is the process of solving new problem based on the solutions of similar previous problems. XML is a markup language that allows document owners describe their data in their own formats. There might be the same information has been described in various ways. This makes searching those information from different formats difficult. CXDR (CBR for XML Document Recommendation) is an idea to make searching XML documents easier. CXDR applies CBR framework to collect the mostly use XML document and recommend it to its user. CBR in CXDR consists of two parts, cases and knowledge. The case is XML documents and the knowledge is an XML document recommendation. The recommendation from CXDR is the most use XML element names and structure.
Keywords :
XML; case-based reasoning; WordNet; XML document recommendation; XML element names; case based reasoning; markup language; Artificial intelligence; Database languages; Distributed computing; Information retrieval; Keyword search; Markup languages; Software engineering; Software systems; Systems engineering and theory; XML; CBR; WordCount; WordNet; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering Artificial Intelligence Networking and Parallel/Distributed Computing (SNPD), 2010 11th ACIS International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4244-7422-6
Electronic_ISBN :
978-1-4244-7421-9
Type :
conf
DOI :
10.1109/SNPD.2010.29
Filename :
5521512
Link To Document :
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