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
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