DocumentCode
2122453
Title
An Approach to XML Tag Recommendation
Author
Vacharaskunee, Sutheetutt ; Intakosum, Sarun
Author_Institution
Dept. of Math. & Comput. Sci., King Mongkut´´s Inst. of Technol. Ladkraban, Bangkok, Thailand
fYear
2011
fDate
11-13 April 2011
Firstpage
18
Lastpage
23
Abstract
The one strong point of XML is that it allows document owners to create their own structure and tag names. It might be that some XML documents contain the same information but use a different structure and/or tag names that have the same meaning but in different words. It will be difficult not only to search all relevant information in one query but also to use exchanged information right away. If the sender and receiver use different formats of XML, then either the sender or receiver has to reformat his XML. The best way to make searching and/or exchanging information easier is to ensure that all XML documents are in the same format. XML Tag Recommendation (XTR) is introduced to support this idea. XTR is based on case-based reasoning framework. It collects the most used tag name as a solution for future use. When you insert a new problem to XTR, it finds the most similar case and recommends the solution from that case to the XML document owner. The XML document owner can change his document format into the recommended solution format. Thus, the XML documents are in the same format. This makes searching and/or exchanging information more powerful.
Keywords
XML; case-based reasoning; recommender systems; XML documents; XML tag recommendation; XTR; case-based reasoning framework; Adaptation models; Color; Image color analysis; Receivers; Semantics; Vehicles; XML; WordCount; WordNet; XML Path Matching; XML Tag Similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: New Generations (ITNG), 2011 Eighth International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-61284-427-5
Electronic_ISBN
978-0-7695-4367-3
Type
conf
DOI
10.1109/ITNG.2011.11
Filename
5945201
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