NDLI: An Approach to XML Tag Recommendation

Content Provider	IEEE Xplore Digital Library
Author	Vacharaskunee, S. Intakosum, S.
Copyright Year	2011
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.
Starting Page	18
Ending Page	23
File Size	189046
Page Count	6
File Format	PDF
ISBN	9781612844275
DOI	10.1109/ITNG.2011.11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptation models Image color analysis Semantics XML WordCount Color Receivers XML Tag Similarity XML Path Matching WordNet Vehicles
Content Type	Text
Resource Type	Article

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