NDLI: Measuring similarity between collection of values

Content Provider	ACM Digital Library
Author	da Silva, Altigran Soares Heuser, Carlos A. de Moura, Edleno Silva Dorneles, Carina F. Lima, Andrei E. N.
Abstract	In this paper, we propose a set of similarity metrics for manipulating collections of values occuring in XML documents. Following the data model presented in TAX algebra, we treat an XML element as a labeled ordered rooted tree. Consider that XML nodes can be either atomic, i.e, they may contain single values such as short character strings, date, etc, or complex, i.e., nested structures that contain other nodes, we propose two types of similarity metrics: MAVs, for atomic nodes and MCVs, for complex nodes. In the first case, we suggest the use of several application domain dependent metrics. In the second case, we define metrics for complex values that are structure dependent, and can be distinctly applied for it and collections of values. We also present experiments showing the effectiveness of our method.
Starting Page	56
Ending Page	63
Page Count	8
File Format	PDF
ISBN	1581139780
DOI	10.1145/1031453.1031465
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2004-11-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Imprecise queries Xml Similarity functions Vague queries
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Measuring similarity between collection of values