This paper first introduces standard XML reference instants and XML data instants based on the weighted XML data model. Then it displays the expression ways of constraints in DTD. Furthermore, the paper also shows the approaches on how to implement similarity algorithm,with an emphasis on how to find out a matching node with standard XML reference instants and to get the similarity algorithm of standard XML reference instants and that of XML data instants.
李树青,程国达,王维民. 基于加权XML模型的XML数据与DTD模式匹配*[J]. 现代图书情报技术, 2010, 26(1): 57-65.
Li Shuqing,Cheng Guoda,Wang Weimin. The Schema Matching of XML and DTD Based on Weighted XML Data Model. New Technology of Library and Information Service, 2010, 26(1): 57-65.
[1] Bertino E, Guerrini G,Mesiti M. A Matching Algorithm for Measuring the Structural
Similarity Between an XML Documents and a DTD and Its Applications[J]. Information Systems, 2004, 29(1):23-46.
[2] Tekli J, Chbeir R, Yetongnon K. An XML Grammar Comparison Framework–Technical Report[R/OL].
[2009-11-11].http://www.u-bourgogne.fr/Dbconf/XGM/MatchersAndExperiments.pdf.
[3] Rahm E,Bernstein P A. A Survey of Approaches to Automatic Schema Matching[J]. The VLDB Journal, 2001, 10(4):334-350.
[4] Silvana Castano,Valeria De Antonellis,Sabrina De Capitani di Vimercati. Global Viewing
of Heterogeneous Data Sources[J]. IEEE Transactions on Knowledge and Data Engineering, 2001,13(2):277-297.
[5] Li J X, Liu J X,Liu C F, et al. Computing Structural Similarity of Source XML Schemas
Against Domain XML Schema[C].In:Proceedings of the 19th Conference on Australasian
Database,Gold Coast, Australia. Darlinghurst, Australia:Australian Computer Society,2008:155-164.
[6] Guerrini G, Mesiti M, Sanz I. An Overview of Similarity Measures for Clustering XML
Documents[EB/OL]. [2009-12-01].http://krono.act.uji.es/publications/pdf/gms.pdf.
[7] Nierman A, Jagadish H V. Evaluating Structural Similarity in XML Documents[C].
In:Proceedings of the 5th ACM SIGMOD International Workshop on the Web and Databases.2002: 61-66.
[8] Dalamagas T, Cheng T, Winkel K, et al. A Methodology for Clustering XML Documents by
Structure[J]. Information Systems, 2006, 31(3):187-228.
[9] Tekli J, Chbeir R, Yetongnon K. Structural Similarity Evaluation Between XML Documents
and DTDs[C]. In:Proceedings of the 8th International Conference on Web Information Systems
Engineering (WISE’07),Nancy, France. Berlin Heidelberg: Springer-Verlag, 2007: 196-201.
[10] Yang R, Kalnis P, Tung A K H. Similarity Evaluation on Tree-structured Data[C]. In:
Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data,
Baltimore, Maryland. New York, USA:ACM Press, 2005: 754-765.
[11] Doan A, Domingos P, Halevy A Y. Reconciling Schemas of Disparate Data Sources: A
Machine Learning Approach[J]. ACM SIGMOD Record, 2001,30(2):509-520.
[12] Su H, Padmanabhan S, Lo M L. Identification of Syntactically Similar DTD Elements for
Schema Matching[C]. In: Proceedings of the 2nd International Conference on Advances in
Web-Age Information Management. London, UK:Springer-Verlag,2001: 145-159.
[13] Boukottaya A, Vanoirbeek C. Schema Matching for Transforming Structured Documents
[C]. In:Proceedings of the 2005 ACM Symposium on Document Engineering, Bristol, UK. New York, USA: ACM Press, 2005: 101-110.
[14] Yi S, Huang B, Chan W T. XML Application Schema Matching Using Similarity Measure
and Relaxation Labeling[J]. Information Sciences, 2005, 169(1-2): 27–46.
[15] Formica A. Similarity of XML-Schema Elements: A Structural and Information Content
Approach[J]. The Computer Journal, 2008, 51(2):240-254.
[16] Duta A C, Barker K, Alhajj R. RA: An XML Schema Reduction Algorithm[C]. In: Proceedings of ADBIS. 2006.
[17] Thang H Q, Nam V S. XML Schema Automatic Matching Solution[J]. International
Journal of Computer Systems Science and Engineering, 2008, 4(1): 68-74.
[18] Do H H, Rahm E. COMA: A System for Flexible Combination of Schema Matching
Approaches[C]. In: Proceedings of the 28th VLDB Conference, Hong Kong,China. 2002: 610-621.