An overview on XML similarity: Background, current trends and future directions

Computer Science Review

Volumn 3, Issue 3, 2009, Pages 151-173

  Tekli, Joe ^a   Chbeir, Richard ^a   Yetongnon, Kokou ^a  

^a UNIVERSITÉ DE BOURGOGNE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION/CLUSTERING; COMPLEX DATA; FUTURE RESEARCH DIRECTIONS; MULTIMEDIA OBJECT; XML QUERYING; XML STANDARDS;

DATA WAREHOUSES; INFORMATION MANAGEMENT;

XML;

EID: 68549107726     PISSN: 15740137     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cosrev.2009.03.001     Document Type: Article

References (83)

1. Tai K.C. The tree-to-tree correction problem. Journal of the ACM 26 (1979) 422-433
2. Zhang K., and Shasha D. Simple fast algorithms for the editing distance between trees and related problems. SIAM Journal of Computing 18 6 (1989) 1245-1262
3. Shasha D., and Zhang K. Approximate tree pattern matching. Pattern Matching in Strings, Trees and Arrays (1995), Oxford University Press (Chapter 14)
4. S. Chawathe, A. Rajaraman, H. Garcia-Molina, J. Widom, Change detection in hierarchically structured information, in: Proceedings ACM SIGMOD, Canada, 1996, pp. 26-37
5. G. Cobéna, S. Abiteboul, A. Marian, Detecting changes in XML documents, in: Proceedings of the IEEE International Conference on Data Engineering, 2002, pp. 41-52
6. S. Chawathe, Comparing hierarchical data in external memory, in: Proceedings of the VLDB Conference, 1999, pp. 90-101
7. A. Nierman, H.V. Jagadish, Evaluating structural similarity in XML documents, in: Proceedings of the 5th ACM SIGMOD International Workshop on the Web and Databases, WebDB, 2002, pp. 61-66
8. Dalamagas T., Cheng T., Winkel K., and Sellis T. A methodology for clustering XML documents by structure. Information Systems 31 3 (2006) 187-228
9. Tekli J., Chbeir R., and Yetongnon K. Structural similarity evaluation between XML documents and DTDs. Proceedings of the 8th International Conference on Web Information Systems Engineering, WISE'07. Nancy, France. LNCS vol. 4831 (2007), Springer-Verlag, Berlin Heidelberg 196-201
10. N. Fuhr, K. Großjohann, XIRQL: A Query Language for Information Retrieval. In: Proceedings of ACM-SIGIR, New Orleans, 2001, pp. 172-180
11. Chinenyanga T.T., and Kushmerick N. An expressive and efficient language for XML information retrieval. Journal of the American Society for Information Science 53 6 (2002) 438-453
12. T. Grabs, H.-J. Schek, Generating vector spaces on-the-fly for flexible XML retrieval, in: Proceedings of ACM SIGIR'02 Workshop on XML and information Retrieval, 2002, pp. 4-13
13. D. Carmel, N. Efraty, G.M. Landau, Y.S. Maarek, Y. Mass, An extension of the vector space model for querying XML documents via XML fragments, in: Proceedings of the ACM SIGIR'02 Workshop on XML and Information Retrieval, 2002, pp. 14-25
14. Schlieder T., and Meuss H. Querying and ranking XML documents. Journal of the American Society for Information Science, Spec. Top. XML/IR 53 6 (2002) 489-503
15. S. Amer-Yahia, L.K.S. Lakshmanan, S. Pandit, FleXPath: Flexible structure and full-text querying for XML, in: Proceedings of ACM SIGMOD, 2004 pp. 83-94
16. Pokorny J., and Rejlek V. A matrix model for XML data. In: Barzdins J., and Caplinskas A. (Eds). Databases and information systems. (Selected Papers from the Sixth International Baltic Conference DB&IS'2004). Frontiers in Artificial Intelligence and Applications vol. 118 (2005), IOS Press 53-64
17. D. Buttler, A short survey of document structure similarity algorithms, in: Proceedings of the 5th International Conference on internet Computing, USA, 2004, pp. 3-9
18. H.P. Kriegel, S. Schönauer, Similarity search in structured data, in: Proceedings of the 5th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 03, Czech Republic, 2003, pp. 309-319
19. Lian W., Cheung D., Mamoulis N., and Yiu S.M. An efficient and scalable algorithm for clustering XML documents by structure. IEEE Transactions on Knowledge and Data Engineering 16 1 (2004) 82-96
20. D. Rafiei, D. Moise, D. Sun, Finding syntactic similarities between XML documents, in: Proceedings of the 17th International Conference on Database and Expert Systems Applications, DEXA, 2006, pp. 512-516
21. S. Joshi, N. Agrawal, R. Krishnapuram, S. Negi, A bag of paths model for measuring structural similarity in web documents, in: Proceedings of the ACM SIGKKD Conference on Knowledge Discovery and Data Mining, USA, 2003, pp. 577-582
22. S. Flesca, G. Manco, E. Masciari, L. Pontieri, A. Pugliese, Detecting structural similarities between XML documents, in: Proceedings of the 5th International ACM SIGMOD Workshop on The Web and Databases, WebDB, 2002, pp. 55-60
23. S. Helmer, Measuring the structural similarity of semistructured documents using entropy, in: Proceedings of the VLDB'07 Conference, 2007, pp. 1022-1032
24. I. Sanz, M. Mesiti, G. Guerrini, R. Berlanga Lavori, Approximate subtree identification in heterogeneous XML documents collections, in: XML Symposium, 2005, pp. 192-206
25. Bertino E., Guerrini G., and Mesiti M. A matching algorithm for measuring the structural similarity between an XML documents and a DTD and its applications. Elsevier Computer Science 29 (2004) 23-46
26. Liang W., and Yokota H. LAX: An efficient approximate XML join based on clustered leaf nodes for XML data integration. Proceedings of BNCOD'05. LNCS vol. 3567 (2005), Springer 82-97
27. A.M. Kade, C.A. Heuser, Matching XML documents in highly dynamic applications, in: Proceeding of the 8th ACM Symposium on Document Engineering, DocEng'08, Brazil, 2008, pp. 191-198
28. M. Weis, F. Naumann, Dogmatix tracks down duplicates in XML, in: Proceedings of the ACM SIGMOD Conference, USA, 2005, pp. 431-442
29. L. Leitao, P. Calado, M. Weis, Structure-based inference of XML similarity for fuzzy duplicate detection, in: Proceedings of the 16th ACM Conference on Information and Knowledge Management, CIKM'07, Portugal, 2007, pp. 293-302
30. C.F. Dorneles, C.A. Heuser, A.E.N. Lima, A.S. da Silva, E.S. de Moura, Measuring similarity between collections of values, in: Proceedings of the ACM international Workshop on Web Information and Data Management, USA, 2004, pp. 56-63
31. D. Fallside, P. Walmsley, XML Schema part 0: Primer second edition W3C, October 2004. http://www.w3.org/TR/xmlschema-0/
32. WWW consortium, The Document Object Model. http://www.w3.org/DOM
33. Z. Zhang, R. Li, S. Cao, Y. Zhu, Similarity metric in XML documents, in: Knowledge Management and Experience Management Workshop, Germany, 2003
34. S. Guha, H.V. Jagadish, N. Koudas, D. Srivastava, T. Yu, Approximate XML joins, in: Proceedings of ACM SIGMOD, 2002, pp. 287-298
35. T. Schlieder, Similarity search in XML data using cost-based query transformations, in: Proceedings of the 4th ACM SIGMOD International Workshop on the Web and Databases, WebDB, 2001, pp. 19-24
36. Levenshtein V. Binary codes capable of correcting deletions, insertions and reversals. Soviet Physics Doklady 6 (1966) 707-710
37. Wagner J., and Fisher M. The string-to-string correction problem. Journal of the Association of Computing Machinery 21 1 (1974) 168-173
38. Wong C., and Chandra A. Bounds for the string editing problem. Journal of the Association for Computing Machinery 23 1 (1976) 13-16
39. S. Chawathe, H. Garcia-Molina, Meaningful change detection in structured data, in: Proceedings of ACM SIGMOD, 1997, pp. 26-37
40. Myers E. An O(ND) difference algorithm and its variations. Algorithmica 1 2 (1986) 251-266
41. J. Tekli, R. Chbeir, K. Yetongnon, Semantic and structure based XML similarity: An Integrated Approach, in: Proceedings of the 13th Interventional Conference on Management of Data, COMAD'06, New Delhi, India, 2006, pp. 32-43
42. Aho A., Hirschberg D., and Ullman J. Bounds on the complexity of the longest common subsequence problem. Association for Computing Machinery 23 1 (1976) 1-12
43. Salton G. The SMART Retrieval System (1971), Prentice Hall, New Jersey
44. Boughanem M. Introduction to information retrieval. Proceedings of EARIA 06 (Ecole d'Automne en Recherche d'Information et Application) (2006) (Chapter 1)
45. Rijsbergen Van C.J. Information Retrieval (1979), Butterworths, London
46. Agrawal R., Faloutsos C., and Swami A.N. Efficient similarity search in sequence databases. Proceedings of the 4th International Conference on the Foundations of Data Organization and Algorithms, FODO'93 (1993), Springer Verlag 69-165
47. Roussopoulos N., Kelley S., and Vincent F. Nearest neighbor queries. Proceedings of ACM SIGMOD (1995), ACM Press 71-79
48. Salton G., and Mcgill M.J. Introduction to Modern Information Retrieval (1983), McGraw-Hill, Tokio
49. Lee J.H. Properties of extended Boolean models in information retrieval. Proceedings of the ACM SIGIR Conference (1994), Springer-Verlag, New York 182-190
50. Fuhr N. Probabilistic models in information retrieval. The Computer Journal 35 3 (1992) 243-255
51. Deerwester S., Dumais S., Furnas G., Landauer T., and Harshman R. Indexing by latent semantic analysis. Journal of the American Society for Information Science 41 6 (1990) 391-407
52. Amati G., and Van Rijsbergen C.J. Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM Transactions on Information Systems 20 4 (2002) 357-389
53. W. Cohen, Integration of heterogeneous databases without common domains using queries based on textual similarity, in: Proceedings of ACM SIGMOD, 1998, pp. 291-211
54. A. Doucet, L. Aunimo, M. Lehtonen, R. Petit, Accurate retrieval of XML document fragments using EXTRIP, in: Proceedings of the Workshop of the Initiative for the Evaluation of XML Retrieval, INEX'2003
55. Ganesan P., Garcia-Molina H., and Windom J. Exploiting hierarchical domain structure to compute similarity. ACM Transactions on Information Systems, TOIS 21 1 (2003) 64-93
56. D. Lin, An information-theoretic definition of similarity, in: Proceedings of the 15th International Conference on Machine Learning, 1998, pp. 296-304
57. Salton G., and Buckley C. Term-weighting approaches in automatic text retrieval. Information Processing and Management: An International Journal 24 5 (1988) 513-523
58. A. Marian, S. Amer-Yahia, N. Koudas, D. Srivastava, Adaptive processing of Top-k queries in XML, in: Proceedings of the ICDE Conference, 2005, pp. 162-173
59. Hirschberg D.S. A linear space algorithm for computing maximal common subsequences. Communications of the ACM 18 6 (1975) 341-343
60. H. Meuss, Logical tree matching with complete answer aggregates for retrieving structured documents, Ph.D. Thesis, University of Munich, 2000
61. R. Goldman, J. Widom, DataGuides: Enabling query formulation and optimization in semistructured databases, in: Proceedings of the VLDB Conference, 1997, pp. 436-445
62. A.Z. Broder, On the Resemblance and Containment of Documents, in: Proceedings of Compression and Complexity of SEQUENCES, 1997, pp. 21-29
63. L. Candillier, I. Tellier, F. Torre, Transforming XML trees for efficient classification and clustering, in: Proceedings of the Workshop of the Initiative for the Evaluation of XML Retrieval, INEX'05, 2005, pp. 469-480
64. R. Quinlan, Data mining tools see5 and c5.0, 2004
65. Candillier L., Tellier I., Torre F., and Bouquet O. SSC: Statistical clustering. In: Perner P., and Imiya A. (Eds). 4th International Conference on Machine Learning and Data Mining in Pattern Recognition. LNCS vol. LNAI 3587 (2005) 100-109
66. A. Marian, S. Abiteboul, L. Mignet, Change-centric management of versions in an XML warehouse, in: Proceedings of the VLDB Conference, 2001, pp. 581-590
67. Y. Wang, D.J. Dewitt, J.Y. Cai, X-Diff: An effective change detection algorithm for XML documents, in: Proceedings of the ICDE Conference, 2003, pp. 519-530
68. N. Webber, C. O'connel, B. Hunt, R. Levine, L. Popkin, G. Larose, The information and content exchange (ICE) protocol, 2000. http://www.w3.org/TR/NOTE-ice
69. B. Nguyen, S. Abiteboul, G. Cobena, M. Preda, Monitoring XML data on the web, in: Proceedings of ACM SIGMOD, 2001, pp. 437-448
70. H. Schöning, Tamoni-A DBMS designed for XML, in: Proceedings of the ICDE Conference, 2001, pp. 149-154
71. M. Garofalakis, A. Gionis, R. Rastogi, S. Seshadrt, K. Shim, Xtract: A system for extracting document type descriptors form XML documents, in: Proceedings of ACM SIGMOD, 2000, pp. 165-176
72. S. Guha, N. Koudas, D. Srivastava, T. Yu, Index-based approximate XML joins, in: Proceedings of the ICDE Conference, 2003, pp. 708-710
73. Liang W., and Yokota H. SLAX: An improved leaf-clustering based approximate XML join algorithm for integrating XML data at subtree classes. Transactions of Information Processing Society of Japan 47 (2006) 47-57
74. Deutsch A., Fernandez M., Florescu D., Levy A., and Suciu D. XML-QL: A query language for XML. Computer Networks 31 11-16 (1999) 1155-1169
75. J. Robie, XQL (XML Query Language), 1999. http://metalab.unc.edu/xql/xql-proposal.xml
76. D. Chamberlin, D. Florescu, J. Robie, J. Simeon, M. Stefanescu, XQuery: A query language for XML, 2001. http://www.w3.org/TR/2001/WD-xquery-20010215
77. Cohen W. WHIRL: A word-based information representation language. Journal of Artificial Intelligence 118 (2000) 163-196
78. A. Theobald, G. Weikum, Adding relevance to XML, in: Proceedings of the 3rd International Workshop on the Web Databases, WebDB'00, USA, 2000, pp. 105-124
79. J.-M. Bremer, M. Gertz, XQuery/IR: Integrating XML document and data retrieval, in: Proceedings of the 5th ACM SIGMOD International Workshop on the Web and Databases, WebDB'02, 2002, pp. 1-6
80. A.G. Maguitman, F. Menczer, H. Roinestad, A. Vespignani, Algorithmic detection of semantic similarity, in: Proceedings of the 14th International WWW Conference, Japan, 2005, pp. 107-116
81. Schenkel R., Theobald A., and Weikum G. Semantic similarity search on semistructured data with the XXL search engine. Information Retrieval 8 (2005) 521-545
82. Miller G. WordNet: An on-line lexical database. International Journal of Lexicography 3 (1990) 235-244
83. Manning C.D., Raghavan P., and Schütze H. Introduction to Information Retrieval (2008), Cambridge UP