ISSN 2996-8223
International Journal of Computer Science and Technology | Vol. 8, No. 1, January 2006 | pp. 1–8
DOI: 10.46882/2006/IJCST/080116
Research Article
Title: Holistic Schema Matching in Large-Scale XML Repositories Using Semantic Similarity Measures
Names of Authors: Jean-Luc Moreau¹, Yukihiro Sato²
Authors’ Affiliations: ¹Laboratoire d'Informatique Graphique, Université de Lyon, Lyon, France; ²Department of Information Science, Kyoto University, Kyoto, Japan
Abstract:
Integrating structural data across heterogeneous web repositories requires mapping schemas that use different naming conventions and hierarchical designs. This paper develops a holistic schema matching framework for XML documents that analyzes both element labels and contextual data structures. The system computes semantic similarity scores by mapping element terms onto WordNet taxonomies, while structural constraints are evaluated using a modified tree-edit distance algorithm. The framework was evaluated against a benchmark dataset of 50 enterprise XML schemas from the e-commerce sector. The proposed matcher achieved an overall precision rating of P = 89.2% and an F-measure score of 86.5%, outperforming baseline linguistic matchers by 14.8%. The runtime execution complexity was successfully restricted to O(N²) relative to tree node density. This reduction allows the system to discover complex data correspondences in large enterprise data warehouses without requiring extensive manual corrections.
Keywords: Schema Matching, XML Databases, Semantic Web, Data Integration, WordNet Taxonomy
Manuscript Timeline: Received October 12, 2005; Revised November 28, 2005; Accepted December 18, 2005; Published January 24, 2006
Citation: Moreau, J. L., & Sato, Y. (2006). Holistic Schema Matching in Large-Scale XML Repositories Using Semantic Similarity Measures. International Journal of Computer Science and Technology, 8(1), 1–8.
Subscribe to read the full article: https://www.internationalscholarsjournals.org/subscribe-to-read