Automated resolution of semantic heterogeneity in multidatabases
ACM Transactions on Database Systems (TODS)
Semantic integration of heterogeneous information sources
Data & Knowledge Engineering - Special issue on heterogeneous information resources need semantic access
Reconciling schemas of disparate data sources: a machine-learning approach
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
A Computational Biology Database Digest: Data, Data Analysis, and Data Management
Distributed and Parallel Databases
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
Semantic Integration in Heterogeneous Databases Using Neural Networks
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
On schema matching with opaque column names and data values
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Statistical schema matching across web query interfaces
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
iMAP: discovering complex semantic matches between database schemas
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
COMA: a system for flexible combination of schema matching approaches
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
WordNet: similarity - measuring the relatedness of concepts
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
SUSAX: Context-specific searching in XML documents using sequence alignment techniques
Data & Knowledge Engineering
Structural and semantic aspects of similarity of Document Type Definitions and XML schemas
Information Sciences: an International Journal
Double-layered schema integration of heterogeneous XML sources
Journal of Systems and Software
Mining for attributes and values in tables
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Minimizing user effort in XML grammar matching
Information Sciences: an International Journal
| Hi-index | 0.00 |
Integration of multiple heterogeneous data sources continues to be a critical problem for many application domains and a challenge for researchers world-wide. With the increasing popularity of the XML model and the proliferation of XML documents on-line, automated matching of XML documents and databases has become a critical issue. In this paper, we present a hybrid schema match algorithm, QMatch, that provides a unique path-based framework for harnessing traditional structural and semantic information, while exploiting the constraints inherent in XML documents such as the order of XML elements, to provide improved levels of matching between two given XML schemata. QMatch is based on the measurement of a unique quality of match metric, QoM, and a set of classifiers which together provide not only an effective basis for the development of a new schema match algorithm, but also a useful tool for tuning existing schema match algorithms to output at desired levels of matching. In this paper, we show via a set of experiments the benefits of the path-based QMatch over existing structural, linguistic, and hybrid algorithms such as Cupid, and provide an empirical measure of the accuracy of QMatch in terms of the true matches discovered by the algorithm.