The Clio project: managing heterogeneity
ACM SIGMOD Record
Static validation of dynamically generated HTML
PASTE '01 Proceedings of the 2001 ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering
XRel: a path-based approach to storage and retrieval of XML documents using relational databases
ACM Transactions on Internet Technology (TOIT)
Distributed query evaluation on semistructured data
ACM Transactions on Database Systems (TODS)
The Nimble XML Data Integration System
Proceedings of the 17th International Conference on Data Engineering
Using Schema Matching to Simplify Heterogeneous Data Translation
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Towards heterogeneous multimedia information systems: the Garlic approach
RIDE '95 Proceedings of the 5th International Workshop on Research Issues in Data Engineering-Distributed Object Management (RIDE-DOM'95)
Semi-Automatic, Semantic Discovery of Properties from Database Schemes
IDEAS '98 Proceedings of the 1998 International Symposium on Database Engineering & Applications
Data integration through database federation
IBM Systems Journal
Information integration: A research agenda
IBM Systems Journal
Biological data integration: wrapping data and tools
IEEE Transactions on Information Technology in Biomedicine
Towards a database for genotype-phenotype association research: mining data from encyclopaedia
International Journal of Data Mining and Bioinformatics
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This paper presents a user-centric biological query system for information integration and knowledge acquisition from distributed, semantically heterogeneous data sources. The proposed system, BioXBase, extracts user requested query information over the internet from multiple biological sources and organises this information into a homogeneous unified view to the user. This entire process is done in real time on-the-fly. The BioXBase system has improved the results retrieved by 30% compared to a system that has only a local database. The BioXBase system is further enhanced by 20% while combining the results with a local database, making the results more significant in biological domain.