Information storage and retrieval
Information storage and retrieval
Distributed and Parallel Databases
Squeal: a structured query language for the Web
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
IEEE Internet Computing
Managing Scientific Metadata Using XML
IEEE Internet Computing
Supporting Dynamic Interactions among Web-Based Information Sources
IEEE Transactions on Knowledge and Data Engineering
Active Management of Scientific Data
IEEE Internet Computing
Metadata aggregation and "automated digital libraries": a retrospective on the NSDL experience
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Efficient mining of salinity and temperature association rules from ARGO data
Expert Systems with Applications: An International Journal
Association Analysis of Ocean Salinity and Temperature Variations
ICCIT '08 Proceedings of the 2008 Third International Conference on Convergence and Hybrid Information Technology - Volume 02
Temporal-spatial association analysis of ocean salinity and temperature variations
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Novel mediator architectures for Grid information systems
Future Generation Computer Systems
Improving Scientific Data Extraction Using Metadata Classification
ISPAN '09 Proceedings of the 2009 10th International Symposium on Pervasive Systems, Algorithms, and Networks
Metadata miner assisted integrated information retrieval for Argo ocean data
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A generic framework for data acquisition and transmission
Advances in Engineering Software
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Data extraction and information retrieval from a great volume of data set always is a tedious and difficult work. Therefore, an effective and efficient technology for searching for desired data becomes increasingly important. Since metadata with certain attributes may characterize data files, to extract data with the help of metadata can be expectably to simplify the work. Metadata Classification has been proposed to improve significantly the performance of scientific data extraction. In this paper, a scientific data extraction architecture based on the assistance of metadata classification mechanism is proposed. The architecture is built by utilizing mediator/wrapper architecture to develop a scientific data extracting system to help oceanographer analyzing ocean's ecology. The result of performance evaluation shows that the architecture with the help of metadata classification can extract user's desired data effectively and efficiently.