Lineage retrieval for scientific data processing: a survey
ACM Computing Surveys (CSUR)
Merging Sets of Taxonomically Organized Data Using Concept Mappings under Uncertainty
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II
ModeleR: An enviromental model repository as knowledge base for experts
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
Abstract: The ecological sciences represent a challenging community from the perspective of scientific data management. Ecological data are collected by investigators who are spread out over a large geographic area and who are using a wide variety of research protocols and data handling techniques. The resulting heterogeneous data are stored in autonomous database systems that are dispersed throughout the ecological community. The Knowledge Network for Biocomplexity seeks to address these issues through the use of structured metadata encoded in Extensible Markup Language (XML). The main goal of this project has been to design and implement a schema-independent data storage system for XML which is called Metacat. Metacat uses a hybrid XML storage approach using a commercial RDBMS backend while still allowing any arbitrary XML document to be stored. This paper describes the Metacat XML data storage system and its relevance to scientific data management in the ecological sciences.