A protocol for scalable group and public annotations
Proceedings of the Third International World-Wide Web conference on Technology, tools and applications
Pan-browser support for annotations and other meta-information on the World Wide Web
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
A Conceptual Framework for Composing and Managing Scientific Data Lineage
SSDBM '02 Proceedings of the 14th International Conference on Scientific and Statistical Database Management
Lineage tracing for general data warehouse transformations
The VLDB Journal — The International Journal on Very Large Data Bases
Provenance management in curated databases
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Catalogue manager for metadata dissemination in the NetTraveler middleware system
International Journal of Intelligent Information and Database Systems
Management and storage of in situ oceanographic data: An ECM-based approach
Information Systems
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Earth observation technologies have developed rapidly during the last decades. Substantial amounts of earth observation data have been acquired and stored among the literature and databases of various research fields such as climatology, oceanography, agriculture, and ecology. Analysis and integration of such data might produce valuable data products to promote understanding of the global environment, and to solve global environmental issues. However, most institutions store and manage their Earth observation data in their own manner, with little metadata. Scientists have to struggle hard to search for valuable data from data out of their research domain and seek their usage. In this paper we introduce a conceptual model for earth observation data. Utilizing a model to express earth observation item associated with ontologies, The model is an simple quintuple with information extracted from conventional data models, and is used to uniquely determine portions of earth observation data, which enables flexible annotation of earth observation data. We also introduce our systems for metadata management and user interfaces for encouraging user annotations of earth observation data that can help scientists discover and understand useful data that can support their research.