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Data Model Management for Space Information SystemsThe Reference Architecture for Space Information Management (RASIM) suggests the separation of the data model from software components to promote the development of flexible information management systems. RASIM allows the data model to evolve independently from the software components and results in a robust implementation that remains viable as the domain changes. However, the development and management of data models within RASIM are difficult and time consuming tasks involving the choice of a notation, the capture of the model, its validation for consistency, and the export of the model for implementation. Current limitations to this approach include the lack of ability to capture comprehensive domain knowledge, the loss of significant modeling information during implementation, the lack of model visualization and documentation capabilities, and exports being limited to one or two schema types. The advent of the Semantic Web and its demand for sophisticated data models has addressed this situation by providing a new level of data model management in the form of ontology tools. In this paper we describe the use of a representative ontology tool to capture and manage a data model for a space information system. The resulting ontology is implementation independent. Novel on-line visualization and documentation capabilities are available automatically, and the ability to export to various schemas can be added through tool plug-ins. In addition, the ingestion of data instances into the ontology allows validation of the ontology and results in a domain knowledge base. Semantic browsers are easily configured for the knowledge base. For example the export of the knowledge base to RDF/XML and RDFS/XML and the use of open source metadata browsers provide ready-made user interfaces that support both text- and facet-based search. This paper will present the Planetary Data System (PDS) data model as a use case and describe the import of the data model into an ontology tool. We will also describe the current effort to provide interoperability with the European Space Agency (ESA)/Planetary Science Archive (PSA) which is critically dependent on a common data model.
Document ID
20060051523
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Hughes, J. Steven
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Crichton, Daniel J.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Ramirez, Paul
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Mattmann, chris
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 23, 2013
Publication Date
January 1, 2006
Subject Category
Computer Systems
Meeting Information
Meeting: SpaceOps Conference, Rome, Italy, June 19 - 23, 2006
Location: Rome
Country: Italy
Start Date: June 19, 2006
End Date: June 23, 2006
Distribution Limits
Public
Copyright
Other
Keywords
RDF
ontology
semantic technology
data model

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