Current data systems catalog and link data using a synthetic modeling approach that requires much domain knowledge in order to interact with the system. Domain knowledge includes what keyword to look for and how data artifacts are linked. OSCAR offers a semantic solution to data management by using ontology and reasoning. Information is automatically linked according to its internal ontology. An internal ontological reasoning engine handles information inference. Artifacts are linked by information mined from the input metadata and reasoned according to the internal ontology.
OSCAR is designed from the ground up in accordance to the RESTful service architecture. Key components of OSCAR include a framework for handling RDF/OWL data (including reasoning), a repository for reliable store and retrieval of data, a fast indexed search, and security architecture to support authentication, authorization, and communication. OSCAR has been implemented using JAVA to maximize portability, and was designed and developed to leverage industry-standard open source components.
This work was done by Thomas Huang, Nga T. Quach, and Rudranarayan M. Mukherjee of Caltech for NASA’s Jet Propulsion Laboratory. This software is available for commercial licensing. Please contact Dan Broderick at
This Brief includes a Technical Support Package (TSP).
Ontological System for Context Artifacts and Resources (OSCAR)
(reference NPO49088) is currently available for download from the TSP library.
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Overview
The document is a Technical Support Package from the National Aeronautics and Space Administration (NASA), specifically from the Jet Propulsion Laboratory (JPL) at the California Institute of Technology. It outlines various projects and initiatives aimed at enhancing the understanding and application of Earth and environmental science through advanced information modeling and ontological systems.
Key highlights include the Semantic Web for Earth and Environmental Terminology (SWEET), which facilitates the scalable classification of concepts within Earth system science and has been expanded to include space science. This initiative promotes the reuse of knowledge by allowing for the import, expansion, and specialization of existing frameworks, initially developed to capture relationships between Global Change Master Directory (GCMD) keywords.
Another significant project mentioned is the Adaptive Vehicle Make (AVM), which focuses on developing adaptable vehicle systems. The document also discusses the Component, Context and Manufacturing Model Library (C2M2L), which aims to provide a structured approach to managing and utilizing various models in simulations related to environmental contexts.
The Context Model Library is designed to create a web application with a RESTful interface that links environmental contexts with models and requirements. It aims to facilitate guided discovery of associated models for simulation purposes and includes functionalities for creating, reading, updating, and deleting (CRUD) archival data.
The document emphasizes a multifaceted approach to data management, highlighting the importance of ontologies in organizing and interpreting complex information. This approach is crucial for ensuring that data is accessible and usable across different scientific domains.
Overall, the Technical Support Package serves as a resource for understanding the advancements in aerospace-related technologies and their potential applications in various fields. It underscores NASA's commitment to innovation and the transfer of technology for broader scientific and commercial use. For further inquiries or assistance, the document provides contact information for the Innovative Technology Assets Management at JPL, encouraging collaboration and exploration of these technological advancements.
