towards a content-based materials science discovery network | 1 emily c. leblanc
TRANSCRIPT
TOWARDS A CONTENT-BASED MATERIALS SCIENCE DISCOVERY
NETWORK
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Emily C. LeBlanc
MATERIALS SCIENCE AND SOCIETY
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EXPEDITING THE DISCOVERY OF NEW MATERIALS
• Data Transparency and Integration– Scientists require access to the largest possible
datasets on which to base their models • Many materials science databases…and
many unique formats for queries and results
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CONTENT-BASED MATERIALS SCIENCE DISCOVERY NETWORK• Sophisticated ontological framework
overlaying materials science databases• A content-based networking context allows
for intelligent routing of scientific content to interested parties
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A MATERIALS SCIENCE ONTOLOGY AND METADATA• An ontology provides the
metadata vocabulary for materials science content
• Well defined ontological structure aids in discovery of relationships among content
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ONTOLOGICAL STRUCTURE
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CONTENT-BASED NETWORKING• Content is addressed by name/type (metadata)
instead of location of host machines• Receiver declares interest in a file type• Content providers inject tagged files without
knowing the destination• Network is responsible for routing content
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CONTENT-BASED DISCOVERY NETWORK
• Employ the ontology in a content-based network federating materials science databases
• Scientists can receive relevant and up to date information about interests (materials, experiments, etc.) via queries and subscriptions
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COGNITIVE SYSTEM(CS) FOR MATERIALS SCIENTISTS
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• Example: Siri• A CS can process and
decompose complex natural language questions
• CS can search vast repositories of scientific literature and experimental data