TOWARDS A CONTENT-BASED MATERIALS SCIENCE DISCOVERY NETWORK | 1 Emily C. LeBlanc.

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