material genome initiative: material science ontology purusharth prakash, anupam joshi, tim finin,...
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![Page 1: Material Genome Initiative: Material Science Ontology Purusharth Prakash, Anupam Joshi, Tim Finin, Don Engel IAB Meeting Research Report 12/18/12CHMPR](https://reader038.vdocument.in/reader038/viewer/2022103112/551aa0c855034656628b45fc/html5/thumbnails/1.jpg)
CHMPR IAB 2012 1
Material Genome Initiative: Material Science OntologyPurusharth Prakash, Anupam Joshi, Tim Finin, Don Engel
IAB Meeting Research Report
12/18/12
![Page 2: Material Genome Initiative: Material Science Ontology Purusharth Prakash, Anupam Joshi, Tim Finin, Don Engel IAB Meeting Research Report 12/18/12CHMPR](https://reader038.vdocument.in/reader038/viewer/2022103112/551aa0c855034656628b45fc/html5/thumbnails/2.jpg)
CHMPR IAB 2012 2
Material Genome Initiative (MGI)• New materials critical to advancements in numerous
disciplines e.g. healthcare, security, energy
• MGI focus on accelerating the discovery and development of new materials and alloys.
• First goal to reduce development time by 50%
• This project part of the initiative
12/18/12
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New Material Design
• Current development cycles can take 10-20 years to develop and deploy a new material
• Requires accurate and reliable data. Each lab manually curates datasets.
• Crucial for researchers to have the largest possible dataset
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Motivation• Datasets can be annotated and unified in a generic
way using Ontologies
• Common vocabularies will make future data more accessible
• Wiki based community and interface to make information more accessible and easy to update
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CHMPR IAB 2012 5
CALPHAD Method
• CALculation of PHase Diagrams
• Semi-empirical method for the calculation of phase equilibria and thermochemical properties in multi-component systems
• Method has been extended to describe other phase-based properties– Diffusion– Molar volume
• Essential tool for Int. Computational Materials Engineering (ICME)
05/31/13
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Objectives
• Design a material science ontology• Deploy semantic wiki based interface • Perform consistency check on datasets • Automate data annotation and integration• Process linked scientific data
• Evaluate data using requirement rules (CALPHAD)• SPARQL queries
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Existing Science and Engineering Ontologies and Vocabularies
• CheBI• NASA SWEET• Systems Biology Ontology• MathML• MatML• ThermoML
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Limitations of Current Ontologies
• Lack of well-designed fundamental ontologies for scientific data
• Existing ontologies are large and domain specific– Difficult to separate from domain specific
components
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Ontology Design Steps
• Create a generic top-level ontology– Widely applicable across material science data– Identify core relationships and hierarchy in scientific
data• Create Specific ontology for CALPHAD design
– e.g., Ability to represent the phase diagram data of multi-component systems
• Reuse existing vocabularies
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Current Top-level Ontology
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Substance Ontology
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Modeling of concepts
• Identify fundamental relationships and concepts in scientific data
• Property subclasses– Intrinsic material properties e.g. Atomic Number– Macroscopic thermodynamic state e.g. Phase
• Critical to scalability and modularization of the ontology
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Material Structure Ontology
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CHMPR IAB 2012 14
Current Status• Completed
– Core ontology to describe material properties• Ongoing work
– Identifying material science use cases– Developing the measurement and units
component of the ontology– Transform data sets and create triple store– Deploy the semantic wiki web interface
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Questions?
12/18/12