MANUFACTURING community of practice: Difference between revisions

From NCOR Wiki
Jump to navigationJump to search
mNo edit summary
mNo edit summary
Line 13: Line 13:
:What do we share with other domains? How can we benefit from this synergy?
:What do we share with other domains? How can we benefit from this synergy?


'''MANUFACTURING breakout participants'''
'''MANUFACTURING Community of Practice'''


[http://ontology.buffalo.edu/smith Barry Smith], [http://ncor.us National Center for Ontological Research]
[http://ontology.buffalo.edu/smith Barry Smith], [http://ncor.us National Center for Ontological Research]


[https://www.nist.gov/people/ram-d-sriram Ram Sriram], NIST
[https://www.linkedin.com/in/jmilinovich/ John Milinovich], Pinterest
 
[https://www.energy.gov/eere/amo/articles/welcome-dr-sudarsan-rachuri Ruchari Sudarsan], DOE


[https://www.linkedin.com/in/bill-regli-083552/ William Regli], DARPA
[https://www.linkedin.com/in/bill-regli-083552/ William Regli], DARPA


[https://www.linkedin.com/in/jmilinovich/ John Milinovich], Pinterest
[https://www.nist.gov/people/ram-d-sriram Ram Sriram], NIST


[https://www.energy.gov/eere/amo/articles/welcome-dr-sudarsan-rachuri Ruchari Sudarsan], DOE


'''Existing ontologies or taxonomies from manufacturing and related domains'''
'''Existing ontologies or taxonomies from manufacturing and related domains'''
Line 48: Line 47:
::On-going AFRL work (Clare Paul, Wright-Patt) to create a MatOnto, a large materials science ontology growing out of the Materials Genome Initiative
::On-going AFRL work (Clare Paul, Wright-Patt) to create a MatOnto, a large materials science ontology growing out of the Materials Genome Initiative
:Workforce development
:Workforce development
::(from OKN Finance CoI) Creating many economic datasets based on social media, e.g., “i lost my job” to approximate something about the labor market.  
::(from OKN Finance CoP) Creating many economic datasets based on social media, e.g., “i lost my job” to approximate something about the labor market.  
:Patents
:Patents
::Use case: to enable enhanced patent search resolving terminological inconsistencies
::Use case: to enable enhanced patent search resolving terminological inconsistencies

Revision as of 16:11, 30 September 2017

Open Knowledge Networks (OKN)

What is the state-of-the-art for open knowledge networks in MANUFACTURING?
What are some driving research questions that will benefit from MANUFACTURING OKN?
What are some driving commercial or consumer questions that will benefit from MANUFACTURING OKN
What are the gaps, why do they exist, and how do we address them?
How is MANUFACTURING different from other practices (biomedical, health, GEO, finance, self-driving vehicles, etc)?
What do we share with other domains? How can we benefit from this synergy?

MANUFACTURING Community of Practice

Barry Smith, National Center for Ontological Research

John Milinovich, Pinterest

William Regli, DARPA

Ram Sriram, NIST

Ruchari Sudarsan, DOE

Existing ontologies or taxonomies from manufacturing and related domains

Existing (mostly public) Datasets

Use cases

Use cases span the following broad areas:

Manufacturing Capabilities (of companies, of manufacturing equipment, of sensors, ...)
Use case: classification of suppliers, screening to select suitable suppliers (risk mitigation in supply-chain management -- for example when accepted bidder might drop out)
In progress: scraping information on the webpages of manufacturing companies and mapping terms identified to ontologies to enable reasoning (Farhad Ameri, Collaborative agreement between NIST and Texas State)
Can we create wikipedia-like pages for each company from this activity?
Manufacturing Readiness Levels (MRL) of interest also to DOD
Manufacturing Processes
Manufactured Products
So far what exists are primarily NLP-based attempts to identify emerging trends in customer needs or markets for example from the study of Amazon reviews of products
Standard for the Exchange of Product Model Data (STEP)
OntoSTEP
Can we convert this activity into an ontology-based OKN?
Materials
On-going AFRL work (Clare Paul, Wright-Patt) to create a MatOnto, a large materials science ontology growing out of the Materials Genome Initiative
Workforce development
(from OKN Finance CoP) Creating many economic datasets based on social media, e.g., “i lost my job” to approximate something about the labor market.
Patents
Use case: to enable enhanced patent search resolving terminological inconsistencies
Focus on the patent system
Retrieval of patent information
Comparison of International Patent Classification (IPC) with MeSH
Robots
Probably not enough data in the public domain to enable a useful OKN for robot use in manufacturing at this stage

Examples of questions the OKN methods might be able to answer

One goal is to develop automatically short reports / wikipedia article specific to the question being queried

Methodology: Federation with mappings or coordinated development?

Role of Industry Ontology Foundry

What open data already exist?

What are the questions that are being asked to the data? How is the answer currently discovered? Which datasets are consulted to find the answer?