MANUFACTURING community of practice: Difference between revisions

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[http://ichs.ucsf.edu/open-knowledge-network/ Open Knowledge Networks] (OKN)
[http://ichs.ucsf.edu/open-knowledge-network/ Open Knowledge Networks] (OKN 3rd Workshop))


:What is the state-of-the-art for open knowledge networks in MANUFACTURING?
[https://www.nitrd.gov/nitrdgroups/index.php?title=Open_Knowledge_Network NITRD]


:What are some driving research questions that will benefit from MANUFACTURING OKN?
:What is the state-of-the-art for open knowledge networks in manufacturing?


:What are some driving commercial or consumer questions that will benefit from MANUFACTURING OKN
: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?
: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)?
::See under use cases
 
:How is manufacturing different from other practices (biomedical, health, GEO, finance, self-driving vehicles, etc)?


::The manufacturing industry uses sophisticated CAD software, but the model-based design paradigm has not been extended to other areas such as materials, supply chain management, product life cycle, and so foth.  
::The manufacturing industry uses sophisticated CAD software, but the model-based design paradigm has not yet been successfully extended to other areas, such as materials, supply chain management, product life cycle, and so forth. See on this:
::DMDII-15-11 [http://www.uilabs.org/project/dmdii-15-11-completing-the-model-based-definition/ Completing the Model-Based Definition]


: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 Community of Practice'''
::The Industry Ontologies Foundry (see below) is an initiative to replicate in the manufacturing context some of the successes of ontology in the bioinformatics domain
 
'''Manufacturing Community of Practice'''
 
:[http://ontology.buffalo.edu/smith Barry Smith] (Lead), [http://ncor.us National Center for Ontological Research]


:[http://ontology.buffalo.edu/smith Barry Smith], [http://ncor.us National Center for Ontological Research]
::[https://buffalo.box.com/s/vb1fypiv4zjjeefvmhpt4slw7izfyc76 Slides 1]
::[https://buffalo.box.com/s/8ceyq4a6kb9761k9eheb0um56xb17gvd Slides 2]


:[https://www.linkedin.com/in/jmilinovich/ John Milinovich], Pinterest
:[https://www.linkedin.com/in/jmilinovich/ John Milinovich], Pinterest
:[https://www.linkedin.com/in/alessandrooltramari/ Alessandro Oltramari], Bosch


:[https://www.linkedin.com/in/bill-regli-083552/ William Regli], DARPA
:[https://www.linkedin.com/in/bill-regli-083552/ William Regli], DARPA
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:[https://www.nist.gov/people/ram-d-sriram Ram Sriram], NIST
:[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
:[https://www.energy.gov/eere/amo/articles/welcome-dr-sudarsan-rachuri Sudarsan Rachuri], DOE
 
'''Existing related initiatives from the manufacturing domain'''
 
The [http://ncorwiki.buffalo.edu/index.php/Industry_Ontology_Foundry:_ASME_Workshop_2017 Industry Ontologies Foundry]


'''Existing (mostly public) datasets'''
'''Related initiatives in the manufacturing domain'''


----
'''Use cases'''  
'''Use cases'''  


Use cases span the following broad areas:  
Use cases span the following broad areas:  


:Manufacturing Capabilities (of companies, of manufacturing equipment, of sensors, ...)
:Smart Manufacturing
::Large and small companies are creating or buying software tools to support different aspects of model-based development in addition to CAD
::The problem is that these software tools are rarely interoperable, and so digital workflows break where communication is needed with vendors or suppliers, or even across distinct divisions within a single enterprise
::The Industry Ontologies Foundry ([http://ncorwiki.buffalo.edu/index.php/Industry_Ontology_Foundry:_ASME_Workshop_2017 IOF]) is a consortium of government (NIST, Air Force Research Lab), commercial and academic groups interested in addressing this problem by developing a suite of small modular ontologies constructed by analogy with the [http://obofoundry.org OBO Foundry] in the field of biomedicine. Ontologies proposed for inclusion in the suite include:
::MatOnto (Materials Ontology)
:::On-going AFRL work (Clare Paul, Wright-Patt) to create a MatOnto, a large materials science ontology growing out of the Materials Genome Initiative
::Product Life Cycle Ontology
:Manufacturing Capabilities (of companies, of manufacturing equipment, of sensors, of persons ...)
::Use case: classification of suppliers, screening to select suitable suppliers (risk mitigation in supply-chain management -- for example when accepted bidder might drop out)
::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)
::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)
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:::[http://ws680.nist.gov/publication/get_pdf.cfm?pub_id=902775 OntoSTEP]
:::[http://ws680.nist.gov/publication/get_pdf.cfm?pub_id=902775 OntoSTEP]
::Can we convert this activity into an ontology-based OKN?
::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
:Workforce development
::Here again a treatment of relevant capabilities data would potentially bring benefits
::(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.  
::(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
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'''Examples of questions the OKN methods might be able to answer'''
'''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
:One goal is to develop automatically short reports / wikipedia article specific to the question being queried


'''What open data already exist?'''
'''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?
: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?

Latest revision as of 17:21, 8 October 2017

Open Knowledge Networks (OKN 3rd Workshop))

NITRD

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?
See under use cases
How is manufacturing different from other practices (biomedical, health, GEO, finance, self-driving vehicles, etc)?
The manufacturing industry uses sophisticated CAD software, but the model-based design paradigm has not yet been successfully extended to other areas, such as materials, supply chain management, product life cycle, and so forth. See on this:
DMDII-15-11 Completing the Model-Based Definition
What do we share with other domains? How can we benefit from this synergy?
The Industry Ontologies Foundry (see below) is an initiative to replicate in the manufacturing context some of the successes of ontology in the bioinformatics domain

Manufacturing Community of Practice

Barry Smith (Lead), National Center for Ontological Research
Slides 1
Slides 2
John Milinovich, Pinterest
Alessandro Oltramari, Bosch
William Regli, DARPA
Ram Sriram, NIST
Sudarsan Rachuri, DOE

Related initiatives in the manufacturing domain

Use cases

Use cases span the following broad areas:

Smart Manufacturing
Large and small companies are creating or buying software tools to support different aspects of model-based development in addition to CAD
The problem is that these software tools are rarely interoperable, and so digital workflows break where communication is needed with vendors or suppliers, or even across distinct divisions within a single enterprise
The Industry Ontologies Foundry (IOF) is a consortium of government (NIST, Air Force Research Lab), commercial and academic groups interested in addressing this problem by developing a suite of small modular ontologies constructed by analogy with the OBO Foundry in the field of biomedicine. Ontologies proposed for inclusion in the suite include:
MatOnto (Materials Ontology)
On-going AFRL work (Clare Paul, Wright-Patt) to create a MatOnto, a large materials science ontology growing out of the Materials Genome Initiative
Product Life Cycle Ontology
Manufacturing Capabilities (of companies, of manufacturing equipment, of sensors, of persons ...)
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?
Workforce development
Here again a treatment of relevant capabilities data would potentially bring benefits
(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

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?
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