[http://ichs.ucsf.edu/open-knowledge-network/ Open Knowledge Networks] (OKN 3rd Workshop)) [https://www.nitrd.gov/nitrdgroups/index.php?title=Open_Knowledge_Network 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 [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? ::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] ::[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/alessandrooltramari/ Alessandro Oltramari], Bosch :[https://www.linkedin.com/in/bill-regli-083552/ William Regli], DARPA :[https://www.nist.gov/people/ram-d-sriram Ram Sriram], NIST :[https://www.energy.gov/eere/amo/articles/welcome-dr-sudarsan-rachuri 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 ([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) ::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) [http://www.dodmrl.com/ 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 ::[https://www.nist.gov/sites/default/files/documents/el/msid/16_aBarnardFeeney.pdf Standard for the Exchange of Product Model Data (STEP)] :::[http://ws680.nist.gov/publication/get_pdf.cfm?pub_id=902775 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 ::[http://eil.stanford.edu/publications/sid/icegov_2012.pdf Focus on the patent system] ::[http://ieeexplore.ieee.org/document/6061369/ Retrieval of patent information] ::[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3632996/ 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?