Special Session on Metadata for Manufacturing

Note: This workshop is cancelled

Half-day workshop: 2:30 pm – 6:00 pm, Thursday, September 13th, 2018

Session conveners: University of Minho, Computing Graphics Centre

Rationale

The use of Linked Data (LD) in manufacturing has many potentialities for the diversity of products requiring technical description and interrelationship, either within the same sector or between industrial sectors or between manufacturing and other sectors of activity as, for example, [business, logistics] trade.

An obvious use is, for example, in the catalogs of parts or end products. For example, how do you, describe a certain type of nail in Resource Description Framework (RDF)? What are the properties and encoding schemes to use? Would manufacturing benefit from a Simple Knowledge Organization System (SKOS) vocabulary of types of very specific products? What would be the RDF properties to technically describe specific manufacturing products?

The existence of this type of information in RDF potentially facilitates not only business-to-business but also business-to-consumer relationships, by making searches, comparisons and product relationships across the Web much faster and more reliable. The potential use of LD principles and technologies in manufacturing goes well beyond catalogs. Business-to-business data sharing requires interoperability and independence of proprietary formats. If there are cases where there are standards that ensure it, others there are where the standards do not exist or are not sufficient to guarantee semantic interoperability without endangering industrial property rights.

DCMI, as a central worldwide entity in the topic of metadata and has a leading role in all Linked Data developments. It cannot, therefore, fail to keep up with, and in some cases even lead, the developments related to metadata in manufacturing. This special session is intended as a seed for the creation of a community or Special Interest Group of metadata for manufacturing within DCMI. The objectives of the session are:

  • Introduce the LD topic and potential benefits to the manufacturing presence on the Web.
  • Identify authentic practical cases of potential application of LD in the scope of manufacturing.
  • Identify practical cases for potential standardization activities.
  • Constitute the seed of a work community or a Special Interest Group in linked data for manufacturing (common objectives stepped up, entities, people, form of operation, financing).

For DCMI and related professionals this session has the benefit of diversifying the areas of application of their highly specialized knowledge. For industry, it has the benefit of contacting individuals and institutions with a high level of expertise in a central topic in the organization of knowledge.

Agenda

  • Opening (5 min).
  • Presentation of the LD topic (15 min).
  • Think Tank Introduction – LD in manufacturing (10 min).
  • Think Tank Round Tables – Potential cases for application of LD in manufacturing (1 hour and 30 min)
    • Product
    • Process
  • Break (30 min).
  • Think Tank Outcomes Discussion – Refinement and clarification of LD cases in manufacturing (30 min)
  • Think Tank Conclusions – Emerging LD in manufacturing (30 min)
  • Close

Activities

  • Think Tank Introduction – LD in manufacturing
    • Present to the participants the meaning of a Think Tank session and the main goals to achieve in this session.
    • Present the Statement of the problem.
    • Present also the agenda of the following group activities
  • Think Tank Round Tables – Potential cases for application of LD in manufacturing
    • Starting this session by poll the audience to determine the participants profile (manufacturing domain, functional role in company, etc.)
    • Break the audience into smaller groups, perhaps based on a common profile or interest, to identify potential cases of LD application in manufacturing.
  • Think Tank Outcomes Discussion – Refinement and clarification of LD cases in manufacturing
    • Identify the major outcomes of the round tables by selecting around four cases of LD in manufacturing
    • Final definition and clarification of the LD cases
    • Identify champions for each case
  • Think Tank Conclusions – Emerging LD in manufacturing
    • Summarize the agenda items and the key issues that emerged
    • Verify if any participant wish to share key insights they gained
    • Give practical information about the community-to-build

Ramp-up and follow-through

Following this session, it is expected that an online community will be created to continue the discussion and work.

Bios of the session moderators

Ana Alice Baptista (Female, PhD) is a professor at the Information Systems Department and a researcher at ALGORITMI Center, both at University of Minho, Portugal. She graduated in computer engineering and has a PhD on Information Systems and Technologies. She is the current chair of the Dublin Core Metadata Initiative (DCMI) and she also chairs the DCMI Education & Outreach Committee. She is a member of the Elpub conference series Executive Committee. She leaded and participated in several R&D projects and she was an evaluator of project proposals under FP7. She has authored or co-authored several dozens of articles both in English and Portuguese. Her main areas of interest include Metadata, Linked Data and the Open Movement both under their technological and social perspectives.

João P. Mendonça (Male, PhD) received his PhD degree in Mechanical Engineering from University of Minho; Graduate in Mechanical Engineering from University of Minho. Assistant Professor in the Mechanical Engineering Department of UMinho and Principal Investigator of several industry-led R&D projects in its fields of competence. His research interests are in the realm of computer-aided design and manufacturing (CAD/CAM), next generation modeling and design methods, manufacturing information modeling and knowledge management, and open standards-based PLM frameworks. He has authored several international publications, served as Enterprise Information Management Chair of ASME CIE division. He is member of ASME American Society of Mechanical Engineers and member of Manufacturing Enterprise Interoperability Group of european virtual Labs network of INTEROP-VLab. He was the scientific responsible of H2020-FoF C2NET Cloud Collaborative Manufacturing Networks. Other scientific areas of interest: Information Based Manufacturing and Design, Product Lifecycle Management, Metrology, Semantic STEP.

Paula Monteiro (Female, PhD) is a researcher at CCG since 2012. She received the Ph.D. degree in Computer Science from University of Minho, University of Aveiro and University of Porto (joint Doctoral Programme). She also received the Lic. degree in Mathematics and Computer Science and the MSc in Informatics – Expertise in Distributed Systems, Computer Communications and Computer Architecture from University of Minho. In the last 20 years, she has been involved in the development and implementation of several projects in the area of Software Engineering (model-driven development, requirements engineering, software quality). Paula is author of scientific publications in the area of Model-Driven Development and in the area of Software Process Improvement. She has already participated in European and national projects as a researcher, and in particular in the Virtual Automation, InfoCitizen, USE-ME.GOV, uPAIN, AAL4ALL, C4E and CloudAnchor project. She is a certified Software Product Manager by ISPMA – International Software Product Management Association since June 2015. She is a researcher from the Software Engineering and Management Group (SEMAG), a research group from Centro ALGORITMI of University of Minho (http://semag.algoritmi.uminho.pt/).

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