It’s been awhile since I last posted a “Friday Data Story”. These usually present a topic that expand the “data” horizons of software use and also provide a bit more perspective. The topic of “ontologies” has already been discussed on this blog. Navigate to Inforbix Product Data Semantics if you need a reminder as a starting point to today’s post. “Ontology” may sound complex, but it actually represents a simple concept: the semantics of data. The following workshop material caught my attention a few weeks ago, Ontology and Semantic Web for manufacturing. The workshop will take place in Gratz, Austria on the 24th of July. You can find more information here. Here’s a description of the workshop that hopefully provides you a glimpse of what the workshop is about:
Developing innovative and competitive products in the globalized world requires an orchestrated Product Life Cycle Management (PLM). To achieve this, we require more that enterprise policies and good human-based communication channels, appropriate technologies are also mandatory. These technologies should be able to support representing, managing and reusing the PLM knowledge, same as inferring implicit knowledge in large and geographically distributed knowledgebases. Some of the just mentioned requirements, related with knowledge, are considered in Ontology and the Semantic Web framework. That is causing an increasing interest in using them into the manufacturing domain.
Design for Manufacturing (DfM), Concurrent Engineering (CE) and Flexible Manufacturing Systems (FMS) are modern manufacturing approaches in which the search of orchestration becomes evident. Although there have been some research aiming to integrate Ontology and the Semantic Web with them, there is still the necessity of methodologies, frameworks, software tools and more use cases to support industrial implementations.
For the page that caught my special attention go here. These questions grabbed my interest and resonated with what we are doing at Inforbix. The questions are:
- How can semantic search be deployed over the manufacturing information space?
- How can tagging techniques be applied within the manufacturing domain?
- A CAD ontology per standard? Or a CAD upper ontology?
- Do we need one enterprise ontology or modular enterprise ontology?
Inforbix Search is especially developed for the manufacturing information domain, e.g., for multiple files, databases, and applications. We developed technology that use manufacturing ontologies and other data management techniques to work with complex semantically rich data such as CAD files.
Conclusion. I’m looking forward to attending the workshop if time permits and see how Inforbix can provide some answers to the questions I pointed out, above. The good news is, you can get some practical use of Inforbix right away. Demo Inforbix today or start a pilot at your company using your own data, register today!