Download Taking the LEAP. The Methods and Tools of the Linked by Dimitris Kiritsis PDF

By Dimitris Kiritsis

Taking the bounce: The tools and instruments of the associated Engineering and production Platform (LEAP) exhibits how one can use the jump method to arrange all product lifecycle info had to force engineering and production procedures, and in addition presents wisdom exploitation ideas to help layout judgements. This booklet not just explains intimately what jump is and the way to take advantage of it, but in addition presents bounce case reviews from sectors resembling car production and offshore engineering.

The depth of festival within the international production has elevated dramatically some time past decade, proposing demanding situations and possibilities to new operators and conventional facilities alike. utilizing the most recent ICT advancements successfully is more and more vital so as to meet calls for for mass customization, sustainability, and stronger productiveness. to accomplish those pursuits, the associated Engineering and production Platform (LEAP) used to be constructed as an built-in details method for production layout.

  • Discusses how jump creates a brand new info atmosphere for all stakeholders within the production undefined, in an effort to enhance customization, sustainability, and productivity
  • Devises an interoperability process to assemble and coordinate electronic info from machines and platforms around the production offer chain
  • Provides criteria for the web of Things
  • Includes case learn info from businesses on the innovative of ICT in production comparable to SAP, Volkswagen, and UBITECH

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Additional resources for Taking the LEAP. The Methods and Tools of the Linked Engineering and Manufacturing Platform (LEAP)

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3. • Instances are used to represent elements or individuals in an ontology. org/wiki/DILIGENT) were the most common methodologies for building ontologies. These methodologies mainly include guidelines for single ontology construction, ranging from ontology specification to ontology implementation, and they are mainly targeted at ontology researchers. org/), suggests pathways and activities for a variety of scenarios, instead of prescribing a rigid workflow. The NeOn Methodology [3] for building ontology networks is a scenariobased methodology that supports a knowledge reuse approach, as well as collaborative aspects of ontology development and dynamic evolution of ontology networks in distributed environments.

Instances are used to represent elements or individuals in an ontology. org/wiki/DILIGENT) were the most common methodologies for building ontologies. These methodologies mainly include guidelines for single ontology construction, ranging from ontology specification to ontology implementation, and they are mainly targeted at ontology researchers. org/), suggests pathways and activities for a variety of scenarios, instead of prescribing a rigid workflow. The NeOn Methodology [3] for building ontology networks is a scenariobased methodology that supports a knowledge reuse approach, as well as collaborative aspects of ontology development and dynamic evolution of ontology networks in distributed environments.

This means that ABox instances should be satisfied by the available OWL concepts of TBox. 3. Subsumption Checking—This checks whether a class D subsumes another class C. This means that instances or properties of class C are also part of class D. 4. Query Processing—OWL inference engines need a powerful language to support queries so that users and software agents can query a knowledge base to retrieve useful data or facts. 5. Reasoning with Rules—Because rules are capable of expressing OWL classes, properties, and instances, the OWL inference engine needs to provide an interface to process rules that are represented with OWL classes, properties, and instance data.

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