Linking an Asset and a Domain Specific Ontology for a Simple Asset TimeSeries Application
Autor: | Charbel El Kaed, Francois Delpech, Victor Danilchenko, Alexis Radisson, John Brodeur |
---|---|
Rok vydání: | 2018 |
Předmět: |
0209 industrial biotechnology
Computer science Representation (systemics) 02 engineering and technology Domain model Ontology (information science) Data science Data modeling Domain (software engineering) 020901 industrial engineering & automation Product lifecycle Paradigm shift 0202 electrical engineering electronic engineering information engineering Semantic technology 020201 artificial intelligence & image processing Asset (economics) |
Zdroj: | IEEE BigData |
DOI: | 10.1109/bigdata.2018.8621972 |
Popis: | The Internet-of-Things paradigm has brought exciting opportunities to increase productivity and efficiency but also to enhance customer experience. Such things are expected to connect and exchange information enabling applications to propose a value added services. Nowadays, we witness a paradigm shift from pure data-centric application where the focus was only on the data, towards asset-centric applications to fully manage a product life cycle. Such asset view is a high level representation of the physical thing leading to the introduction of two separate but very highly connected models, the asset and domain data models. In this paper, we propose to rely on semantic technology to abstract and represent physical things and their asset representation in an integrated knowledge approach. |
Databáze: | OpenAIRE |
Externí odkaz: |