Linked semantic model for information resource service towards cloud manufacturing

1. 2020 – 2021
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Linked Semantic Model for Information Resource Service towards Cloud
Manufacturing
Abstract:
Information resource services are the key element for resource sharing in cloud
manufacturing. Traditional resource service models focus on modeling the attributes,
interfaces, and descriptions of the resources into resource information services. Such
resource services are suitable for local environment but suffer semantic heterogeneities in
open cloud environment. Recently, well-designed ontologies are applied in resource service
models to unify the schema and eliminate the semantic heterogeneities among the services.
However, the effectiveness of ontology-based models mainly depends on the expertise of the
ontology experts in ontology designing. Moreover, it is difficult to catch the dynamic changes
in the cloud once the ontology has been embedded. In this paper, a semantic model is
presented for information resource service modeling that uses semantic links instead of
ontologies. The model takes advantage of semantic links to enable automated integrating
and distributed updating in resource service cloud. In the experiment, the model is applied on
practical manufacturing resources from a wheel manufacturing company. The case study and
experimental results show that the proposed model is suitable for modeling manufacturing
resources into cloud services and enables the flexible and distributed manipulation on
resource services in the cloud environment.