An extended ontology-based context model and manipulation calculus for dynamic Web service processes

Abstract

Services are offered in an execution context that is determined by how a provider provisions the service and how the user consumes it. The need for more flexibility requires the provisioning and consumption aspects to be addressed at runtime. We propose an ontology-based context model providing a framework for service provisioning and consumption aspects and techniques for managing context constraints for Web service processes where dynamic context concerns can be monitored and validated at service process run-time.We discuss the contextualization of dynamically relevant aspects of Web service processes as our main goal, i.e. capture aspects in an extended context model. The technical contributions of this paper are a context model ontology for dynamic service contexts and an operator calculus for integrated and coherent context manipulation, composition and reasoning. The context model ontology formalizes dynamic aspects of Web services and facilitates reasoning. We present the context ontology in terms of four core dimensions -functional, QoS, domain and platform -which are internally interconnected.

Ontology for cloud manufacturing based Product Lifecycle Management

“…Bruno and Villa (2012) provide an ontology-based model for SME networks contracts where the network rules and criteria for controlling the network members' contributions are defined. Bandara et al (2015) present a context model ontology for dynamic service context and an operator calculus for integrated and coherent context manipulation, composition and reasoning. The context model ontology provides a shared conceptualization of dynamic provisioning and consumption aspects relevant to the composition and execution of Web services.…”

For a Dynamic Web Services Discovery Model for Open Ecosystems of Software Providers

“…In services discovery, this means calculating a given value via weighting the criteria dimensions to further rank the most suitable services [18].…”

“…Perin et al [9] implemented a web services dynamic discovery model integrated to the BPM level in way that SOA compositions can be created and dynamically evolve as businesses change. Bandara et al (2015) [18] implemented a prototype where users can balance criteria regarding current processes' needs. These four works are just examples to show that QoS-based criteria are the most adopted approach in services discovery, sometimes combined with multi-criteria methods.…”