Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: There is a growing trend to deploy b services in pervasive computing environments. Implementing b services on networked, embedded devices leads to a set of challenges, including productivity of development, efficiency of b services, and handling of variability and dependencies of hardware and software platforms. To address these challenges,  developed a b service compiler called Limbo, in which b Ontology Language (OWL) ontologies are used to make the Limbo compiler aware of its compilation context such as device hardware and software details, platform dependencies, and resource/por consumption. The ontologies are used to configure Limbo for generating resource-efficient b service code.The architecture of Limbo follows the Blackboard architectural style and Limbo is implemented using the OSGi declarative services component model. The component model provides high flexibility for adding new compilation features. A number of evaluations show that the Limbo compiler is successful in terms of performance, completeness, and usability.
['Klaus Marius Hansen', 'Weishan Zhang', 'João Fernandes']
I am writing a research paper on a idea Flexible Generation of Pervasive Web Services Using OSGi Declarative Services and OWL Ontologies
[{"from": "human", "value": "I am writing a research paper on a idea Flexible Generation of Pervasive Web Services Using OSGi Declarative Services and OWL Ontologies"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: There is a growing trend to deploy b services in pervasive computing environments. Implementing b services on networked, embedded devices leads to a set of challenges, including productivity of development, efficiency of b services, and handling of variability and dependencies of hardware and software platforms. To address these challenges,  developed a b service compiler called Limbo, in which b Ontology Language (OWL) ontologies are used to make the Limbo compiler aware of its compilation context such as device hardware and software details, platform dependencies, and resource/por consumption. The ontologies are used to configure Limbo for generating resource-efficient b service code.The architecture of Limbo follows the Blackboard architectural style and Limbo is implemented using the OSGi declarative services component model. The component model provides high flexibility for adding new compilation features. A number of evaluations show that the Limbo compiler is successful in terms of performance, completeness, and usability."}]