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The Internet of Things envisions a multitude of heterogeneous objects and interactions with physical environments. It has provided a promising opportunity to build powerful services and applications by leveraging the growing ubiquity of smart objects connected to the Internet. In this environment, it is challenging to locate desirable services due to the considerable diversity, large scale, dynamic...
Nowadays a great number of different software services are available for usage. These services have different attributes and proper selection of software service for solving given problem is very difficult and non-trivial task. This paper focuses on recommendation of software services. We want to achieve selection of software services which fulfills needs of a user to the greatest possible extent...
The idea presented in paper is inspired from the wide prospect given by the integration of fuzzy sets and linguistic quantifiers in the modeling of context and quantification of similarities measurement. In pervasive services retrieval, dealing with context in a flexible and efficient way is extremely important. In this paper we propose a practical classification of context into functional and non...
Service discovery is one of the key tasks in SOA, locating a particular or a series of services by matching a user query with service advertisement in service repository. It’s crucial to the automation and intelligence of service invocation, achieving better user-experience of QoS. However, key-word based syntactic matchmaker currently fails to provide a satisfied service discovery mechanism. Therefore,...
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