A Semantics- and Data-Driven SOA for Biomedical Multimedia Systems

Due to the problems of heterogeneous data and platforms, abundant functional and QoS requirements, high data size, and tangling correlation between data/contents and software functionalities, developing large-scale biomedical multimedia database systems is a challenging task. This paper presents a semantics- and data-driven service-oriented architecture (SOA) to take the interoperability and scalability advantages of conventional SOA and solve the aforementioned problems. By establishing data ontology with respect to data properties, contents, QoS, and biomedical regulations and expanding service ontology to describe more functional and QoS specifications supported by services, appropriate services for processing biomedical multimedia data may be discovered, performed, tuned up or replaced as needed. Additionally, six transmission services are introduced to support dynamic adaptation under specific requirements.