This paper aims to survey the new methodology and tools for user-defined applications development, based on Service-Oriented Computing (SOC) and Model-Driven Approach (MDA), when all computing units, both hardware and software, can be treated as services and domain ontology acts as a meta-model basis to generate a conceptual model for specific information systems. It allows programmers to create new applications using ready-made service available on the network, from one side, and an application itself may create (compose) the infrastructure it needs to run, from other.

The main objective of this paper is to provide novel methods facilitating an efficient access and reuse of healthcarerelated data sources within a large scalable and reliable infrastructure, so called ecosystem of ontology-based services which reflect big data and specific patient care. This task focuses on developing ontology-based services for gathering outputs from the various data sources (portable wearable devices, the EHR data, clinical notes, claims, medical imaging data, etc.), that are used in various applied fields of mHealth, and on creating management technology for provision of interconnected healthcare-related data sources and processing procedures. The developed services are the main 'building blocks' for more complex applications that use some medical data processing scenarios. To hide the low-level details of the service orchestration mechanism, an automated ontology-based workflow management engine is introduced, that will allow expressing various data processing workflows in the abstract terms of the 'glue' high-level ontology rather than in low-level details of interaction different services.