Domain specifications for data-intensive problem solving in neurophysiology

Neurophysiology as a data-intensive science requires detailed data specification from the domain point of view. Such specifications are necessary for organization of semantic search over collected data, creation of conceptual schemes for a homogeneous representation of source data, and providing interoperability for research problem solving using neurophysiological data by specialists of the domain. Known ontologies that provide concepts of neurophysiology define them in a formal way only partially. Existing ontologies are not enough to express semantics of data, methods, and processes for solving most of research problems. This particular work is aimed at developing formal specifications for the domain of analysis and modeling of cognitive functions of brain. The coherent specifications developed can be used to manage collections of heterogeneous data and methods, to create conceptual schemes of the domain, to provide semantic integration of heterogeneous data, and problem solving in terms of the domain.