Open AccessModeling Framework for Medical Data Semantic Transformations
Author(s) -
Alexander Vodyaho,
Nataly Zhukova,
Dmitry Kurapeev,
Mikhail Lushnov
Publication year - 2018
Publication title -
kalpa publications in computing
Language(s) - English
Resource type - Conference proceedings
ISSN - 2515-1762
DOI - 10.29007/l2vs
Subject(s) - computer science , domain (mathematical analysis) , model transformation , semantic data model , transformation (genetics) , development (topology) , subject (documents) , software engineering , data modeling , semantics (computer science) , data science , information retrieval , artificial intelligence , programming language , world wide web , mathematical analysis , biochemistry , chemistry , mathematics , consistency (knowledge bases) , gene
Nowadays inthe domain of modern information technologies there is an evident trend of wide usage of intel- ligent information systems (IS), where processing of incoming data is based on multiple semantic-oriented transformations. Model Driven Engineering approach is widely used for intelligent IS development. The effectiveness of this approach is defined by availability for developers sufficient number of domain oriented models, which describe the classes of solutions and suggest effective tools for model transformation. In the paper a model driven approach for development of intelligent IS is described. The main idea of the suggest- ed approach is an implementation of semantic oriented transformations. This approach was used by the authors for building real IS for different subject domains. The example of practical usage of the suggested approach for medical IS development is described.