Teaching Materials Repository

The paper presents results from the development of a methodology and corresponding software tools for building an academic repository. The repository was filled up with gaming material. The repository architecture and key features of the search engine are discussed. The emphasis falls on solutions of the large set of problems concerning the development of proper mechanisms for semantics-based search in a digital repository.* This work was supported in part by the FP7 projects: OpenAIRE – “Open Access In- frastructure for Research in Europe”, EuDML – “The European Digital Mathematics Library”, and by the Bulgarian National Science Fund under the Project D002-308 “Automated Metadata Generating for e-Documents Specifications and Standards”

Museum Collections and the Semantic Web

The paper discusses some current trends in the area of development and use of semantic portals for accessing heterogeneous museum collections on the Semantic Web. The presentation is focused on some issues concerning metadata standards for museums, museum collections ontologies and semantic search engines. A number of design considerations and recommendations are formulated.The Fourth International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage—DiPP2014 is supported by the Ministry of Education and Science and is under the patronage of UNESCO

Implementation of an Ontology-Based Decision Support System for Dietary Recommendations for Diabetes Mellitus

Along with the massive influence of computing technologies in medical research and practice, the wide generation of patient, clinical and lab test data makes the assistance of intelligent information systems a very important factor for correct therapy, surveillance and advising of the patients. In this context decision support systems play an increasingly important role in medical practice. The implementation of a decision support system (DSS) in diabetes treatment and in particular in organizing an improved regime of food balance and patient diets is the target area of the presented study. Based on the recently created Diabetes Mellitus Treatment Ontology (DMTO), our DSS for dietary recommendations generates broader and more precise advices to patients with a known clinical history and lab test profiles. These recommendations are rule-based decisions derived using the DMTO subontologies for patient’s lifestyle improvement and the data from the patient records.National Scientific Program “eHealth” in Bulgaria. Methodological support was received from Project BG05M2P001-1.001-0004 “Universities for Science, Informatics and Technologies in the e-Society (UNITe)” funded by Operational Program “Science and Education for Smart Growth” co-funded by European Regional Development Fund