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Sinus – A Semantic Technology Enhanced Environment For Learning In Humanities

References 1. Dochev, D., G. Agre. Supporting Learning-by-Doing Situations by Semantic Technologies. - In: D. Stefanoui, J Culita, Eds. Proc. of 17th Annual Conf. on Media and Web Technology EUROMEDIA’2012, Bucharest, April 2012, ISBN 978-90-77381-69-4, 49-53. 2. Protege 4 User Documentation (accessed 2010). http://protegewiki.stanford.edu/wiki/Protege4UserDocs 3. Paneva-Marinnova, D., R. Pavlov, M. Goynov, L. Pavlova-Draganova, L. Draganov. Search and Administrative Services in Iconographical Digital

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Enhancing a Traditional Health Care System of an Organization for Better Service with Agent Technology by Ensuring Confidentiality of Patients’ Medical Information

References 1. Luck, M., P. Mc Burney, C. Preist. Agent Technology: Enabling Next Generation Computing. A Roadmap for Agent Based Computing, Agent Link, 2012. 2. Leszczyna, R. Evaluation of Agent Platforms - JRC Scientific and Technical Reports. Version 2.0, 2008. 3. Bellifemine, F. L., G. Caire, D. Greenwood. Developing Multi-Agent Systems with Jade. John Wiley Sons, Ltd., England, 2007. 4. Bellifemine, F., A. Poggi, G. Rimassa. JADE - A FIPA-Compliant Agent Framework. - In: Proceedings

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Technology Enhanced Learning for Humanities by Active Learning − the Sinus Project Approach

. Stutt, E. Motta, T. Collins. Representations for Semantic Learning Webs: Semantic Web Technology in Learning Support. - Journal of Computer Assisted Learning, Vol. 23 , 2007, 69-82. 8. Carusi, A. Taking Philosophical Dialogue Online. Discourse: Learning and Teaching in Philosophical and Religious Studies, Vol. 3 , 2003, No 1, 95-156. 9. Agre, G. SINUS - A Semantic Technology Enhanced Environment for Learning in Humanities. - Cybernetics and Information Technologies, Vol. 12 , 2012, No 4, 5-24. 10. Dochev, D., G. Agre

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Cybernetics and Information Technologies
The Journal of Institute of Information and Communication Technologies of Bulgarian Academy of Sciences
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Information Technology and Management Science
The Journal of Riga Technical University
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Mitigating Hotspot Issue in WSN Using Sensor Nodes with Varying Initial Energy Levels and Quantification Algorithm

Energy Efficient and Balance Hierarchical Unequal Clustering Algorithm for Large Scale Sensor Networks. – Information Technology Journal, Vol. 8 , 2009, No 1, pp. 28-38. 8. Wei., D., Y. Jin, S. Vural, K. Moessner, R. Tafazolli. An Energy-Efficient Clustering Solution for Wireless Sensor Networks. – IEEE Transactions on Wireless Communications, Vol. 10 , December 2011, No 11, pp. 3973-3983. 9. Wang, J., J. Kim, L. Shu, Y. Niu, S. Lee. A Distance-Based Energy Aware Routing Algorithm for Wireless Sensor Networks. – Sensors, Vol. 10 , 2010, No 10, pp. 9493

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Group Decision Making in Evaluation and Ranking of Students by Extended Simple Multi-Attribute Rating Technique

References 1. Gutierrez, R. T. Understanding the Role of Digital Commons in the Web; The Making of HTML5. – Telematics and Informatics, Vol. 35 , 2018, pp. 1438-1449. 2. Ringe, S., R. Kedia, A. Poddar, S. Patel. HTML5 Based Virtual Whiteboard for Real Time Interaction. – Procedia Computer Science, Vol. 49 , 2015, pp. 170-177. 3. Halachev, P., I. Mustakerov. Evaluation of the Time Needed for e-Learning Course Developing. – Cybernetics and Information Technologies, Vol. 9 , 2009, No 3, pp. 86-95. 4. Mustakerov, I., D. Borissova. A

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Uncertainty Aware Resource Provisioning Framework for Cloud Using Expected 3-SARSA Learning Agent: NSS and FNSS Based Approach

and Technology (IJETT), Vol. 60 , pp. 65-70. 7. Pham, N. M. N., V. S. Le, H. H. C. Nguyen. Energy Efficient Resource Allocation for Virtual Services Based on Heterogeneous Shared Hosting Platforms in Cloud Computing. – Cybernetics and Information Technologies, Vol. 17 , 2017, pp. 47-58. 8. Senthilkumar, M. Energy-AwareTask Scheduling Using Hybrid Firefly-BAT (FFABAT) in Big Data. – Cybernetics and Information Technologies, Vol. 18 , 2018, pp. 98-111. 9. Gill, S. S., R. Buyya. Resource Provisioning based Scheduling Framework for Execution of

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Natural Language Generation and Semantic Technologies

References 1. Bateman, J. A. Natural Language Generation: An Introduction and Open-Ended Review of the State of the Art, 2002. 2. Bateman, J. A. Enabling Technology for Multilingual Natural Language Generation: The KPML Development Environment. - Natural Language Engineering, Vol. 3, 1997, No 1, 15-55. 3. Bateman, J. A., E. Teich. Selective Information Presentation in an Integrated Publication System: An Application of Genre-Driven Text Generation. - Information Processing and Management, Vol. 31, 1995, No 5, 753-767. 4. Bateman, J., R. Kasper, J

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Smart Compact Laser System for Animation Projections

Charging for Mobile Wireless Power Transfer Work?. – IEEE Vehicular Technology Magazine, Vol. 11 , 2016, No 4, pp. 36-45. ISSN: 1556-6072, DOI: 10.1109/MVT.2016.2594944. 8. Ding, J., J. Liu, X. Wei, J. Xu. The SMAT Fiber Laser for Industrial Applications. – In: Proc. of SPIE 10085, Components and Packaging for Laser Systems III, 100850R, 22 February 2017, ISSN: 0277-786X, DOI: 10.1117/12.2250459. 9. Chatzizyrli, E., N. Tinne, R. Lachmayer, J. Neumann, D. Kracht. Modeling of Photoluminescence in Laser-Based Lighting Systems. – In: Proc. of SPIE 10603

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