Dr. Jorge Martínez Gil
J. Martinez Gil, A. Paoletti, G. Rácz, A. Sali, K. Schewe. Accurate and efficient profile matching in knowledge base. Data and Knowledge Engineering, volume 117, pages 195-215, DOI: 10.1016/j.datak.2018.07.010, September, 2018.
J. Martinez Gil, B. Freudenthaler, T. Natschläger. Automatic recommendation of prognosis measures for mechanical components based on massive text mining (extended version). International Journal of Web Information Systems, volume 14, number 4, pages 480-494, DOI: 10.1108/IJWIS-04-2018-0029, December, 2018.
J. Martínez Gil, B. Freudenthaler, T. Natschläger. Recommendation of job offers using random forests and support vector machines. Proceedings of the Workshops of the EDBT/ICDT 2018 Joint Conference (EDBT/ICDT 2018), CEUR Workshop Proceedings, volume 2083, pages 22-27, EUR-WS.org, March, 2018.
J. Martinez-Gil, B. Freudenthaler, T. Natschläger. Automatic recommendation of prognosis measures for mechanical components based on massive text mining. In M. Indrawan-Santiago, I. Salvadori, M. Steinbauer, I. Khalil, G. Anderst-Kotsis (editors), Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2017), pages 32-39, DOI 10.1145/3151759.3151774, ACM, December, 2017.
A. Buga, B. Freudenthaler, J. Martinez Gil, S. Nemes, L. Paoletti. Management of accurate profile matching using multi-cloud service interaction. In M. Indrawan-Santiago, I. Salvadori, M. Steinbauer, I. Khalil, G. Anderst-Kotsis (editors), Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2017), pages 161-165, DOI 10.1145/3151759.3151831, ACM, December, 2017.
J. Martínez Gil, L. Paoletti, M. Pichler. A novel approach for learning how to automatically match job offers and candidate profiles. https://arxiv.org/abs/1611.04931, cs.OH - Other Computer Science, arXiv:1611.04931 [cs.OH], November, 2016.
J. Martinez Gil, L. Paoletti, K. Schewe. A smart approach for matching, learning and querying information from the human resources domain. New Trends in Databases and Information Systems - Proc. ADBIS 2016 Short Papers and Workshops, Communications in Computer and Information Science, volume 637, pages 157-167, DOI 10.1007/978-3-319-44066-8_17, Springer, August, 2016.
J. Martínez Gil. Accurate semantic similarity measurement of biomedical nomenclature by means of fuzzy logic. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, volume 24, number 2, pages 291-305, DOI: 10.1142/S0218488516500148, April, 2016.
J. Martínez Gil, M. Pichler, L. Paoletti. Looking for the best historical window for assessing semantic similarity using human literature. In T. Palpanas, K. Stefanidis (editors), Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference (EDBT/ICDT 2016), CEUR Workshop Proceedings, volume 1558, pages http://ceur-ws.org/Vol-1558/paper29.pdf, CEUR, March, 2016.
J. Martínez Gil, L. Paoletti, G. Rácz, A. Sali, K. Schewe. Maintenance of profile matchings in knowledge bases. Model and Data Engineering - Proc. MEDI 2016, Lecture Notes in Computer Science, volume 9893, pages 132-141, DOI 10.1007/978-3-319-45547-1_11, Springer, September, 2016.
L. Paoletti, J. Martinez Gil, K. Schewe. Top-k matching queries for filter-based profile matching in knowledge bases. Database and Expert Systems Applications - Proc. DEXA 2016, Part II, Lecture Notes in Computer Science, volume 9828, pages 295-302, DOI 10.1007/978-3-319-44406-2_23, Springer, September, 2016.
L. Paoletti, J. Martinez-Gil, K. Schewe. Extending knowledge-based profile matching in the human resources domain. In Q. Chen, A. Hameuerlain, F. Toumani, R. Wagner, H. Decker (editors), Database and Expert Systems Applications - Proc. DEXA 2015, Part II, Lecture Notes of Computer Science, volume 9262, pages 21-34, DOI 10.1007/978-3-319-22852-5, Springer, September, 2015.
J. Martinez-Gil, G. Chasparis, A. Bögl, C. Illibauer, B. Freudenthaler, T. Natschläger. Framework for fast prototyping of energy-saving controllers. Proceedings of the 26th International Workshops on Database and Expert Systems Applications, pages 68-72, September, 2015.
J. Martínez Gil. An overview of knowledge management techniques for e-recruitment. Journal of Information & Knowledge Management, volume 13, number 2, pages 1450014-1-1450014-9, DOI: 10.1142/S0219649214500142, June, 2014.
J. Martínez Gil, M. Pichler. Analysis of word co-occurrence in human literature for supporting semantic correspondence discovery. Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business - i-Know 2014, pages DOI 10.1145/2637748.2638422, November, 2014.
J. Martínez Gil, G. Chasparis, B. Freudenthaler, T. Natschläger. Realistic user behavior modeling for energy saving in residential buildings. In F. Morvan, R. Wagner, A. Tjoa (editors), Proceedings of the 25th International Workshop on Database and Expert Systems Applications - DEXA 2014, pages 121-125, CPS, September, 2014.
Dr. Jorge Martinez-Gil is a Spanish-born computer scientist working in the Data & Knowledge Engineering field. He got his PhD in Computer Science from University of Malaga (Spain) in 2010. He has held a number of research positions across some European countries (Austria, Germany, Spain). He currently holds a senior researcher position within the area of Data Analysis Systems from the Software Competence Center Hagenberg (SCCH) in Austria where he is involved in several applied and fundamental research projects related to knowledge-based technologies. Before joining SCCH, he was an acting professor within the Department of Computer Science from the University of Extremadura, Spain.
Dr. Martinez-Gil has published more than 50 peer-reviewed scientific papers, including those published in prestigious journals like SIGMOD Record, Knowledge and Information Systems, Information Systems Frontiers, Knowledge-Based Systems, Knowledge Engineering Review, Cognitive Systems Research, Online Information Review, Journal of Universal Computer Science, Journal of Computer Science & Technology, Artificial Intelligence Review, Journal of Information and Knowledge Management, and so on.
He has been involved in the evaluation of many scientific manuscripts in academic journals (Knowledge and Information Systems, Knowledge Based Systems, Expert Systems with Applications, Artificial Intelligence Review, and so on), evaluation of research project proposals (FP7 FET, H2020 Flagship, German BMBF, Belgish FNRS, Polish NBCR, etc.), startup mentoring (Spain and Serbia), and creation of study programs in ICT related fields (Spain).