Book

  • Janev, V., Graux, D., Jabeen, H., Sallinger, E. (Eds.) Knowledge Graphs and Big Data Processing. Lecture Notes in Computer Science vol. 12072, pp. 1-208. Springer International Publishing. ISBN 978-3-030-53198-0. DOI: https://doi.org/10.1007/978-3-030-53199-7

     


Foundations

Chapter 1 Ecosystem of Big Data (Valentina Janev)

Chapter 2 Knowledge Graphs: The Layered Perspective (Luigi Bellomarini, Emanuel Sallinger, and Sahar Vahdati)

Chapter 3 Big Data Outlook, Tools, and Architectures (Hajira Jabeen)

Architecture

Chapter 4 Creation of Knowledge Graphs (Anastasia Dimou) - Invited

Chapter 5 Federated Query Processing (Kemele M. Endris, Maria-Esther Vidal, and Damien Graux)

Chapter 6 Reasoning in Knowledge Graphs: An Embeddings Spotlight (Luigi Bellomarini, Emanuel Sallinger, and Sahar Vahdati)

Methods and Solutions

Chapter 7 Scalable Knowledge Graph Processing using SANSA (Hajira Jabeen, Damien Graux, and Gezim Sejdiu)

Chapter 8 Context-Based Entity Matching for Big Data (Mayesha Tasnim, Diego Collarana, Damien Graux, and Maria-Esther Vidal)

Applications

Chapter 9 Survey on Big Data Applications (Valentina Janev, Dea Puji´c, Marko Jeli´c, and Maria-Esther Vidal)

Chapter 10 Case Study from the Energy Domain (Dea Puji´c, Marko Jeli´c, Nikola Tomaˇsevi´c, and Marko Bati´c)


Journal Papers

  • Lazar Berbakov, Goran Dimić, Marko Beko, Jelena Vasiljević, Željko Stojković, Collaborative Data Transmission in Wireless Sensor Networks, in IEEE Access Journal, Volume 8, Issue 1, 2020, pp. 39647 - 39658. https://ieeexplore.ieee.org/document/9007355
  • Lazar Berbakov, Čarna Jovanović, Marina Svetel, Jelena Vasiljević, Goran Dimić, and Nenad Radulović, Quantitative Assessment of Head Tremor in Patients with Essential Tremor and Cervical Dystonia by Using Inertial Sensors, in Sensors Journal, Volume 19, Issue 19, 2019. pp.1-16. https://www.mdpi.com/1424-8220/19/19/4246
  • Nikola Tomasević, Nikola Gvozdenović, Sanja Vraneš, An overview and comparison of supervised data mining techniques for student exam performance prediction, Computers and Education Volume 143, January 2020, 103676 https://doi.org/10.1016/j.compedu.2019.103676
  • download   Musyafa, F., Vidal, M, Orlandi, F, Lehmann, J. and Jabeen, H, H Jabeen (2020) IOTA: Interlinking of Heterogeneous Multilingual Open Fiscal DaTA. Expert Systems With Applications
  • download Vuk Mijovic, Nikola Tomasevic, Valentina Janev, Mladen Stanojevic, Sanja Vraneš (2019). Emergency Management In Critical Infrastructures: A Complex-Event-Processing Paradigm, Journal of Systems Science and Systems Engineering, Springer Berlin Heidelberg, February 2019, Volume 28, Issue 1, pp 37–62. https://doi.org/10.1007/s11518-018-5393-5
  • Dea Pujić, Nikola Tomašević, Marko Batić (2019) Semi-supervised Approach for Improving Generalization in Non-Intrusive Load Monitoring (submitted)
  • Guma Lakshen, Sanja Vraneš and Valentina Janev (2019) Quality issues in open big data ecosystems: A case study from the drug industry (submitted)
  • Marko Jelić et all (2020) Towards self-sustainable island grids through optimal utilization of renewable energy potential and community engagement (accepted for publication)

 

Chapters in Books

  • Gordana Gardašević,  Lazar Berbakov, Aleksandar Mastilović (2020). Cybersecurity of Industrial Internet of Things, Chapter 3 in book  Cyber Security of Industrial Control Systems in the Future Internet Environment, Published: February 2020. IGI-Global, DOI: 10.4018/978-1-7998-2910-2
  • download Valentina Janev, Sanja Vraneš (2019). Implementation of Gender Equality Policies in Research and Development Organizations: Case Study from Serbia. In D. Vujadinović i Z. Antonijević (Eds.)  Gender Equality in Academia: Concepts, Practices and Challenges.  Akademska knjiga, Novi Sad, Serbia, 2019. ISBN 9788662632791
  • download Valentina Janev (2019).  Open data: Challenges and Opportunities for Serbia. In I. Janev (Ed) Serbia: Current Political, Economic and Social Issues and Challenges. Nova Science Publishers, ISBN: 978-1-53615-060-5 (eBook), pp. 165-184. 

 

Conference Papers

  • download Dea Pujić, Marko Jelić, Marko Batić, Nikola Tomašević  Energy user benchmarking using clustering approach. Proc. of 9th International Conference on Information Society Technology, Kopaonik, Serbia, March 10 – March 13, 2019. Information Society Serbia
  • download Marko Jelić, Dea Pujić, Marko Batić Correlation between IoT sensor measurements and total electricity consumption in smart homes. Proc. of 9th International Conference on Information Society Technology, Kopaonik, Serbia, March 10 – March 13, 2019. Information Society Serbia
  • download Dusan Popadić, Lazar Berbakov, Marko Jelić, Marko Batić. Ontology Enabled IoT System for Smart Buildings. Proc. of 9th International Conference on Information Society Technology, Kopaonik, Serbia, March 10 – March 13, 2019. Information Society Serbia
  • download Dea Pujić, Marko Jelić, Nikola Tomasević. Comparison between different ML approaches for PV and STC production forecasting using real-world data. Proc. of 9th International Conference on Information Society Technology, Kopaonik, Serbia, March 10 – March 13, 2019. Information Society Serbia
  • download Mojtaba Nayyeri, Sahar Vahdati, Xiaotian Zhou, Hamed Shariat Yazdi, and Jens Lehmann (2020) Embedding-Based Recommendations on Scholarly Knowledge Graphs. In A. Harth et al. (Eds.): ESWC 2020, LNCS 12123, pp. 255–270, 2020.
    https://doi.org/10.1007/978-3-030-49461-2_15
  • download  F Musyafa, J Lehmann and Hajira Jabeen (2020) Cross Administration Comparative Analysis of Open Fiscal Data. International Conference on Theory and Practice of Electronic Governance, 2020
  • download  H Jabeen, E Hazeiv, G Sejdiu and J Lehmann (2020) DISE: A Distributed in-Memory SPARQL Processing Engine over Tensor Data. IEEE International Conference on Semantic Computing, 2020
  • link Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann,Maria-Esther Vidal (2020) Unveiling Relations in the Industry 4.0 StandardsLandscape based on Knowledge Graph Embeddings, DEXA 2020.
  • download Valentina Janev, Dejan Paunović, Damien Graux, Hajira Jabeen, Emanuel Sallinger, Sahar Vahdati, “Big Data Analytics: Lectures from the LAMBDA Network”, eLearning Conference, Belgrade Metropolitan University, 2019
  • (download) V.Janev, J. Lehmann, E. Sallinger, S. Vahdati, D. Graux, and H. Jabeen (2019) LAMBDA: Learning, Applying, Multiplying Big DataAnalytics, ESWC Proceedings, 2019
  • download Guma Lakshen, Sanja Vraneš and Valentina Janev (2019) Linking Open Drug Data: Lessons Learned. In K. Saeed et al. (Eds.): CISIM 2019, LNCS 11703, pp. 164–176, 2019. Springer International Publishing. https://doi.org/10.1007/978-3-030-28957-7
  • (download) Marko Jelić, Dea Pujić,  Dejan Paunovic and Hajira Jabeen  (2019) A State-of-the-Art Review on Big Data Technologies. In Konjović, Z., Zdravković, M., Trajanović, M. (Eds.) Proc. of 9th International Conference on Information Society Technology, Kopaonik, Serbia, March 10 – March 13, 2019. Information Society Serbia, pp. 130-134. Repository: http://www.eventiotic.com/eventiotic/library/paper/495
  • (download) (PPT) Guma Lakshen, Sanja Vraneš and Valentina Janev (2019) Quality Issues of Open Big Data Ecosystems: Toward Solution Development. In Konjović, Z., Zdravković, M., Trajanović, M. (Eds.) Proc. of 9th International Conference on Information Society Technology, Kopaonik, Serbia, March 10 – March 13, 2019. Information Society Serbia, pp. 165-170. Repository: http://www.eventiotic.com/eventiotic/library/paper/471
  • (download) Guma Lakshen, Sanja Vraneš and Valentina Janev (2019) Linking Open Drug Data: the Arabic dataset. In Konjović, Z., Zdravković, M., Trajanović, M. (Eds.) Proc. of 9th International Conference on Information Society Technology, Kopaonik, Serbia, March 10 – March 13, 2019. Information Society Serbia, pp. 22-26. Repository:  http://www.eventiotic.com/eventiotic/library/paper/492
  • Lazar Berbakov, Marko Batić and Nikola Tomašević (2019)  Mobile application for energy management in smart buildings. In Konjović, Z., Zdravković, M., Trajanović, M. (Eds.) Proc. of 9th International Conference on Information Society Technology (Vol. 2), Kopaonik, Serbia, March 10 – March 13, 2019. Information Society Serbia, pp. 240-243. Repository:  http://www.eventiotic.com/eventiotic/library/paper/493
  • Lazar Berbakov, Nikola Tomašević, Marko Batić (2019) Architecture and implementation of IoT system for energy-efficient living. In Proc. 26th Telecommunications Forum (TELFOR 2018, 20-21.11.2018), Belgrade, Serbia. IEEE.
  • download  F Maqbool, S Razzaq, J Lehmann, H Jabeen (2019) Scalable Distributed Genetic Algorithm Using Apache Spark (S-GA). International Conference on Intelligent Computing, 2019
  • download  H Jabeen, N Tahara, J Lehmann (2019) EvoChef: Show Me What to Cook! Artificial Evolution of Culinary Arts. International Conference on Computational Intelligence in Music, Sound, Art, 2019
  • S Fathalla, S Vahdati, C Lange, S Auer, “SEO: A scientific events data model”. In International semantic web conference (pp. 79-95). Springer, Cham, October 2019.
  • S Fathalla, S Vahdati, C Lange, S Auer, “Scholarly event characteristics in four fields of science: a metrics-based analysis”. Scientometrics, 1-29, 2020.
  • M Ali, S Vahdati, S Singh, S Dasgupta, J  Lehmann, “Improving Access to Science for Social Good”. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2019.
  • A Rivas, I Grangel-González, D Collarana, J Lehmann, ME Vidal, “Unveiling Relations in the Industry 4.0 Standards Landscape based on Knowledge Graph Embeddings”. arXiv preprint arXiv:2006.04556.  June 2020.
  • M Tasnim, D Collarana, D Graux, M Galkin, ME Vidal, “COMET: A Contextualized Molecule-Based Matching Technique”. In International Conference on Database and Expert Systems Applications, pp. 175-185. Springer, Cham,  26th August 2019.
  • AM Bajwa, D Collarana, ME Vidal, “Interaction Network Analysis Using Semantic Similarity Based on Translation Embeddings”. In International Conference on Semantic Systems, pp. 249-255, Springer, Cham, 9 September 2019.
  • H Thakkar, R Angles, M Rodriguez, S Mallette, J Lehmann, “Let's build Bridges, not Walls: SPARQL Querying of TinkerPop Graph Databases with Sparql-Gremlin”. In IEEE 14th International Conference on Semantic Computing (ICSC), pp. 408-415. IEEE, 3rd February 2020.
  • Gerald Berger, Georg Gottlob, Andreas Pieris, Emanuel Sallinger, “The Space-Efficient Core of Vadalog”. Proceedings of the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, pp. 270-284, 2019.
  • Georg Gottlob, Andreas Pieris, Emanuel Sallinger: “Vadalog: Recent Advances and Applications”. European Conference on Logics in Artificial Intelligence (JELIA). Springer, Cham, pp. 21-37, 2019.
  • Luigi Bellomarini, Daniele Fakhoury, Georg Gottlob, Emanuel Sallinger, “Knowledge Graphs and Enterprise AI: The Promise of an Enabling Technology”. IEEE 35th International Conference on Data Engineering (ICDE), pp. 26-37, 2019.
  • J Clearman, R Ruslan, Fayzrakhmanov, G Gottlob, Y Nenov, S Reissfelder, E Sallinger, and E Sherkhonov, "Feature Engineering and Explainability with Vadalog: A Recommender Systems Application." In Datalog, pp. 39-43. 2019.
  • L Bellomarini, G Gottlob, and El Sallinger. "Datalog-based Reasoning for Knowledge Graphs". In AMW. 2019.
  • P Atzeni, Li Bellomarini, M Iezzi, E Sallinger, A Vlad, “Weaving Enterprise Knowledge Graphs: The Case of Company Ownership Graphs”. EDBT 2020, pp. 555-566, 2020.

 

The following additional peer-reviewed publications with topics related to the LAMBDA project have been published by PUPIN staff, in the last three years preceding the start date of the project.  

 

Journal Papers

  • Valentina Janev, Vuk Mijović, Sanja Vraneš (2018). Using the Linked Data Approach in European e-Government Systems. International Journal on Semantic Web and Information Systems 14(2):27-46, April 2018. DOI=10.4018/ijswis.2018040102
  • Vuk Mijović, Valentina Janev, Dejan Paunović, Sanja Vraneš (2016). Exploratory spatio-temporal analysis of linked statistical data. Web Semantics: Science, Services and Agents on the World Wide Web 41C: 1-8. ISSN: 15708268. DOI=10.1016/j.websem.2016.10.002
  • Nikola M. Tomasević, Aleksandar M. Nešković, Natasa J. Nešković (2017). Correlated EEG Signals Simulation Based on Artificial Neural Networks. International Journal of Neural Systems 27 (5). ISSN: 0129-0657DOI= 10.1142/S0129065717500083
  • Marko Batić, Nikola Tomašević, Giovanni Beccuti, Turhan Demiray, Sanja Vraneš (2016). Combined energy hub optimisation and demand side management for buildings. Energy and Buildings 127, pp. 229–241. ISSN: 0378-7788.  DOI=10.1016/j.enbuild.2016.05.087
  • Nikola M. Tomašević, Marko Č. Batić, Luis M. Blanes, Marcus M. Keane, Sanja Vraneš (2015). Ontology-based facility data model for energy management. Advanced Engineering Informatics 29(4): 971-984. ISSN: 1474-0346.  DOI=10.1016/j.aei.2015.09.003

 

Publications in Conference proceedings/Workshop

  • Guma Abdulkhader Lakshen, Valentina Janev, Sanja Vraneš (2018). Challenges in Quality Assessment of Arabic DBpedia. Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics - WIMS '18. DOI=10.1145/3227609.3227675             
  • Guma Abdulkhader Lakshen, Sanja Vraneš, Valentina Janev (2016). Big data and quality: A literature review. Proceedings of the 24th Telecommunications Forum (TELFOR). DOI=10.1109/telfor.2016.7818902                      
  • Giovanni Beccuti, Turhan Demiray, Marko Batić, Nikola Tomašević, Sanja Vraneš (2015). Energy hub modelling and optimisation: an analytical case-study. Proceedings of the 2015 IEEE Eindhoven PowerTech. DOI=10.1109/PTC.2015.7232413           
  • Lazar Berbakov, Bogdan Pavković, Sanja Vraneš (2015). Smart Indoor Positioning System for Situation Awareness in Emergency Situations. Proceedings of the 26th International Workshop on Database and Expert Systems Applications (DEXA)      . DOI=10.1109/DEXA.2015.44                  

 

Chapter in a Book

  • Valentina Janev, Marko Dabović, Sanja Vraneš (2017). Citizen-Centric Linked Data Apps for Emergency Response Systems. In D. Lawrence (Ed.) Aviation and Airport Security: Management, Improvement Strategies and Future Challenges, pp. 95-118. Nova Science Publishers. ISBN: 978-1-53611-909-1