TU Wien Informatics

Overview Professors Scientific Staff Administrative Staff Student Staff External Lecturers By Responsibilities By Committee By Name
Related
Guest Professors Honoraries Alumni (LinkedIn) #5qw

Fajar Juang Ekaputra

Dr.techn. Mag.

Fajar Juang Ekaputra

Role

Contact

2024W

2025S

 

2024

2023

  • Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG / Ekaputra, F. J., Llugiqi, M., Sabou, M., Ekelhart, A., Paulheim, H., Breit, A., Revenko, A., Waltersdorfer, L., Farfar, K. E., & Auer, S. (2023). Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG. In C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, & S. Hertling (Eds.), The Semantic Web : 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28–June 1, 2023, Proceedings (pp. 372–389). Springer Cham. https://doi.org/10.1007/978-3-031-33455-9_22
    Project: SPFBT (2020–2026)
  • Combining Machine Learning and Semantic Web: A Systematic Mapping Study / Breit, A., Waltersdorfer, L., Ekaputra, F. J., Sabou, M., Ekelhart, A., Iana, A., Paulheim, H., Portisch, J., Revenko, A., ten Teije, A., & van Harmelen, F. (2023). Combining Machine Learning and Semantic Web: A Systematic Mapping Study. ACM Computing Surveys. https://doi.org/10.1145/3586163
    Project: OBARIS (2020–2022)
  • Causality Prediction with Neural-Symbolic Systems: A Case Study in Smart Grids / Schreiberhuber, K., Sabou, M., Ekaputra, F. J., Knees, P., Aryan, P. R., Einfalt, A., & Mosshammer, R. (2023). Causality Prediction with Neural-Symbolic Systems: A Case Study in Smart Grids. In Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023) (pp. 336–347). CEUR-WS.org. https://doi.org/10.34726/5300
    Download: PDF (2.48 MB)
    Project: HumRec (2021–2025)
  • Semantic Web Machine Learning Systems: An Analysis of System Patterns / Waltersdorfer, L., Breit, A., Ekaputra, F. J., Sabou, M., Ekelhart, A., Iana, A., Paulheim, H., Portisch, J., Revenko, A., ten Teije, A., & van Harmelen, F. (2023). Semantic Web Machine Learning Systems: An Analysis of System Patterns. In P. Hitzler, K. Sarker, & A. Eberhart (Eds.), Compendium of Neurosymbolic Artificial Intelligence (Vol. 369, pp. 77–99). IOS Press. https://doi.org/10.3233/FAIA230136
    Project: OBARIS (2020–2022)
  • Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction / Breit, A., Waltersdorfer, L., Ekaputra, F. J., Karampatakis, S., Miksa, T., & Käfer, G. (2023). Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction. In The Semantic Web : 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28–June 1, 2023, Proceedings (pp. 609–624). https://doi.org/10.1007/978-3-031-33455-9_36
    Project: OBARIS (2020–2022)
  • Towards a Toolbox for Automated Assessment of Machine-Actionable Data Management Plans / Miksa, T., Suchánek, M., Slifka, J., Knaisl, V., Ekaputra, F. J., Kovacevic, F., Ningtyas, A. M., El-Ebshihy, A. M., & Pergl, R. (2023). Towards a Toolbox for Automated Assessment of Machine-Actionable Data Management Plans. Data Science Journal, 22, Article 28. https://doi.org/10.5334/dsj-2023-028
  • Towards A Knowledge Graph-based Exploratory Search for Privacy Engineering / Herwanto, G. B., Ekaputra, F. J., Piroi, F., & Sabou, M. (2023). Towards A Knowledge Graph-based Exploratory Search for Privacy Engineering. In B. Fu, P. Lambrix, H. Li, S. Nunes, & C. Pesquita (Eds.), Proceedings of the 8th International Workshop on the Visualization and Interaction for Ontologies, Linked Data and Knowledge Graphs, co-located with the 22nd International Semantic Web Conference (ISWC 2023) (pp. 49–56).

2022

  • Towards A Data Repository for Educational Factories / Ekaputra, F. J., Weise, M., Flicker, K., bin Salleh, Mohd. R., Abd Rahman, Md. N., Muhamad Azwan, A. R., Miksa, T., & Rauber, A. (2022, November 2). Towards A Data Repository for Educational Factories [Conference Presentation]. 8th International Conference on Data and Software Engineering (ICoDSE 2022), Denpasar, Bali, Indonesia. https://doi.org/10.34726/2944
    Download: Presentation, 25 slides (1.23 MB)
  • Towards a Standardized Description of Semantic Web Machine Learning Systems / Ekaputra, F. J., Waltersdorfer, L., Breit, A., & Sabou, M. (2022). Towards a Standardized Description of Semantic Web Machine Learning Systems. In U. Simsek, D. Chaves-Fraga, T. Pellegrini, & S. Vahdat (Eds.), Proceedings of Poster and Demo Track and Workshop Track of the 18th International Conference on Semantic Systems, co-located with 18th International Conference on Semantic Systems (SEMANTiCS 2022). http://hdl.handle.net/20.500.12708/190042
    Project: OBARIS (2020–2022)
  • Knowledge Engineering and Knowledge Management: 23rd International Conference, EKAW 2022, Bolzano, Italy, September 26--29, 2022, Proceedings / Corcho, O., Hollink, L., Kutz, O., TROQUARD, N., & Ekaputra, F. J. (Eds.). (2022). Knowledge Engineering and Knowledge Management: 23rd International Conference, EKAW 2022, Bolzano, Italy, September 26--29, 2022, Proceedings (Vol. 1). Springer Nature. http://hdl.handle.net/20.500.12708/190027
    Project: OBARIS (2020–2022)
  • Towards an Open Translation Environment for Supporting Translators in the Materials Domain / Ekaputra, F. J., Piroi, F., Noeske, M., Friis, J., Calvio, A., Konchakova, N. A., Foidl, R., Leite Cavalcanti, W., Foschini, L., Hagelien, T., Mora, A., Andersen, C., & Andreon, B. (2022). Towards an Open Translation Environment for Supporting Translators in the Materials Domain. In E. M. Sanfilippo, M.-H. Karray, D. Kyritsis, & A. Sarkar (Eds.), Proceedings of the 12th International Workshop on Formal Ontologies meet Industry (FOMI 2022). http://hdl.handle.net/20.500.12708/190044
  • DCSO: towards an ontology for machine-actionable data management plans / Cardoso, J., Castro, L. J., Ekaputra, F. J., Jacquemot-Perbal, M.-C., Suchánek, M., Miksa, T., & Borbinha, J. (2022). DCSO: towards an ontology for machine-actionable data management plans. Journal of Biomedical Semantics, 13, Article 21. https://doi.org/10.1186/s13326-022-00274-4
    Download: Article (2.65 MB)
    Projects: OBARIS (2020–2022) / SPFBT (2020–2026)
  • A Lifecycle Framework for Semantic Web Machine Learning Systems / Breit, A., Waltersdorfer, L., Ekaputra, F. J., Miksa, T., & Sabou, M. (2022). A Lifecycle Framework for Semantic Web Machine Learning Systems. In Database and Expert Systems Applications - DEXA 2022 Workshops (pp. 359–368). https://doi.org/10.1007/978-3-031-14343-4_33
    Project: OBARIS (2020–2022)
  • Semantic-enabled Architecture for Auditable Privacy-Preserving Data Analysis / Ekaputra, F. J., Ekelhart, A., Mayer, R., Miksa, T., Šarčević, T., Tsepelakis, S., & Waltersdorfer, L. (2022). Semantic-enabled Architecture for Auditable Privacy-Preserving Data Analysis. Semantic Web: Interoperability, Usability, Applicability, 1–34. https://doi.org/10.3233/sw-212883
  • Enabling Exploratory Search on Manufacturing Knowledge Graphs / Haller, K., Ekaputra, F. J., Sabou, M., & Piroi, F. (2022). Enabling Exploratory Search on Manufacturing Knowledge Graphs. In B. Fu, P. Lambrix, & C. Pesquita (Eds.), Proceedings of the Seventh International Workshop on the Visualization and Interaction for Ontologies and Linked Data co-located with the 21st International Semantic Web Conference (ISWC 2022) (pp. 16–28). http://hdl.handle.net/20.500.12708/190023

2021

2020

  • Semantics for Cyber-Physical Systems: A Cross-Domain Perspective / Sabou, M., Biffl, S., Einfalt, A., Krammer, L., Kastner, W., & Ekaputra, F. J. (2020). Semantics for Cyber-Physical Systems: A Cross-Domain Perspective. Semantic Web, 11(1), 115–124. https://doi.org/10.3233/sw-190381
  • Cross-Platform File System Activity Monitoring and Forensics – A Semantic Approach / Kurniawan, K., Ekelhart, A., Kiesling, E., & Ekaputra, F. J. (2020). Cross-Platform File System Activity Monitoring and Forensics – A Semantic Approach. In ICT Systems Security and Privacy Protection (pp. 384–397). Springer. https://doi.org/10.1007/978-3-030-58201-2_26
  • User consent modeling for ensuring transparency and compliance in smart cities / Fernández, J. D., Sabou, M., Kirrane, S., Kiesling, E., Ekaputra, F. J., Azzam, A., & Wenning, R. (2020). User consent modeling for ensuring transparency and compliance in smart cities. Personal and Ubiquitous Computing, 24(4), 465–486. https://doi.org/10.1007/s00779-019-01330-0
  • Towards semantic representation of machine-actionable Data Management Plans / Cardoso, J., Garcia Castro, L. J., Ekaputra, F. J., Jacquemot-Perbal, M.-C., Miksa, T., & Borbinha, J. (2020). Towards semantic representation of machine-actionable Data Management Plans. In DaMaLOS - 1st Workshop on Data and Research Objects Management for Linked Open Science : Co-located at the International Semantic Web Conference ISWC 2020 (p. 9). PUBLISSO. https://doi.org/10.4126/FRL01-006423289
  • Simulation Support for Explainable Cyber-Physical Energy Systems / Aryan, P. R., Ekaputra, F. J., Sabou, M., Hauer, D., Mosshammer, R., Einfalt, A., Miksa, T., & Rauber, A. (2020). Simulation Support for Explainable Cyber-Physical Energy Systems. In 2020 8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems. IEEE. https://doi.org/10.1109/mscpes49613.2020.9133700

2019

  • The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity / Kiesling, E., Ekelhart, A., Kurniawan, K., & Ekaputra, F. (2019). The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity. In The Semantic Web – ISWC 2019 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part II (pp. 198–214). https://doi.org/10.1007/978-3-030-30796-7_13
  • Technical Debt Analysis in Parallel Multi-Disciplinary Systems Engineering / Biffl, S., Ekaputra, F. J., Lüder, A., Pauly, J.-L., Rinker, F., Waltersdorfer, L., & Winkler, D. (2019). Technical Debt Analysis in Parallel Multi-Disciplinary Systems Engineering. In 2019 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2019), Kallithea, Chalkidiki, Greece. IEEE. https://doi.org/10.1109/seaa.2019.00059

2018

2017

  • Towards Open Data Mashups for Data Journalism / Ekaputra, F. J., Novak, N. M., Kiesling, E., Aryan, P. R., Do, B. L., Trinh, T. D., & Tjoa, A. M. (2017). Towards Open Data Mashups for Data Journalism. In J. D. Fernández & S. Hellmann (Eds.), Proceedings of the Posters and Demos Track of the 13th International Conference on Semantic Systems - SEMANTiCS2017 co-located with the 13th International Conference on Semantic Systems (SEMANTiCS 2017) (p. 6). CEUR Workshop Proceedings. http://hdl.handle.net/20.500.12708/56853
  • Generation of Simulation Models in MATLAB-Simulink Based on AutomationML Plant Description / Novák, P., Ekaputra, F. J., & Biffl, S. (2017). Generation of Simulation Models in MATLAB-Simulink Based on AutomationML Plant Description. In IFAC-PapersOnLine (pp. 7613–7620). Elsevier Ltd. https://doi.org/10.1016/j.ifacol.2017.08.1027
  • Continuous Architectural Knowledge Integration: Making Heterogeneous Architectural Knowledge Available in Large-Scale Organizations / Musil, J., Ekaputra, F. J., Sabou, M., Ionescu, T., Schall, D., Musil, A., & Biffl, S. (2017). Continuous Architectural Knowledge Integration: Making Heterogeneous Architectural Knowledge Available in Large-Scale Organizations. In 2017 IEEE International Conference on Software Architecture (ICSA). 1st IEEE International Conference on Software Architecture (ICSA 2017), Göteborg, Sweden. IEEE. https://doi.org/10.1109/icsa.2017.28
  • Linked data processing provenance / Trinh, T.-D., Aryan, P. R., Do, B.-L., Ekaputra, F. J., Kiesling, E., Rauber, A., Wetz, P., & Tjoa, A. M. (2017). Linked data processing provenance. In Proceedings of the International Conference on Web Intelligence. International Conference on Web Intelligence 2017, Leipzig, Germany. ACM. https://doi.org/10.1145/3106426.3106495
  • Semantic Web Technologies for Data Integration in Multi-Disciplinary Engineering / Sabou, M., Ekaputra, F. J., & Biffl, S. (2017). Semantic Web Technologies for Data Integration in Multi-Disciplinary Engineering. In S. Biffl, A. Lüder, & D. Gerhard (Eds.), Multi-Disciplinary Engineering for Cyber-Physical Production Systems (pp. 301–329). Springer. https://doi.org/10.1007/978-3-319-56345-9_12
  • A Linked Data Platform for Trans-disciplinary Research on the Transformation of Traditional Architecture in Indonesia / Kiesling, E., Tjoa, A. M., Ekaputra, F. J., & Herbig, U. (2017). A Linked Data Platform for Trans-disciplinary Research on the Transformation of Traditional Architecture in Indonesia. Journal of Comparative Cultural Studies in Architecture, 10, 42–46. http://hdl.handle.net/20.500.12708/148073
  • Ontology Based Data Integration in Multi-Disciplinary Engineering Environments: A Review / Ekaputra, F. J., Sabou, R. M., Kiesling, E., Serral Asensio, E., & Biffl, S. (2017). Ontology Based Data Integration in Multi-Disciplinary Engineering Environments: A Review. Open Journal of Information Systems, 4(1), 26. http://hdl.handle.net/20.500.12708/147440

2016

  • Semantic Web Solutions in Engineering / Sabou, R. M., Kovalenko, O., Ekaputra, F. J., & Biffl, S. (2016). Semantic Web Solutions in Engineering. In S. Biffl & M. Sabou (Eds.), Semantic Web for Intelligent Engineering Applications (pp. 281–296). Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-41490-4_11
  • Semantic Data Integration: Tools and Architectures / Mordinyi, R., Serral Asensio, E., & Ekaputra, F. J. (2016). Semantic Data Integration: Tools and Architectures. In S. Biffl (Ed.), Semantic Web for Intelligent Engineering Applications (pp. 181–217). Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-41490-4_8
  • Knowledge Change Management and Analysis in Engineering / Ekaputra, F. J. (2016). Knowledge Change Management and Analysis in Engineering. In Semantic Web for Intelligent Engineering Applications. Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-41490-4_7
  • Supporting the Engineering of Cyber-Physical Production Systems with the AutomationML Analyzer / Sabou, R. M., Ekaputra, F. J., & Kovalenko, O. (2016). Supporting the Engineering of Cyber-Physical Production Systems with the AutomationML Analyzer. In Proceedings of the CPPS Workshop. CPPS Workshop, Wien, Austria. IEEE. http://hdl.handle.net/20.500.12708/56869
  • AutomationML Review Support in Multi-Disciplinary Engineering Environments / Winkler, D., Ekaputra, F. J., & Biffl, S. (2016). AutomationML Review Support in Multi-Disciplinary Engineering Environments. In Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (pp. 1–8). IEEE. http://hdl.handle.net/20.500.12708/56794
  • Investigating model slicing capabilities on integrated plant models with AutomationML / Mordinyi, R., Winkler, D., Ekaputra, F. J., Wimmer, M., & Biffl, S. (2016). Investigating model slicing capabilities on integrated plant models with AutomationML. In 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA). 21st IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016), Berlin, Germany, EU. IEEE. https://doi.org/10.1109/etfa.2016.7733556

2015

  • Ontology Change in Ontology-Based Information Integration Systems / Ekaputra, F. J. (2015). Ontology Change in Ontology-Based Information Integration Systems. In F. Gandon, R. M. Sabou, H. Sack, C. d’Amato, P. Cudre-Mauroux, & A. Zimmermann (Eds.), The Semantic Web. Latest Advances and New Domains: 12th European Semantic Web Conference, ESWC 2015, Portoroz, Slovenia, May 31 -- June 4, 2015. Proceedings (pp. 711–720). Springer. https://doi.org/10.1007/978-3-319-18818-8_44
  • Knowledge Change Management and Analysis for Multi-Disciplinary Engineering Environments / Ekaputra, F. J., Sabou, R. M., Serral Asensio, E., & Biffl, S. (2015). Knowledge Change Management and Analysis for Multi-Disciplinary Engineering Environments. In Posters&Demos@SEMANTiCS 2015 and DSci15 Workshop (pp. 13–17). CEUR. http://hdl.handle.net/20.500.12708/56312
  • Beiträge des Semantic Web zum Engineering für Industrie 4.0 / Sabou, R. M., Kovalenko, O., Ekaputra, F. J., & Biffl, S. (2015). Beiträge des Semantic Web zum Engineering für Industrie 4.0. In Handbuch Industrie 4.0. Springer. http://hdl.handle.net/20.500.12708/28901
  • Modeling AutomationML: Semantic Web technologies vs. Model-Driven Engineering / Kovalenko, O., Wimmer, M., Sabou, R. M., Lüder, A., Ekaputra, F. J., & Biffl, S. (2015). Modeling AutomationML: Semantic Web technologies vs. Model-Driven Engineering. In 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA). 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2015), Luxembourg, EU. IEEE. https://doi.org/10.1109/etfa.2015.7301643
  • Collaborative Exchange of Systematic Literature Review Results / Ekaputra, F. J., Sabou, M., Serral, E., & Biffl, S. (2015). Collaborative Exchange of Systematic Literature Review Results. In Proceedings of the 24th International Conference on World Wide Web. 24th International Conference on World Wide Web, WWW 2015, Florence, EU. ACM. https://doi.org/10.1145/2740908.2742027

2014

  • Automating Cross-Disciplinary Defect Detection in Multi-Disciplinary Engineering Environments / Kovalenko, O., Serral Asensio, E., Sabou, M., Ekaputra, F. J., Winkler, D., & Biffl, S. (2014). Automating Cross-Disciplinary Defect Detection in Multi-Disciplinary Engineering Environments. In Knowledge Engineering and Knowledge Management. 19th Conference on Knowledge Engineering and Knowledge Management (EKAW), Linköping,Sweden, EU. Springer. http://hdl.handle.net/20.500.12708/55836
  • Supporting Information Sharing for Reuse and Analysis of Scientific Research Publication Data / Ekaputra, F. J., Sabou, M., Serral Asensio, E., & Biffl, S. (2014). Supporting Information Sharing for Reuse and Analysis of Scientific Research Publication Data. In Proceedings of the 4th Workshop on Semantic Publishing (Sepublica), co-located with the 11th Extended Semantic Web Conference (ESWC), Volume 1155 (p. 12). CEUR. http://hdl.handle.net/20.500.12708/55304
  • Towards a semantic knowledge base on threats to validity and control actions in controlled experiments / Biffl, S., Kalinowski, M., Ekaputra, F., Neto, A. A., Conte, T., & Winkler, D. (2014). Towards a semantic knowledge base on threats to validity and control actions in controlled experiments. In Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement - ESEM ’14. 8th International Symposium on Empirical Software Engineering and Measurement (ESEM 2014), Torino, Italien, EU. ACM. https://doi.org/10.1145/2652524.2652568
  • Building Empirical Software Engineering Bodies of Knowledge with Systematic Knowledge Engineering / Biffl, S., Kalinowski, M., Ekaputra, F. J., Serral Asensio, E., & Winkler, D. (2014). Building Empirical Software Engineering Bodies of Knowledge with Systematic Knowledge Engineering. In Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering (SEKE) (pp. 552–559). Knowledge Systems Institute Graduate School. http://hdl.handle.net/20.500.12708/55757
  • Efficient Data Integration and Communication Issues in Distributed Engineering Projects and Project Consortia / Winkler, D., Ekaputra, F. J., Serral Asensio, E., & Biffl, S. (2014). Efficient Data Integration and Communication Issues in Distributed Engineering Projects and Project Consortia. In Proceedings of the 14th International Conference on Knowledge Technologies and Data-Driven Business (I-KNOW). 14th International Conference on Knowledge Technologies and Data-Driven Business (I-KNOW), Graz, Austria. ACM. http://hdl.handle.net/20.500.12708/55851
  • Building an Empirical Software Engineering Research Knowledge Base from Heterogeneous Data Sources / Ekaputra, F. J., Serral Asensio, E., & Biffl, S. (2014). Building an Empirical Software Engineering Research Knowledge Base from Heterogeneous Data Sources. In Proceedings of the 14th International Conference on Knowledge Technologies and Data-Driven Business (I-KNOW). 14th International Conference on Knowledge Technologies and Data-Driven Business (I-KNOW), Graz, Austria. ACM. http://hdl.handle.net/20.500.12708/55834

2013

  • An analysis framework for ontology querying tools / Ekaputra, F. J., Serral Asensio, E., Winkler, D., & Biffl, S. (2013). An analysis framework for ontology querying tools. In Proceedings of the 9th International Conference on Semantic Systems, I-SEMANTICS 2013 (pp. 1–8). ACM. http://hdl.handle.net/20.500.12708/54939