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Stefan Decker
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- affiliation: RWTH Aachen University
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2020 – today
- 2024
- [c230]Ahmad Hemid, Abderrahmane Khiat, Megha Jayakumar, Christoph Lange, Christoph Quix, Stefan Decker:
Knowledge Graph Creation and Management Made Easy with KGraphX. DEXA (2) 2024: 53-68 - [c229]Ahmad Hemid, Waleed Shabbir, Abderrahmane Khiat, Christoph Lange, Christoph Quix, Stefan Decker:
OntoEditor: Real-Time Collaboration via Distributed Version Control for Ontology Development. ESWC (1) 2024: 326-341 - [c228]Md. Rezaul Karim, Lina Molinas Comet, Md Shajalal, Paola de Perthuis, Dietrich Rebholz-Schuhmann, Stefan Decker:
From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer. HICSS 2024: 5576-5586 - [c227]Johannes Theissen-Lipp, Niklas Schäfer, Max Kocher, Philipp Hochmann, Michael Riesener, Stefan Decker:
Extending Semantic RML Mappings with Additional Source Formats. ICEIS (1) 2024: 201-208 - [c226]Yixin Peng, Yongli Mou, Bozhen Zhu, Sulayman K. Sowe, Stefan Decker:
RWTH-DBIS at LLMs4OL 2024 Tasks A and B Knowledge-Enhanced Domain-Specific Continual Learning and Prompt-Tuning of Large Language Models for Ontology Learning. LLMs4OL@ISWC 2024: 49-63 - [c225]Yongli Mou, Jonathan Lehmkuhl, Nicolas Sauerbrunn, Anja Köchel, Jens Panse, Daniel Truh, Sulayman K. Sowe, Tim H. Brümmendorf, Stefan Decker:
Improving the Quality of Unstructured Cancer Data Using Large Language Models: A German Oncological Case Study. MIE 2024: 685-689 - [c224]Benedikt T. Arnold, Johannes Theissen-Lipp, Diego Collarana, Christoph Lange, Sandra Geisler, Edward Curry, Stefan Decker:
Towards Enabling FAIR Dataspaces Using Large Language Models. SDS@ESWC 2024 - [c223]Rohit A. Deshmukh, Diego Collarana, Joshua Gelhaar, Johannes Theissen-Lipp, Christoph Lange, Benedikt T. Arnold, Edward Curry, Stefan Decker:
Challenges and Opportunities for Enabling the Next Generation of Cross-Domain Dataspaces. SDS@ESWC 2024 - [c222]Johannes Theissen-Lipp, Pieter Colpaert, Sulayman K. Sowe, Edward Curry, Stefan Decker:
Preface for The Second International Workshop on Semantics in Dataspaces (SDS 2024). SDS@ESWC 2024 - [c221]Yongli Mou, Li Liu, Sulayman K. Sowe, Diego Collarana, Stefan Decker:
Leveraging LLMs Few-shot Learning to Improve Instruction-driven Knowledge Graph Construction. VLDB Workshops 2024 - [c220]Daham M. Mustafa, Abhishek Nadgeri, Diego Collarana, Benedikt T. Arnold, Christoph Quix, Christoph Lange, Stefan Decker:
From Instructions to ODRL Usage Policies: An Ontology Guided Approach. VLDB Workshops 2024 - [e18]Johannes Theissen-Lipp, Pieter Colpaert, Sulayman K. Sowe, Edward Curry, Stefan Decker:
Proceedings of the Second International Workshop on Semantics in Dataspaces (SDS 2024) co-located with the 21st Extended Semantic Web Conference (ESWC 2024), Hersonissos, Greece, May 26, 2024. CEUR Workshop Proceedings 3705, CEUR-WS.org 2024 [contents] - [i19]Benedikt T. Arnold, Johannes Theissen-Lipp, Diego Collarana, Christoph Lange, Sandra Geisler, Edward Curry, Stefan Decker:
Towards Enabling FAIR Dataspaces Using Large Language Models. CoRR abs/2403.15451 (2024) - 2023
- [j73]Md. Rezaul Karim, Tanhim Islam, Md Shajalal, Oya Beyan, Christoph Lange, Michael Cochez, Dietrich Rebholz-Schuhmann, Stefan Decker:
Explainable AI for Bioinformatics: Methods, Tools and Applications. Briefings Bioinform. 24(5) (2023) - [c219]Alexander Graß, Christian Beecks, Sisay Adugna Chala, Christoph Lange, Stefan Decker:
A Knowledge Graph for Query-Induced Analyses of Hierarchically Structured Time Series Information. ADBIS (Short Papers) 2023: 174-184 - [c218]Alexander Tobias Neumann, Michal Slupczynski, Yue Yin, Chenyang Li, Stefan Decker:
Citation Recommendation Chatbot for Professional Communities. CollabTech 2023: 52-67 - [c217]Yongli Mou, Feifei Li, Sven Weber, Sabith Haneef, Hans Meine, Liliana Caldeira, Mehrshad Jaberansary, Sascha Welten, Yeliz Ucer Yediel, Guido P. M. Prause, Stefan Decker, Oya Beyan, Toralf Kirsten:
Distributed Privacy-Preserving Data Analysis in NFDI4Health With the Personal Health Train. CoRDI 2023 - [c216]Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, Stefan Decker:
Interpreting Black-box Machine Learning Models for High Dimensional Datasets. DSAA 2023: 1-10 - [c215]Michal Slupczynski, Khaleel Asyraaf Mat Sanusi, Daniel Majonica, Roland Klemke, Stefan Decker:
Implementing Cloud-Based Feedback to Facilitate Scalable Psychomotor Skills Acquisition. MILeS@EC-TEL 2023: 36-43 - [c214]Wolfgang Fahl, Tim Holzheim, Christoph Lange, Stefan Decker:
Semantification of CEUR-WS with Wikidata as a target Knowledge Graph. TEXT2KG/BiKE@ESWC 2023: 205-225 - [c213]Yongli Mou, Jiahang Chen, Zhenghao Zhang, Jürgen Roßmann, Stefan Decker:
Self-sovereign Identity-based Access Control Management in Forestry 4.0. FiCloud 2023: 159-166 - [c212]Yongli Mou, Fengyang Guo, Wei Lu, Yongzhao Li, Oya Beyan, Thomas Rose, Schahram Dustdar, Stefan Decker:
Towards FAIR Data in Distributed Machine Learning Systems. GLOBECOM 2023: 6450-6455 - [c211]Alexander Tobias Neumann, Aaron David Conrardy, Stefan Decker, Matthias Jarke:
Motivating Learners with Gamified Chatbot-Assisted Learning Activities. ICWL 2023: 189-203 - [c210]Alexander Tobias Neumann, Sascha Welten, Julia Kunz, Ralf Klamma, Stefan Decker:
HAICO: A Monitoring and Transaction Chatbot for Distributed Analytics Workflows. ICWS 2023: 707-709 - [c209]Yongli Mou, Jiahui Geng, Feng Zhou, Oya Beyan, Chunming Rong, Stefan Decker:
pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints. PAKDD (2) 2023: 283-294 - [c208]Mehdi Akbari Gurabi, Felix Hermsen, Avikarsha Mandal, Stefan Decker:
Towards Privacy-Preserving Machine Learning in Sovereign Data Spaces: Opportunities and Challenges. Privacy and Identity Management 2023: 158-174 - [c207]Timo Himmelsbach, Yongli Mou, Stefan Decker, Armin Heinzl:
Towards Federated Machine Learning and Distributed Ledger Technology-based Data Monetization. VLDB Workshops 2023 - [c206]Johannes Theissen-Lipp, Stefan Decker, Edward Curry:
The First International Workshop on Semantics in Dataspaces. WWW (Companion Volume) 2023: 1439 - [c205]Johannes Theissen-Lipp, Max Kocher, Christoph Lange, Stefan Decker, Alexander Paulus, André Pomp, Edward Curry:
Semantics in Dataspaces: Origin and Future Directions. WWW (Companion Volume) 2023: 1504-1507 - [i18]Md. Rezaul Karim, Lina Molinas Comet, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker:
A Biomedical Knowledge Graph for Biomarker Discovery in Cancer. CoRR abs/2302.04737 (2023) - [i17]Stefan Decker:
Überprüfung von Integritätsbedingungen in Deduktiven Datenbanken. CoRR abs/2304.09944 (2023) - [i16]Md. Rezaul Karim, Lina Molinas Comet, Md Shajalal, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker:
From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer. CoRR abs/2310.08365 (2023) - 2022
- [j72]Md. Rezaul Karim, Tanhim Islam, Christoph Lange, Dietrich Rebholz-Schuhmann, Stefan Decker:
Adversary-Aware Multimodal Neural Networks for Cancer Susceptibility Prediction From Multiomics Data. IEEE Access 10: 54386-54409 (2022) - [j71]Johannes Theissen-Lipp, Moritz Kröger, Benedikt Heinrichs, Stefan Decker:
LISSU: Continuous Monitoring of SOA Communication with Constraint-Based Validation. SN Comput. Sci. 3(4): 293 (2022) - [j70]Md. Rezaul Karim, Michael Cochez, Achille Zappa, Ratnesh Sahay, Dietrich Rebholz-Schuhmann, Oya Beyan, Stefan Decker:
Convolutional Embedded Networks for Population Scale Clustering and Bio-Ancestry Inferencing. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 369-382 (2022) - [c204]Mehdi Akbari Gurabi, Avikarsha Mandal, Jan Popanda, Robert Rapp, Stefan Decker:
SASP: a Semantic web-based Approach for management of Sharable cybersecurity Playbooks. ARES 2022: 109:1-109:8 - [c203]Jiahui Geng, Ali Akbar Rehman, Yongli Mou, Stefan Decker, Chunming Rong:
Blockchain-based Cross-organizational Workflow Platform. CloudCom 2022: 53-59 - [c202]Johannes Theissen-Lipp, Max Kocher, Michael Rath, Sebastian Ulrich, Maximilian Rudack, Stefan Decker:
Integrating an XPath-Enhanced OPC UA Data Collection Into Industrial Communication. ETFA 2022: 1-8 - [c201]Johannes Theissen-Lipp, Max Kocher, Stefan Decker, Patrick Sapel, Mauritius Schmitz, Christian Hopmann:
Collecting Data and Metadata by Transforming between Differently Expressive Query Languages. ICSC 2022: 225-228 - [c200]Wolfgang Fahl, Tim Holzheim, Andrea Westerinen, Christoph Lange, Stefan Decker:
Property cardinality analysis to extract truly tabular query results from Wikidata. Wikidata@ISWC 2022 - [c199]Wolfgang Fahl, Tim Holzheim, Andrea Westerinen, Christoph Lange, Stefan Decker:
Getting and hosting your own copy of Wikidata. Wikidata@ISWC 2022 - [p5]Thomas Berlage, Carsten Claussen, Sandra Geisler, Carlos A. Velasco, Stefan Decker:
Medical Data Spaces in Healthcare Data Ecosystems. Designing Data Spaces 2022: 291-311 - [e17]Stefan Decker, Francisco José Domínguez Mayo, Massimo Marchiori, Joaquim Filipe:
Proceedings of the 18th International Conference on Web Information Systems and Technologies, WEBIST 2022, Valletta, Malta, October 25-27, 2022. SCITEPRESS 2022, ISBN 978-989-758-613-2 [contents] - [i15]Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Christian Beecks, Stefan Decker:
Interpreting Black-box Machine Learning Models for High Dimensional Datasets. CoRR abs/2208.13405 (2022) - [i14]Md. Rezaul Karim, Hussain Ali, Prinon Das, Mohamed Abdelwaheb, Stefan Decker:
Question Answering Over Biological Knowledge Graph via Amazon Alexa. CoRR abs/2210.06040 (2022) - [i13]Md. Rezaul Karim, Tanhim Islam, Oya Beyan, Christoph Lange, Michael Cochez, Dietrich Rebholz-Schuhmann, Stefan Decker:
Explainable AI for Bioinformatics: Methods, Tools, and Applications. CoRR abs/2212.13261 (2022) - 2021
- [j69]Md. Rezaul Karim, Jiao Jiao, Till Döhmen, Michael Cochez, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker:
DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging. IEEE Access 9: 39757-39780 (2021) - [j68]Md. Rezaul Karim, Oya Beyan, Achille Zappa, Ivan G. Costa, Dietrich Rebholz-Schuhmann, Michael Cochez, Stefan Decker:
Deep learning-based clustering approaches for bioinformatics. Briefings Bioinform. 22(1): 393-415 (2021) - [j67]Sascha Welten, Laurenz Neumann, Yeliz Ucer Yediel, Luiz Olavo Bonino da Silva Santos, Stefan Decker, Oya Beyan:
DAMS: A Distributed Analytics Metadata Schema. Data Intell. 3(4): 528-547 (2021) - [c198]Lars Christoph Gleim, Liam Tirpitz, Stefan Decker:
FactStack. BTW 2021: 371-395 - [c197]Md. Rezaul Karim, Sumon Kanti Dey, Tanhim Islam, Sagor Sarker, Mehadi Hasan Menon, Kabir Hossain, Md. Azam Hossain, Stefan Decker:
DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language. DSAA 2021: 1-10 - [c196]Johannes Lipp, Lars Christoph Gleim, Michael Cochez, Iraklis Dimitriadis, Hussain Ali, Daniel Hoppe Alvarez, Christoph Lange, Stefan Decker:
Towards Easy Vocabulary Drafts with Neologism 2.0. ESWC (Satellite Events) 2021: 21-26 - [c195]Lars Christoph Gleim, Liam Tirpitz, Stefan Decker:
HTTP Extensions for the Management of Highly Dynamic Data Resources. ESWC 2021: 212-229 - [c194]Simon Mangel, Lars Christoph Gleim, Jan Pennekamp, Klaus Wehrle, Stefan Decker:
Data Reliability and Trustworthiness Through Digital Transmission Contracts. ESWC 2021: 265-283 - [c193]Lars Christoph Gleim, Leon Müller, Florian Brillowski, Stefan Decker:
Capturing Provenance Information in the File System. SEMANTiCS (Posters & Demos) 2021 - [c192]Lars Pieschel, Sascha Welten, Lars Christoph Gleim, Stefan Decker:
Teaching Semantic Web Technologies through Interactive Jupyter Notebooks. SEMANTiCS (Posters & Demos) 2021 - [c191]Johannes Lipp, Siyabend Sakik, Moritz Kröger, Stefan Decker:
LISSU: Integrating Semantic Web Concepts into SOA Frameworks. ICEIS (1) 2021: 855-865 - [c190]Yongli Mou, Sascha Welten, Mehrshad Jaberansary, Yeliz Ucer Yediel, Toralf Kirsten, Stefan Decker, Oya Beyan:
Distributed Skin Lesion Analysis Across Decentralised Data Sources. MIE 2021: 352-356 - [c189]Yongli Mou, Jiahui Geng, Sascha Welten, Chunming Rong, Stefan Decker, Oya Beyan:
Optimized Federated Learning on Class-Biased Distributed Data Sources. PKDD/ECML Workshops (1) 2021: 146-158 - [c188]Johannes Lipp, Lars Christoph Gleim, Stefan Decker:
Towards Easy Reusability in the Semantic Web. WOP (Book) 2021: 331-336 - [i12]Leandro Eichenberger, Michael Cochez, Benjamin Heitmann, Stefan Decker:
Secure Evaluation of Knowledge Graph Merging Gain. CoRR abs/2103.00082 (2021) - [i11]Jiahui Geng, Yongli Mou, Feifei Li, Qing Li, Oya Beyan, Stefan Decker, Chunming Rong:
Towards General Deep Leakage in Federated Learning. CoRR abs/2110.09074 (2021) - 2020
- [j66]Lars Christoph Gleim, Md. Rezaul Karim, Lukas Zimmermann, Oliver Kohlbacher, Holger Stenzhorn, Stefan Decker, Oya Beyan:
Enabling ad-hoc reuse of private data repositories through schema extraction. J. Biomed. Semant. 11(1): 6 (2020) - [j65]Oya Beyan, Ananya Choudhury, Johan van Soest, Oliver Kohlbacher, Lukas Zimmermann, Holger Stenzhorn, Md. Rezaul Karim, Michel Dumontier, Stefan Decker, Luiz Olavo Bonino da Silva Santos, Andre Dekker:
Distributed Analytics on Sensitive Medical Data: The Personal Health Train. Data Intell. 2(1-2): 96-107 (2020) - [j64]Lars Christoph Gleim, Jan Pennekamp, Martin Liebenberg, Melanie Buchsbaum, Philipp Niemietz, Simon Knape, Alexander Epple, Simon Storms, Daniel Trauth, Thomas Bergs, Christian Brecher, Stefan Decker, Gerhard Lakemeyer, Klaus Wehrle:
FactDAG: Formalizing Data Interoperability in an Internet of Production. IEEE Internet Things J. 7(4): 3243-3253 (2020) - [j63]Ruijie Wang, Meng Wang, Jun Liu, Michael Cochez, Stefan Decker:
Structured query construction via knowledge graph embedding. Knowl. Inf. Syst. 62(5): 1819-1846 (2020) - [j62]Md. Rezaul Karim, Ashiqur Rahman, Joao Bosco Jares, Stefan Decker, Oya Beyan:
A snapshot neural ensemble method for cancer-type prediction based on copy number variations. Neural Comput. Appl. 32(19): 15281-15299 (2020) - [c187]Md. Rezaul Karim, Till Döhmen, Michael Cochez, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker:
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images. BIBM 2020: 1034-1037 - [c186]Lars Christoph Gleim, Rafael Schimassek, Dominik Hüser, Maximilian Peters, Christoph Krämer, Michael Cochez, Stefan Decker:
SchemaTree: Maximum-Likelihood Property Recommendation for Wikidata. ESWC 2020: 179-195 - [c185]Peder Bergan, Anne-Marie Mölders, Kevin Rehring, Frederik Ahlemann, Stefan Decker, Stefan Reining:
Towards Designing Effective Governance Regimes for Smart City Initiatives: The Case of the City of Duisburg. HICSS 2020: 1-10 - [c184]Stefan Decker:
Persistent Identification for Interoperable Data Management and Preservation. KDIR 2020: 23 - [c183]Lars Christoph Gleim, Stefan Decker:
Timestamped URLs as Persistent Identifiers. MEPDaW@ISWC 2020: 11-16 - [c182]Lars Christoph Gleim, Liam Tirpitz, Jan Pennekamp, Stefan Decker:
Expressing FactDAG Provenance with PROV-O. MEPDaW@ISWC 2020: 53-58 - [c181]Lars Christoph Gleim, Stefan Decker:
Open Challenges for the Management and Preservation of Evolving Data on the Web. MEPDaW@ISWC 2020: 64-70 - [c180]Lars Christoph Gleim, Tim Holzheim, István Koren, Stefan Decker:
Automatic Bootstrapping of GraphQL Endpoints for RDF Triple Stores. ASLD@ISWC 2020: 119-134 - [c179]Stefan Decker:
Persistent Identification for Interoperable Data Management and Preservation. WEBIST 2020: 7 - [i10]Md. Rezaul Karim, Till Döhmen, Dietrich Rebholz-Schuhmann, Stefan Decker, Michael Cochez, Oya Beyan:
DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images. CoRR abs/2004.04582 (2020) - [i9]Sabrina Kirrane, Alessandra Mileo, Axel Polleres, Stefan Decker:
Query Based Access Control for Linked Data. CoRR abs/2007.00461 (2020)
2010 – 2019
- 2019
- [j61]Md. Rezaul Karim, Galih Wicaksono, Ivan G. Costa, Stefan Decker, Oya Beyan:
Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data. IEEE Access 7: 133850-133864 (2019) - [j60]Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker:
Transferring Knowledge from Monitored to Unmonitored Areas for Forecasting Parking Spaces. Int. J. Artif. Intell. Tools 28(6): 1960003:1-1960003:34 (2019) - [c178]Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares, Mamtaz Uddin, Oya Beyan, Stefan Decker:
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network. BCB 2019: 113-123 - [c177]Md. Rezaul Karim, Michael Cochez, Oya Beyan, Stefan Decker, Christoph Lange:
OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data. BIBE 2019: 415-422 - [c176]Ruijie Wang, Meng Wang, Jun Liu, Weitong Chen, Michael Cochez, Stefan Decker:
Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. DASFAA (1) 2019: 659-675 - [c175]Leif Oppermann, Alexander Boden, Britta Hofmann, Wolfgang Prinz, Stefan Decker:
Beyond HCI and CSCW: Challenges and Useful Practices Towards a Human-Centred Vision of AI and IA. HTTF 2019: 37:1-37:5 - [c174]Binh-Phi Nguyen, Thomas J. Reese, Stefan Decker, Daniel C. Malone, Richard D. Boyce, Oya Beyan:
Implementation of Clinical Decision Support Services to Detect Potential Drug-Drug Interaction Using Clinical Quality Language. MedInfo 2019: 724-728 - [c173]Matthias Löbe, Oya Beyan, Sebastian Stäubert, Frank A. Meineke, Danny Ammon, Alfred Winter, Stefan Decker, Markus Löffler, Toralf Kirsten:
Design of Metadata Services for Clinical Data Interoperability in Germany. MedInfo 2019: 1528-1529 - [i8]Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares, Mamtaz Uddin, Oya Beyan, Stefan Decker:
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network. CoRR abs/1908.01288 (2019) - [i7]Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker:
Transferring knowledge from monitored to unmonitored areas for forecasting parking spaces. CoRR abs/1908.03629 (2019) - [i6]Ruijie Wang, Meng Wang, Jun Liu, Michael Cochez, Stefan Decker:
Structured Query Construction via Knowledge Graph Embedding. CoRR abs/1909.02930 (2019) - [i5]Md. Rezaul Karim, Michael Cochez, Oya Beyan, Stefan Decker, Christoph Lange:
OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data. CoRR abs/1909.04169 (2019) - 2018
- [j59]Md. Rezaul Karim, Michael Cochez, Oya Deniz Beyan, Chowdhury Farhan Ahmed, Stefan Decker:
Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach. Inf. Sci. 432: 278-300 (2018) - [c172]Ioannis Konstantinidis, Georgios Siaminos, Christos Timplalexis, Panagiotis Zervas, Vassilios Peristeras, Stefan Decker:
Blockchain for Business Applications: A Systematic Literature Review. BIS 2018: 384-399 - [c171]Paraskevi Christodoulou, Stefan Decker, Aikaterini-Vasiliki Douka, Charalampia Komopoulou, Vassilios Peristeras, Sofia Sgagia, Vaios Tsarapatsanis, Dimosthenis Vardouniotis:
Data Makes the Public Sector Go Round. EGOV 2018: 221-232 - [c170]Piero A. Bonatti, Bert Bos, Stefan Decker, Javier D. Fernández, Sabrina Kirrane, Vassilios Peristeras, Axel Polleres, Rigo Wenning:
Data Privacy Vocabularies and Controls: Semantic Web for Transparency and Privacy. SW4SG@ISWC 2018 - [c169]Sabrina Kirrane, Stefan Decker:
Intelligent Agents: The Vision Revisited. DeSemWeb@ISWC 2018 - [c168]Md. Rezaul Karim, Binh-Phi Nguyen, Lukas Zimmermann, Toralf Kirsten, Matthias Löbe, Frank A. Meineke, Holger Stenzhorn, Oliver Kohlbacher, Stefan Decker, Oya Beyan:
A distributed analytics platform to execute FHIR based phenotyping algorithms. SWAT4LS 2018 - [c167]Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker:
Where to Park?: Predicting Free Parking Spots in Unmonitored City Areas. WIMS 2018: 22:1-22:12 - [i4]Md. Rezaul Karim, Michael Cochez, Oya Beyan, Achille Zappa, Ratnesh Sahay, Stefan Decker, Dietrich Rebholz-Schuhmann:
Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction. CoRR abs/1805.12218 (2018) - [i3]Piero Andrea Bonatti, Stefan Decker, Axel Polleres, Valentina Presutti:
Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web (Dagstuhl Seminar 18371). Dagstuhl Reports 8(9): 29-111 (2018) - 2017
- [j58]Ali Hasnain, Qaiser Mehmood, Syeda Sana e Zainab, Muhammad Saleem, Claude N. Warren Jr., Durre Zehra, Stefan Decker, Dietrich Rebholz-Schuhmann:
BioFed: federated query processing over life sciences linked open data. J. Biomed. Semant. 8(1): 13:1-13:19 (2017) - [j57]Sabrina Kirrane, Alessandra Mileo, Stefan Decker:
Access control and the Resource Description Framework: A survey. Semantic Web 8(2): 311-352 (2017) - [c166]Michael Cochez, Dominik Hüser, Stefan Decker:
The Future of the Semantic Web: Prototypes on a Global Distributed Filesystem. ICDCS 2017: 1997-2006 - [c165]Benjamin Heitmann, Felix Hermsen, Stefan Decker:
k - RDF-Neighbourhood Anonymity: Combining Structural and Attribute-based Anonymisation for Linked Data. PrivOn@ISWC 2017 - [c164]Md. Rezaul Karim, Matthias Heinrichs, Lars Christoph Gleim, Michael Cochez, Emily Porter, Alessandra La Gioia, Saqib Salahuddin, Stefan Decker, Martin O'Halloran, Oya Beyan:
Towards a FAIR Sharing of Scientific Experiments: Improving Discoverability and Reusability of Dielectric Measurements of Biological Tissues. SWAT4LS 2017 - [e16]Christopher Brewster, Michelle Cheatham, Mathieu d'Aquin, Stefan Decker, Sabrina Kirrane:
Proceedings of the 5th Workshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn2017) co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 22, 2017. CEUR Workshop Proceedings 1951, CEUR-WS.org 2017 [contents] - 2016
- [j56]Christophe Debruyne, Oya Deniz Beyan, Rebecca Grant, Sandra Collins, Stefan Decker, Natalie Harrower:
A semantic architecture for preserving and interpreting the information contained in Irish historical vital records. Int. J. Digit. Libr. 17(3): 159-174 (2016) - [c163]Oya Deniz Beyan, Siegfried Handschuh, Adamantios Koumpis, Garyfallos Fragidis, Stefan Decker:
A Framework for Applying Data Integration and Curation Pipelines to Support Integration of Migrants and Refugees in Europe. PRO-VE 2016: 588-596 - [c162]Michael Cochez, Stefan Decker, Eric Prud'hommeaux:
Knowledge Representation on the Web Revisited: The Case for Prototypes. ISWC (1) 2016: 151-166 - [c161]Benjamin Heitmann, Felix Hermsen, Stefan Decker:
Towards the Use of Graph Summaries for Privacy Enhancing Release and Querying of Linked Data. PrivOn@ISWC 2016 - [c160]Oya Beyan, Stefan Decker:
An RDF Based Semantic Approach to Model Temporal Relations in Health Records. SWAT4LS 2016 - [e15]Christopher Brewster, Michelle Cheatham, Mathieu d'Aquin, Stefan Decker, Sabrina Kirrane:
Proceedings of the 4th Workshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn2016) co-located with 15th International Semantic Web Conference (ISWC 2016), Kobe, Japan, October 18th, 2016. CEUR Workshop Proceedings 1750, CEUR-WS.org 2016 [contents] - [i2]Michael Cochez, Stefan Decker, Eric Prud'hommeaux:
Knowledge Representation on the Web revisited: Tools for Prototype Based Ontologies. CoRR abs/1607.04809 (2016) - 2015
- [j55]Catherine Ryan, Rebecca Grant, Eoghan Ó Carragáin, Sandra Collins, Stefan Decker, Nuno Lopes:
Linked data authority records for Irish place names. Int. J. Digit. Libr. 15(2-4): 73-85 (2015) - [j54]Jürgen Umbrich, Aidan Hogan, Axel Polleres, Stefan Decker:
Link traversal querying for a diverse Web of Data. Semantic Web 6(6): 585-624 (2015) - [c159]