Publications of Jan Hidders

2017
Driving Innovation Through Big Open Linked Data (BOLD): Exploring Antecedents Using Interpretive Structural Modelling
Yogesh Kumar Dwivedi, Marijn Janssen, Emma L. Slade, Nripendra P. Rana, Vishanth Weerakkody, Jeremy Millard, Jan Hidders, Dhoya Snijders: Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling. Information Systems Frontiers 19(2): 197-212 (2017)
Finding AND-OR Hierarchies in Workflow Nets
Jacek Sroka, Jan Hidders: Finding AND-OR Hierarchies in Workflow Nets. CoRR abs/1701.02199 (2017)
J-Logic: Logical Foundations for JSON Querying
Jan Hidders, Jan Paredaens, Jan Van den Bussche: J-Logic: Logical Foundations for JSON Querying. PODS 2017: 137-149
2016
A Formal and Unified Description of XML Manipulation Languages
Jan Hidders, Jan Paredaens: A Formal and Unified Description of XML Manipulation Languages. Fundam. Inform. 145(4): 429-470 (2016)
DatalogRA: datalog with recursive aggregation in the spark RDD model
Marek Rogala, Jan Hidders, Jacek Sroka: DatalogRA: datalog with recursive aggregation in the spark RDD model. GRADES 2016: 3
Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015
Marijn Janssen, Matti Mäntymäki, Jan Hidders, Bram Klievink, Winfried Lamersdorf, Bastiaan van Loenen, Anneke Zuiderwijk: Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Delft, The Netherlands, October 13-15, 2015, Proceedings. Lecture Notes in Computer Science 9373, Springer 2015, ISBN 978-3-319-25012-0
Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond
Foto N. Afrati, Jacek Sroka, Jan Hidders: Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond, BeyondMR@SIGMOD 2016, San Francisco, CA, USA, July 1, 2016. ACM 2016, ISBN 978-1-4503-4311-4
Relational lattices: From databases to universal algebra
Tadeusz Litak, Szabolcs Mikulás, Jan Hidders: Relational lattices: From databases to universal algebra. J. Log. Algebr. Meth. Program. 85(4): 540-573 (2016)
2015
Driving Innovation Using Big Open Linked Data (BOLD) Panel
Yogesh Kumar Dwivedi, Vishanth Weerakkody, Marijn Janssen, Jeremy Millard, Jan Hidders, Dhoya Snijders, Nripendra P. Rana, Emma L. Slade: Driving Innovation Using Big Open Linked Data (BOLD) Panel. I3E 2015: 3-9
Efficient and scalable trie-based algorithms for computing set containment relations
Yongming Luo, George H. L. Fletcher, Jan Hidders, Paul De Bra: Efficient and scalable trie-based algorithms for computing set containment relations. ICDE 2015: 303-314
On Generating Hierarchical Workflow Nets and their Extensions and Verifying Hierarchicality
Jacek Sroka, Piotr Chrzastowski-Wachtel, Jan Hidders: On Generating Hierarchical Workflow Nets and their Extensions and Verifying Hierarchicality. Fundam. Inform. 141(4): 367-398 (2015)
Recent advances in Scalable Workflow Enactment Engines and Technologies
Jan Hidders, Paolo Missier, Jacek Sroka: Recent advances in Scalable Workflow Enactment Engines and Technologies. Future Generation Comp. Syst. 46: 1-2 (2015)
2014
On generating ⁎-sound nets with substitution
Jacek Sroka, Jan Hidders: On generating ⁎-sound nets with substitution. Inf. Syst. 40: 32-46 (2014)
Principles of Guarded Structural Indexing
François Picalausa, George H. L. Fletcher, Jan Hidders, Stijn Vansummeren: Principles of Guarded Structural Indexing. ICDT 2014: 245-256
Relational Lattices
Tadeusz Litak, Szabolcs Mikulás, Jan Hidders: Relational Lattices. RAMICS 2014: 327-343
V for Vicissitude: The Challenge of Scaling Complex Big Data Workflows
Bogdan Ghit, Mihai Capota, Tim Hegeman, Jan Hidders, Dick H. J. Epema, Alexandru Iosup: V for Vicissitude: The Challenge of Scaling Complex Big Data Workflows. CCGRID 2014: 927-932
XPath/XQuery
Jan Hidders, Jan Paredaens: XPath/XQuery. Encyclopedia of Social Network Analysis and Mining 2014: 2425-2432
2013
A graphical user interface for SILK data link discovery framework
Rina Singh, Jan Hidders, Feng Xia, Jialiang Kang: A graphical user interface for SILK data link discovery framework. OpenSym 2013: 24:1-24:2
Bisimulation Reduction of Big Graphs on MapReduce
Yongming Luo, Yannick de Lange, George H. L. Fletcher, Paul De Bra, Jan Hidders, Yuqing Wu: Bisimulation Reduction of Big Graphs on MapReduce. BNCOD 2013: 189-203
External memory K-bisimulation reduction of big graph
Yongming Luo, George H. L. Fletcher, Jan Hidders, Yuqing Wu, Paul De Bra: External memory K-bisimulation reduction of big graphs. CIKM 2013: 919-928
Preface
Jan Hidders, Paolo Missier, Jacek Sroka, Jan Van den Bussche: Preface. Fundam. Inform. 128(3) (2013)
Proceedings of the 2nd ACM SIGMOD Workshop on Scalable Workflow Execution Engines and Technologies, SWEET@SIGMOD 2013
Jan Hidders, Paolo Missier, Jacek Sroka: Proceedings of the 2nd ACM SIGMOD Workshop on Scalable Workflow Execution Engines and Technologies, SWEET@SIGMOD 2013, New York, New York, USA, June 23, 2013. ACM 2013, ISBN 978-1-4503-2349-9
Regularities and dynamics in bisimulation reductions of big graphs
Yongming Luo, George H. L. Fletcher, Jan Hidders, Paul De Bra, Yuqing Wu: Regularities and dynamics in bisimulation reductions of big graphs. GRADES 2013: 13
Report from the second workshop on scalable workflow enactment engines and technology (SWEET'13)
Jacek Sroka, Jan Hidders, Paolo Missier: Report from the second workshop on scalable workflow enactment engines and technology (SWEET'13). SIGMOD Record 42(4): 73-77 (2013)
Representing MapReduce Optimisations in the Nested Relational Calculus
Marek Grabowski, Jan Hidders, Jacek Sroka: Representing MapReduce Optimisations in the Nested Relational Calculus. BNCOD 2013: 175-188
The BTWorld use case for big data analytics: Description, MapReduce logical workflow, and empirical evaluation
Tim Hegeman, Bogdan Ghit, Mihai Capota, Jan Hidders, Dick H. J. Epema, Alexandru Iosup: The BTWorld use case for big data analytics: Description, MapReduce logical workflow, and empirical evaluation. BigData Conference 2013: 622-630
2005
Non-destructive Integration of Form-based Views
Hidders, J., Paredaens, J., Thiran, Ph., Houben, G.J., van Hee, K.: "Non-destructive Integration of Form-based Views", Proceedings of the International Conference on Advances in Databases and Information Systems, ADBIS2005, pp. 74-86, Publ. Springer LNCS 3631, Tallin, Estonia (2005)
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