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Grounding Stream Reasoning Research

Authors Pieter Bonte , Jean-Paul Calbimonte , Daniel de Leng , Daniele Dell'Aglio , Emanuele Della Valle , Thomas Eiter , Federico Giannini , Fredrik Heintz , Konstantin Schekotihin , Danh Le-Phuoc , Alessandra Mileo , Patrik Schneider , Riccardo Tommasini , Jacopo Urbani , Giacomo Ziffer

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Author Details

Pieter Bonte
  • Department of Computer Science, KU Leuven Campus Kulak, Belgium
Jean-Paul Calbimonte
  • University of Applied Sciences and Arts Western Switzerland HES-SO, Sierre, Switzerland
Daniel de Leng
  • Linköping University, Sweden
Daniele Dell'Aglio
  • Aalborg University, Denmark
Emanuele Della Valle
  • DEIB - Politecnico di Milano, Italy
Thomas Eiter
  • Technische Universität Wien, Austria
Federico Giannini
  • DEIB - Politecnico di Milano, Italy
Fredrik Heintz
  • Linköping University, Sweden
Konstantin Schekotihin
  • Alpen-Adria-Universität Klagenfurt, Austria
Danh Le-Phuoc
  • Technical University Berlin, Germany
Alessandra Mileo
  • Insight Centre for Data Analytics, Dublin City University, Ireland
Patrik Schneider
  • Technische Universität Wien, Austria
  • Siemens AG, Chemnitz, Germany
Riccardo Tommasini
  • INSA Lyon, CNRS LIRIS, France
  • University of Tartu, Estonia
Jacopo Urbani
  • Vrije Universiteit Amsterdam, The Netherlands
Giacomo Ziffer
  • DEIB - Politecnico di Milano, Italy

Funding

J.-P. Calbimonte acknowledges support from the Swiss National Science Foundation under grant No. 213369 (StreamKG), and from the EU Horizon Europe program under grant No. 101092908 (SmartEdge). D. Le-Phuoc is supported by the Deutsche Forschungsgemeinschaft, German Research Foundation under grant number 453130567 (COSMO) and by the Horizon Europe Research and Innovation Actions under grant number 101092908 (SmartEdge). A. Mileo acknowledges support from Science Foundation Ireland (SFI) Grant Number SFI/12/RC/2289_P2, co-funded by the European Regional Development Fund. T. Eiter acknowledges support from the Vienna Science and Technology Fund (WWTF) project ICT22-023 (TAIGER) and the EU Horizon Europe program under grant No. 820437 (Humane AI Net).

Cite AsGet BibTex

Pieter Bonte, Jean-Paul Calbimonte, Daniel de Leng, Daniele Dell'Aglio, Emanuele Della Valle, Thomas Eiter, Federico Giannini, Fredrik Heintz, Konstantin Schekotihin, Danh Le-Phuoc, Alessandra Mileo, Patrik Schneider, Riccardo Tommasini, Jacopo Urbani, and Giacomo Ziffer. Grounding Stream Reasoning Research. In Special Issue on Trends in Graph Data and Knowledge - Part 2. Transactions on Graph Data and Knowledge (TGDK), Volume 2, Issue 1, pp. 2:1-2:47, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/TGDK.2.1.2

Abstract

In the last decade, there has been a growing interest in applying AI technologies to implement complex data analytics over data streams. To this end, researchers in various fields have been organising a yearly event called the "Stream Reasoning Workshop" to share perspectives, challenges, and experiences around this topic. In this paper, the previous organisers of the workshops and other community members provide a summary of the main research results that have been discussed during the first six editions of the event. These results can be categorised into four main research areas: The first is concerned with the technological challenges related to handling large data streams. The second area aims at adapting and extending existing semantic technologies to data streams. The third and fourth areas focus on how to implement reasoning techniques, either considering deductive or inductive techniques, to extract new and valuable knowledge from the data in the stream. This summary is written not only to provide a crystallisation of the field, but also to point out distinctive traits of the stream reasoning community. Moreover, it also provides a foundation for future research by enumerating a list of use cases and open challenges, to stimulate others to join this exciting research area.

Subject Classification

ACM Subject Classification
  • Information systems → Data streams
  • Information systems → Stream management
  • Information systems → Graph-based database models
  • Information systems → Query languages for non-relational engines
  • Computing methodologies → Temporal reasoning
  • Computing methodologies → Description logics
  • Information systems → Semantic web description languages
Keywords
  • Stream Reasoning
  • Stream Processing
  • RDF streams
  • Streaming Linked Data
  • Continuous query processing
  • Temporal Logics
  • High-performance computing
  • Databases

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