@article{Bonte:14348,
      recid = {14348},
      author = {Bonte, Pieter and Calbimonte, Jean-Paul and de Leng,  Daniel and Dell’Aglio, Daniele and Della Valle, Emanuele  and Eiter, Thomas and Giannini, Federico and Heintz,  Fredrik and Schekotihin, Konstantin and Le-Phuoc, Danh and  Mileo, Alessandra and Schneider, Patrik and Tommasini,  Riccardo and Urbani, Jacopo and Ziffer, Giacomo},
      title = {Grounding stream reasoning research},
      publisher = {Schloss Dagstuhl – Leibniz-Zentrum für Informatik},
      journal = {Transactions on Graph Data and Knowledge (TGDK)},
      address = {Germany. 2024-05},
      number = {ARTICLE},
      pages = {47 p.},
      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.},
      url = {http://arodes.hes-so.ch/record/14348},
      doi = {https://doi.org/10.4230/tgdk.2.1.2},
}