22 November 2021
More than ever, reducing the cost of data integration by efficiently evaluating queries is an important challenge, given that today the economic cost in computing cycles (see your cloud invoice); and in energy consumption and the performance required for some critical tasks have become important. Besides, new applications require solving even more complex queries including millions of sources, and data with high levels of volume and variety. These challenges call for intelligent processes that can learn from previous experiences, that can be adaptable to changing requirements and dynamic execution contexts.
This workshop follows a first and second successful editions in conjunction with ICSOC 2019 in Toulouse, and ICSOC 2020 in Abu Dhabi (online) that led to vivid programs with interesting discussions (https://straps-workshop.github.io) and keynotes that provided reference on trend problems addressed in academia and industry around STRAPS topics.
The third edition of the workshop STRAPS aims at promoting scientific discussion on the way data produced under different conditions can be efficiently integrated to answer simple, relational, analytical queries according to the following conditions:
These queries must cope to quality preferences associated with providers, algorithms and data trust.
New scales in volume, velocity and value associated with integrated data collections require adapted solutions providing computing, storage and processing services potentially deployed on different highly distributed infrastructures and target architectures.
With service, data and algorithms stemming from different and potentially huge numbers of providers, properties like provenance, quality and trust, arise as key properties to be quantified, evaluated and exposed to data consumers. How can data integration in such conditions be smart? This is the key question to be discussed by workshop participants.
The workshop STRAPS aims at promoting scientific discussion on the way data stemming from different providers and produced under different conditions can be efficiently integrated to answer simple, relational, analytical queries ensuring providers, algorithms and data trust.
We invite the submission of work-in-progress research addressing various aspects of data integration and processing done in service-based infrastructures. The workshop welcomes submissions of technical, experimental, methodological papers, application papers, and papers on experience reports in real-life application settings addressing – though not limited to – the following topics:
We expect papers written in English between 8 and 12 Springer’s LNCS pages long ( Springer LNCS format), including references and Illustrations. Electronic submissions in PDF format can be proposed at the conference workshops submission site.
Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register and attend the workshop to present the paper. Registration is subject to the terms and conditions of ICSOC.
A selected number of papers will be invited to be submitted as extended versions to be published in an edition of Proceedings series « Advances in Computer Science Research ».
Submission deadlines :
Given that the general conference has gone officially online, organisers have authorised a longer period of submission for workshops. Therefore we have decided to organise 2 submission rounds with the following deadlines:
- 1 round: Submission: 25th September, Notification of results: 15th October
- 2 round: Submission: 20th October, Notification of results: 13th November
Papers submitted in the first round, if not accepted, will have the opportunity to be submitted again in the following round. Authors wiil be able to integrate evaluation comments from reviewers to prepare a new submission.
DUBAI, UAE, TIME (GMT+4) zoomLink Code:qbCd44
15:00-15:15 | Opening Joint Session STRAPS - ISYCC, Workshop organisers |
Chair: Chirine Ghedira-Guégan, IAE Université Jean Moulin, Lyon 3, LIRIS, France | |
15:15-16:15 | Keynote Community Detection Technology for Mining Healthcare dataset Mourad Oussalah, University of Oulu, Finland
slides |
16:20-16:45 | Streaming and visualising neuronal signals for understanding pain Javier A. Espinosa-Oviedo, U. Lumière Lyon 2, France video, slides |
16:45-17:00 | Comparing graph data science libraries for querying and analysing datasets: towards data science queries on graphs (short paper) Genoveva Vargas-Solar, CNRS, France, Pierre Marrec, ENS-Lyon, France and Mirian Halfeld Ferrari Alves, U. Orléans, France video, slides |
17:00-17:10 | Coffee Break |
Chair: Mohammad Amin Kuhail, Zayed University, UAE | |
17:10-18:10 | Keynote Smart Data Integration of Environmental Datasets José Ramón Ríos Viqueira, Univ. of Santiago de Compostela, CITUS research center, Spain
slides |
18:10-18:35 | Graph analytics workflows enactment on just in time data centres - Position Paper Ali Akoglu, U. Arizona, USA, José-Luis Zechinelli-Martini, UDLAP, Mexico, Hamamache Kheddouci, U. Claude Bernard, France and Genoveva Vargas-Solar, CNRS, France video, slides |
18:35-18:50 | Data centred intelligent Geosciences: Research agenda and Opportunities - Position Paper (short paper) Aderson Farias Nascimento, UFRN, Brazil, Martin Musicante, UFRN, Brazil, Umberto Souza da Costa, UFRN, Brazil, Bruno Mota de Carvalho, UFRN, Brazil video, slides |
Chair: Nadia Bennani, INSA Lyon, LIRIS, France | |
18:50-19:15 | Gamification for healthier lifestyle – User Retention Shabih Fatima, Juan Carlos Augusto, Ralph Moseley and Povilas Urbonas, Middlesex University, United Kingdom video, slides |
19:15-19:25 | SUMMIT project (invited paper) Chirine Ghedira Guégan, IAE Université Jean Moulin, Lyon 3, France, Nadia Bennani, INSA Lyon, France, Genoveva Vargas-Solar, CNRS, France video, slides |
19:25-19:30 | Closing, Workshop organisers |
Smart Data Integration of Environmental Datasets
José Ramón Ríos Viqueira, Univ. of Santiago de Compostela, CITUS research center
Community Detection Technology for Mining Healthcare dataset
Mourad Oussalah, University of Oulu