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.

OBJECTIVE

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:

• SLA models for data integration/data management
• Service based data processing and querying
• Data services composition on cloud and multi-cloud
• Trust and privacy in Cloud/Edge services
• Data and service provenance
• Data quality: evaluation, estimation, warranties
• Microservices based data integration systems
• Multi-scale data integration: learning-based, logic-based, (semi)-automatic, context aware, on the Web etc.
• AI and data integration / Smart Big data integration
• Data integration for smart applications
• Innovative data integration platforms
• Data Cleaning, Curation, Filtering and Dissemination, Metadata Management, Data Discovery, Semantic Web, Heterogeneous and Federated data sources
• Blockchain and data integration
• AI in Edge Computing (Edge AI)
• IoT Data integration through Edge services
• Web services in Edge clouds
• Cloud & Fog Computing
• User eXperience & Human in the loop in data integration and management

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 ».

IMPORTANT DATES

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.

• Camera Ready: Post proceedings 
• Authors Registration deadline: 15th November 2021
• Workshops: November 22nd, 2021

DUBAI, UAE, TIME (GMT+4) zoomLink Code:qbCd44

Join the Slack Channel

• Ali Akouglu, Arizona University, USA
• Joao Batista Souza, IFRN, Brazil
• Khalid Belhajjame, University Paris Dauphine, LAMSADE, France
• Umberto Costa, UFRN, Brazil
• Javier A. Espinosa Oviedo, University of Lyon, ERIC, France
• Carmem Hara, Universidade Federal do Parana, Brazil
• Michael Mrissa, University of Primorska, Slovenia
• Alex Palesandro, D2SI, France
• Pierluigi Plebani, Politecnico di Milano, Italy
• Placido Antonio Souza Neto, IFRN, Brazil
• Nicolas Travers, De Vinci Research Centre, Département Informatique, Big Data et Objets Connectés, France
• José Luis Zechinelli Martini, Universidad de las Américas Puebla, México

• 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