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Web2Touch @IEEE WETICE 2022 : Web2Touch 2022: Data Science Technologies for Collective Knowledge Integration and Sharing


When Jun 29, 2022 - Jul 1, 2022
Where Stuttgart, Germany
Submission Deadline Mar 11, 2022
Notification Due Apr 1, 2022
Final Version Due May 6, 2022

Call For Papers

Web2Touch 2022: Data Science Technologies
for Collective Knowledge Integration and Sharing

Conference Track @ 31th IEEE WETICE 2022
29 June - 1 July, 2022 in Stuttgart, Germany



Web2Touch (W2T) is since 2008 an open forum to discuss solutions, based on
advanced Web technologies, for relevant themes to society, such as education,
social inclusion and health. New advances in Web-based systems are the driver
for changes in cooperative activities occurring in smart environments,
communities, urban and rural areas, where human tasks are more and more
performed via the Internet and the Web. Both Web practitioners and ordinary
users are exploiting in rapidly-varying ways the richness of Web platforms to
support a multitude of activities, from daily operations to strategic decision
making. The focus of the track is on knowledge acquisition, interlinking,
disambiguation, refinement, validity and maintenance. Such topics currently
rely on massive data and rely on Data Science techniques employing the Web, the
Internet, Artificial Intelligence and Knowledge Management under the ‘no harm’,
safety, security, privacy and ethics principles.

W2T deepens the concept of working and learning together by exploring decision
assistance, collective intelligence, smart environments, intentions-based
analysis, and other collaborative web-based ways of problem solving. In the
urban scenario, for example, Internet of Everything (IoE) systems are currently
able to capture massive data collections describing urban environments as well
as citizen exploitation and perception of available services. In health care
systems, for instance, digital health knowledge allows storing a variety of
information about patients as adopted treatments and monitored physiological
conditions, while the Internet of Medical Things (IoMT) ensures the
availability and processing of healthcare data through smart medical devices
and the web. Moreover, in most domains, cooperation plays a crucial role in
generating data, specifying knowledge, driving a user and context aware
analysis process, and finally demanding an easily accessible and understandable
knowledge at the end of the process.

W2T aims at exploring the state-of-the-art on these topics and users’ practical
experiences, as well as trends and research, paving the way for cutting-edge
collaborative approaches to knowledge engineering and sharing.

In the previous editions of W2T, best papers were published in International
Journals, such as Journal of Web Portals (2011 and 2013), Concurrency and
Computation and Collaborative Enterprise (2013), Future Generation Computer
Systems (2015 and 2016), and Springer Nature Computer Science (2019, 2020).

Topics Covered

W2T concerns improvements to cooperative work obtained through enhanced
acquisition, organization and management of knowledge. Examples are data
science models and tools to represent adaptive, dynamic and shared-knowledge
context-aware Web applications, new domains of application of semantic
techniques, such as Industry 4.0, Big Data, social networks, IoE, enhanced
connectivity, and mobile technologies. W2T is also about practical experiences
in both well established and emerging interdisciplinary applications, including
eHealth, smart cities and companies, eLearning, and digital cultural heritage.
Contributions addressing one or more of the following topics are expected:

+ Knowledge Acquisition, Representation, Refinement and Validity
- Knowledge engineering and reuse
- Ontology alignment, validation and fusion
- Data interlinking, validation and fusion
- Knowledge and data quality assessment
- Machine learning approaches for knowledge graph refinement
+ Shared and collaborative knowledge management
- Data integration from and across different sources and formats/semantics including Big Data, linked open data, crowdsourced data, social data, knowledge networks data
- Crowdsourcing techniques for semantic collaboration and platform self-maintenance
- Semantics in mobile Web, wearable devices, edge computing, cross-device content management and delivery
- Semantic annotations, ‘semantifying’ collaborative Web sources and semantic technologies for information Extraction Transformation and Loading (ETL)
- Knowledge extraction for data integration and interlinking by means of (interpretable) machine learning techniques
+ Collaborative Web engineering and applications
- Experiences and best practices in the Web for collaborative work and business
- Collaborative Web in Data Science, Data quality, privacy and ethics/fairness in cooperative Web-based predictions and decision making
- Experiences derived from the analysis of publicly available datasets

Important Dates

- Submission deadline: March 11th, 2022
- Notification to authors : April 1st, 2022
- Camera ready submission : May 6th, 2022
- Authors registration deadline: May 6th, 2022
- Conference: June 29th—July 1st, 2022


Rodrigo BONACIN, CTI, Brazil
Mariagrazia FUGINI, Politecnico di Milano, Italy
Riccardo MARTOGLIA, UniMoRe, Italy
Olga NABUCO, CTI, Brazil
Fatiha SAIS, Paris Saclay University, France

Program Committee

Weronika T. ADRIAN, AGH University of Science and Technology, Poland
Frederic ANDRES, National Institute of Informatics, Japan
Ismael BOUASSIDA, ReDCAD, University of Sfax, Tunisia
Jarbas Lopes CARDOSO JUNIOR, CTI, Brazil
Wojciech CELLARY, Poznan University of Economics, Poland
Raja CHIKY, ISEP, France
Antonio Carlos Theophilo COSTA JUNIOR, CTI, Brazil
Marcos DA SILVEIRA, LIST, Luxembourg
Katia Regina Evaristo DE JESUS, Embrapa, Brazil
Pilar M.GUERRIERI, Politecnico di Milano, Italy
Julio Cesar DOS REIS, Computer Science Institute, Unicamp, Brazil
Yucong DUAN, CS Department, Hainan University, China
Emna HACHICHA BELGHITH, Ecole Francaise d'Extreme Orient, France
Umair ul HASSAN, The Insight Centre for Data Analytics, Ireland
Sergio ILARRI, University of Zaragoza, Spain
Anum JAVAID, National University of Sciences & Technology, Pakistan
Manuela MONTANGERO, UniMoRe, Italy
Dilvan MOREIRA, ICMC, USP, Brazil
Cedric PRUSKI, LIST, Luxembourg
Gianluca QUERCINI, Centrale-Supelec, France
Joe RAAD, Vrije Universiteit Amsterdam, Netherlands
Ivan RICARTE, FT-Unicamp, Brazil
Ferrucio De Franco ROSA, CTI, Brazil
Ramon SALVADOR VALLES, UPC-Barcelona Tech, Spain
Lina SOUALMIA, Universite de Rouen et CHU de Rouen, France
Mahsa TEIMOURIKIA, Intact DataLab, Canada
Virginie THION, Universite Rennes 1, France

Paper Submission

Papers submitted to W2T 2022 must be written in English, formatted according to
IEEE WETICE 2022 instructions (, and submitted
in PDF format. Papers should be up to six (6) pages (including figures, tables
and references) for full papers, four (4) pages for short papers. Papers should
contain original contributions not published or submitted elsewhere. Papers
have to be submitted through Easychair
( Consider, and for your questions.

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