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Web2Touch 2021: Deep Knowledge Methods
for Information Sharing and Web Collaboration
http://web2touch2021.gear.host/
Conference Track @ 30th IEEE WETICE 2021
Basque Coast - Bayonne, France, June 23-25, 2021
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<<<< CALL FOR PAPERS >>>>
Objectives
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Web2Touch (W2T), since its early days, is committed to bringing solutions for
collaborative work using the Web. New advances in Web-based systems are the
driver for changes in cooperative activities occurring in smart environments,
cities, communities, or 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. Based on these considerations, the W2T track
considers knowledge sharing based on software engineering, on artificial
intelligence, and on knowledge engineering (e.g. ontologies, taxonomies,
etc.). The focus of the track is on information creation, maintenance,
disambiguation, interlinking, veracity and security. Reasoning and deep
learning techniques are considered, since these lead to better decisions or
awareness of reality and its events. W2T deepens the concept of working
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
Things (IoT) systems capture massive data collections describing the overall
urban environment as well citizen exploitation and perception of available
services. In health care systems, electronic health records allow 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, which started in 2007, 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).
Topics Covered
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W2T concerns improvements to cooperative work obtained through enhanced
organization and management of knowledge. Examples are models and tools to
represent dynamic changes in shared information, context-aware Web
applications, new domains of application of semantic techniques, such as
Industry 4.0, Big Data, social networks, Internet of Things, 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:
+ Ontologies, Knowledge Graphs and Reasoning
- Ontology tools, ontology engineering, reuse and integration
- Knowledge quality assessment
- Knowledge discovery in knowledge graphs
- Knowledge and data provenance
- Automatic reasoning on complex data and knowledge
- Deep learning and machine learning approaches for knowledge graphs
+ Shared and collaborative knowledge management
- Data integration and interlinking 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)
+ Collaborative Web engineering and applications
- Experiences and best practices in deep Web for collaborative work and business
- Collaborative Web in interdisciplinary applications, such as Web science, eHealth,
smart environments, smart factories in Industry 4.0, and cultural heritage
- Data quality and fairness in cooperative Web-based predictions and decision making
- Experiences derived from the analysis of publicly available datasets, such as:
Computer Science Education (e.g., Blackbox, Engage-csedu), MOOC (e.g., Coursera, EdX),
Computer Virology (e.g., Genoma, Drebin), Healthcare, Bioinformatics (e.g., Dream Challenges).
Important Dates
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- Submission deadline: March 10, 2021
- Notification to authors: April 25, 2021
- Camera ready submission: May 15, 2021
- Conference: June 23-25, 2021
Chairs
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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
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Frederic ANDRES, National Institute of Informatics, Japan
Ismael BOUASSIDA, ReDCAD, University of Sfax, Tunisia
Wojciech CELLARY, Poznan University of Economics, Poland
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, Universite de Namur ASBL, Belgium
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, CadMakers, Vancouver, Canada
Virginie THION, Universite Rennes 1, France
Paper Submission
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Papers submitted to W2T 2021 must be written in English, formatted according
to IEEE WETICE 2021 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 (link on website). Consider
rodrigo.bonacin@gmail.com, olgafernanda@gmail.com and
mariagrazia.fugini@polimi.it for your questions.