Web2Touch 2021

Semantic technologies for smart information sharing and web collaboration

Conference Track @ 30th IEEE WETICE Conference

23-25 June 2021, Basque Coast - Bayonne, France

Topics Covered

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
    • Semantic techniques for cultural progress and community involvement
    • 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).