Web2Touch 2019

Semantic technologies for smart information sharing and web collaboration

Conference Track @ 28th IEEE WETICE Conference

Capri (Napoli), Italy, June 12-14, 2019

Topics Covered

Web2Touch (W2T) concerns improvements obtained through enhanced organization and management of knowledge. Examples are models and tools to represent dynamic changes in shared information, smart (context-aware) Web applications, and 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, smart companies, entertainment, eLearning, education, and digital agriculture. Contributions addressing one or more of the following topics are expected:

  • Ontologies and Knowledge Graphs
    • Ontology tools, ontology engineering, reuse and integration
    • Knowledge Graph expansion, enrichment, and validation
    • Knowledge and data quality assessment
    • Data profiling and axiom discovery
    • Knowledge and Data provenance
    • Knowledge and Data veracity
  • Semantic sharing and collaborative knowledge management
    • Data integration and interlinking from and across different sources and formats/semantics
    • including big Web data, linked open data, crowdsourced data, social data, knowledge networks data
    • Crowdsourcing techniques for semantic collaboration
    • Use of semantics in mobile Web, wearable and edge computing, and cross-device content management and delivery
    • Semantic annotations, ‘semantifying’ collaborative Web sources and Semantic technologies for information Extraction Transformation and Loading (ETL)
  • Collaborative semantic Web techniques and applications
    • Experiences and best practices in semantic Web support for collaborative work and business
    • Semantic techniques for cultural progress and community involvement
    • Collaborative semantic Web in interdisciplinary applications such as Web science, eHealth, education, entertainment, smart environments, smart factories in the Industry 4.0, and digital agriculture
    • Privacy, security and safety in smart environments (cybersecurity and risks in cybersystems)
  • Experiences analyzing 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)