Topics

Web application modeling and engineering

  • Analytical approaches for engineering Web applications
  • Conceptual modeling
  • Design patterns and architectural patterns for Web applications
  • Distributed Web user interfaces
  • Domain-specific languages
  • Executable models
  • Model federation, transformation and analysis
  • Model-driven engineering frameworks, methods, processes and tools
  • Processes and methods for engineering Web applications
  • Reverse engineering and re-engineering of Web applications
  • Web content modeling, management and evolution
  • Web service engineering
  • Web user interface design for novel interaction paradigms

Crowdsourcing and Human Computation

  • Crowd engagement and activation strategies
  • Crowd search and Crowd sensing
  • Crowd workflow definition and management
  • Design of collective intelligence and crowdsourcing applications
  • Efficiency of hybrid-human machine systems
  • Human computation and crowdsourcing task design
  • Niche-sourcing and expert-sourcing in social platforms
  • Methods for quality assurance in crowdsourcing and human computation tasks
  • Optimization methods for crowdsourcing and human computation campaigns and workflows
  • Use cases and experiences with human computing and crowdsourcing applications
  • Task search in crowdsourcing platforms
  • Visualization and Quality of Experience in/for human computation and crowdsourcing tasks

Web Composition and Mashup

  • Benchmarks for mashup tool performance and expressiveness
  • Cloud integration
  • Domain-specific mashup approaches
  • End-user programming for mashup development
  • Inter-organizational Web applications: Mashups within enterprises and across enterprises
  • Lightweight data, application, and UI integration
  • Mashup development and end-user Web programming
  • Mashup evolution
  • Mashup quality assessment
  • Mashups of Linked Data services
  • Mobile mashups
  • Model-driven mashup engineering
  • Semantic Web services for automatic service composition
  • Visual and non-visual mashup development metaphors and approaches
  • Web composition models, languages and technologies

Social Web

  • Analysis, structure, and dynamics of social networks
  • Community discovery and link prediction
  • Content customization and adaptation on/using the Social Web
  • Multilingual aspects of the Social Web
  • Privacy, security, reputation, and trust management on the Social Web
  • Query languages for the Social Web
  • Social applications in enterprise environments
  • Social applications of the semantic and mobile Web
  • Social Web applications interoperability
  • Social Web mining and search
  • Social Web systems design, architectures, and computational models
  • User generated content and recommender systems
  • User modeling for/using the Social Web

Semantic Web

  • (Big) Linked Data Application and Mashup Engineering
  • Access Control for the Semantic Web: provenance, security, privacy, and rights management
  • Analysis, Mining and visualization of Linked Data
  • Cloud computing for the Semantic Web
  • Creation and management of Linked Data vocabularies
  • Data quality and data trustworthiness
  • Frameworks and infrastructures for building Semantic Web applications
  • Information Systems Architecture for Semantic Web
  • Linked Data publishing & consumption frameworks
  • Linking of data and artefacts in the software development lifecycle
  • Methodologies for parallel software and data engineering of Web-scale information systems
  • Mobile Semantic Web applications
  • Semantically enabled social platforms and applications: wikis, forums, portals, blogs and microblogs, etc.
  • Stream computation for the Semantic Web
  • Usability of Semantic Web applications

Web of Things

  • Applications, Use cases, and Experiences with Web of Things systems
  • Cloud platforms and services for the Web of Things
  • Context recognition methods (e.g. activity recognition, social-context recognition) with Web Of Things technology
  • Design methods, architectures, and computational models for Web of Things systems
  • Integrating and exploiting novel sources of (social) data from Web of Things devices (e.g. home sensors, wearable sensors, smart textile technologies, etc.)
  • Security, privacy, access control, and sharing of physical things  on the Web
  • Semantic Web and the Web of Things
  • Social interactions and behavior analysis for Web of Things applications fields
  • Social Web and the Web of Things
  • Web-based discovery, search, composition, and physical mashups