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

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

Big Data

• Foundational Models for Big Data

• Algorithms and Programming Techniques for Big Data Processing

• Big Data Analytics and Metrics

• Cloud Computing Techniques for Big Data

• Big Data as a Service

• Big Data Open Platforms

• Big Data Persistence and Preservation

• Big Data Quality and Provenance Control

• Big Data Storage and Retrieval

• Big Data Service Performance Evaluation

• Big Data Service Reliability and Availability

• Real-Time Big Data Services

• Algorithms and Systems for Big Data Search

• Distributed, and Peer-to-peer Search

• Machine learning based on Big Data

• Visualization Analytics for Big Data