The Web of Data

• Large scale triplification and processing of data
• Vocabularies, taxonomies and schemas for the web of data
• Querying, searching and browsing over the web of data
• Data integration and interlinking for the web of data
• Location-based services and mobile semantic applications
• User interaction and innovative visualizations for the web of data
• Reasoning over the web of data
• (Mashup) applications utilizing (large scale) linked data resources
• Recommender systems making use of the web of data
• Integrating microposts into the web of data
• Linked enterprise data and (open) linked government data
• Linked sensor data and machine-to-machine communication

Quality of Semantic Data on the Web

• Provenance information for the web of data
• Large scale ontology inspection, maintenance and repair
• Co-reference detection and dataset reconciliation
• Quality analysis and metrics for the web of data
• Trust, privacy and security in semantic web applications

Corporate Semantic Web

• Corporate thesauri, business vocabularies, ontologies and rules
• Semantic business, e-commerce and m-commerce systems
• Semantic procurement for enterprises and governments
• Semantics, pragmatics and semiotics in organizations
• Enterprise trust and reputation management
• Organisational issues in the deployment and application of semantic technologies

Social Semantic Web

• Enriching social web data and information with semantics and linked data
• Semantically-enabled social platforms and applications
• Users as virtual and physical sensors and devices for a ubiquitous social semantic web
• Semantic based personalization, as e.g. for recommendations, social navigation, collaborative search, social filtering, etc
• Reality augmented by the social semantic web
• Querying, mining and analysis of social semantic web data and dynamics
• Representing and reasoning with uncertainty, provenance, trust in social web data
• Ethical issues related to the use of user generated content & linked data

Semantic Content Engineering

• Collaborative ontology engineering
• Ontology modularity, alignment and merging
• Ontology design patterns and life cycle management
• Ontology learning and knowledge acquisition
• Semantic annotation and tagging
• Making sense of microposts
• Semantic content management systems

Semantic Multimedia

• Semantic-driven multimedia applications
• Multimedia ontologies and infrastructures
• Content-based semantic multimedia analysis and data mining
• Semantic-driven multimedia indexing and retrieval
• Named entity recognition and disambiguation in multimedia documents
• Human-computer interfaces and visualization for multimedia data access

Studies, Metrics & Benchmarks

• Case studies of and benchmarks in semantic systems usage
• Evaluation perspectives, methods and semantic web research methodologies
• Technology assessment and acceptance/reactance research
• Usability and user interaction with semantic technologies
• Case studies with clear lessons learned or evaluations

Data Ecosystems & Markets

• Economic foundations of data assets, markets and data crowd sourcing
• Business and governance models for data commerce
• Production principles and measures of data creation, curation and utilization
• Business models and economic impacts of Linked (Enterprise) Data and/or large scale semantic systems
• Case studies for sector-specific data strategies