1.0 Knowledge Engineering / Ontology Engineering 1.1 Knowledge Representation and Reasoning 1.2 Information Management 1.3 Basic Web information technologies 2.0 Semantic Web Infrastructure 2.1 Resource Description Framework / RDFSchema 1.0.1 Methodologies 1.0.2 Ontology population / generation 1.0.3 Maintenance and versioning (dynamics) 1.0.4 Mapping / translation / matching / aligning (heterogeneity) 1.0.5 Validation 1.0.6 Interoperability / Integration 1.0.7 Modularization and Composition 1.0.8 Tools 1.1.1 Logics 1.1.2 Logic Programming 1.1.3 Reasoning 1.2.1 Data Modeling 1.2.2 Database systems 1.3.1 XML 1.3.2 Web data integration 1.3.3 Security 1.3.4 Web services 1.3.5 Personalization techniques 1.3.6 Web data extraction 1.3.7 Architecture of Web Information Systems 2.0.1 Architecture 2.0.2 Semantic Web Services 2.2 Semantic Web Languages 2.3 Ontologies for the Semantic Web 2.2.1 Query Languages 2.2.2 Update Languages 2.4 Semantic Web Rules and Logic 2.5 Proof in the Semantic Web 2.3.1 Ontology representation / Ontology languages / OWL 2.3.2 Ontology Engineering 2.4.1 Rule languages 2.4.2 Rule Markup 2.4.3 Reasoning languages 2.4.4 Reasoning Engines 2.6 Security / trust / privacy in the Semantic Web 2.7 Semantic Web Applications 3.0 Semantic Web Special Topics 2.7.1 Knowledge Management 2.7.2 E-Learning 2.7.3 Bioinformatics 2.7.4 Multimedia 2.7.5 ehealth 2.7.6 ebusiness 2.7.7 Law 2.7.8 Engineering 3.1 Natural language processing / human language technologies 3.2 Social impact of the Semantic Web 3.3 Social networks and Semantic Web 3.4 Peer-to-peer and Semantic Web 3.5 Agents and Semantic Web 3.6 Semantic Grid 3.7 Outreach to industry 3.8 Benchmarking and scalability