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All tracks/topics are open to both research and industry contributions. Tracks: Basics on semantics Fundamental of semantics processing; Semantic-based techniques for feature selection; Semantic-based pruning; Semantic interoperability; Semantics uncertainty; Semantics pre-processing and post-processing; Semantics harmonization; Constraint-based semantics processing; Embedded semantics into the discovery process; Semantics in spatial and spatio-temporal models Ontology fundamentals for semantic processing Ontology learning; Ontology for semantic interoperability; Ontologies and data pre-processing; Ontology-based evaluation and semantic patterns; Global core ontologies; Progressive ontologies; Bridging semantics through ontologies; Ontology mapping and ontology visualization; Ontology in information systems; Ontology-based semantic mediation; Ontology design and maintenance for conceptual model integration; Reverse engineering of ontologies from conceptual models Semantic technologies Basics of Ontology and Semantic Web; Semantic storing, computing, representation, communications; Semantic-driven system design; Syntactic and semantic processing models; Hardware and software support for semantic processing; Microprocessors for semantic processing; Multi-model semantic systems; Semantic annotation of multimedia supports; Semantic multimedia information retrieval; Natural language semantic processing; Context-based semantic processing; Content-based semantic processing; Scalability to the Web level; Performance in semantic processing; Information security in semantic processing Semantic Deep Web Ontology plug-in search; Information extraction from the Deep Web /e-commerce sites/; Semantic Deep Web annotation and indexing; Deep Web-based ontology; Semantic Deep Web crawlers; Semantic browsing and visualization; Semantic Deep Web data fusion; Semiautomatic ontology generation; Metrics for quality of ontology; Similarity measures for ontology alignment; Measurements for quality of search; Tools for semantic Deep Web Semantic reasoning Reasoning methods; Reasoning for the Web; Ontology expressiveness; Ontology alignment, mapping and merging; Expressing formal semantics; Languages (RDF, RDF Schema, OWL, etc); Robustness of reasoning on the Web; Patterns on semantic reasoning; Querying and searching; Scalable and tolerant reasoning; Dynamic reasoning for the Semantic Web; Ontologies and problem-solving methods; Computational learning theory; Approximate reasoning/computing; Strategies for abstraction and compression of information; Cognitive semantic reasoning; Attention semantic scoping; Recency-based self-optimizing memory; Cost-benefit trade-off reasoning models; Negotiation in obtaining near-optimal reasoning results under bounded resources Semantic content searching Methodologies for innovative information retrieval technologies; Combinatorial search; Massive search-spaces with heuristics (e.g., based on Monte Carlo simulations); Searching using metadata, semantics, and ontology; Advanced searching in digital libraries; Advanced use of RDF and OWL; Expressiveness of the content ontologies; Inherent inconsistency and incompleteness of data on the Web; Scalability of semantic processing; Specialized search engines (Hakia, Matrixware and seekda) Hypertext and hypermedia semantic Hypertext techniques and semantic applications; Hypertext and ontologies; Hypertext semantic models; Spatial semantic hypertext; Self-organized hypertext; Semantic adaptive hypertext; Web and hypertext link analysis; Hypertexts and semantic Web; Hypertext semantic applications Semantic voice-video-speech (VVS) searching Engines and methods for VVS advanced searching; Patterns in VVS searching; Contextual VVS searching; Rapid VVS searching; Accuracy in VVS searching; Noise in VVS searching; Performance in VVS searching; Metrics for VVS searching; Text and VVS searching; Applications of VVS Semantic multimedia Efficient storage of structured data that scale to a very large size; Automatic generation of multimedia presentations; Advanced process for multimedia information mining; Semantic metadata extraction; Annotation tools and methods for content semantics; Media ontology generation/learning/reasoning; Semantic multimedia streaming; Semantics enabled multimedia applications /annotation/browsing/storage/retrieval/visualization Semantic social media Community detection and evolution in social media; Recommendation and ranking systems; Search in social media; Event detection, trend identification and tracking in social media; Influence, trust and reputation in social media; Opinion/sentiment analysis, polarity identification; Feed distillation and ranking blogs; Mining microblogging and real time data; Folksonomy, tag semantics, clustering and usage; Advertising models for the social web; Indexing social media content, index freshness; Visualizing social network data; Spam detection, social network spam and profile spam Semantic networking Semantic-based QoS (Quality of Service) control and scheduling; Semantic QoE (Quality of Experience) evaluation; Semantic-based Internet data streaming and delivery; Semantics enabled networking and middleware; Semantic routing; Semantic interfaces Domain-oriented semantic applications Semantics for managing pharmaceutical data; Semantic processing for biomedical knowledge; Speech, text and picture recognition; Semantic email workflow and content; Semantic blogs and wikis; Semantic email addressing; Semantic web and digital libraries; Semantic processing in e-Health; Semantic-driven tutoring systems Economics and governance of semantics technologies Organizational views; Legal; Business; Regulations; Assessment; Standards; Harmonization; Cross-nation mediation Semantic applications/platforms/tools Market for semantic technologies; Applications, services and systems based on semantic processing; User friendly semantic system integration tools; Ontology-based data transformation and data migration tools; Ontology mapping tools and languages; Ontology-enabled interoperability in e-science, life sciences, e-business, culture; Commercial cost models for semantic applications; Semantic solutions for business intelligence; Semantic processing platforms ; Supporting ontology platforms/tools (Protégé, etc); Semantic query languages (SPARQL, etc); Ontology-enabled search engines; Semantic Web search engines; Interoperability of data, systems, and organizations; Experiments and lessons learned; Standard activities |
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