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Semantic Big Data

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When :  2017-05-19

Where :  Raleigh,USA

Submission Deadline :  2017-01-15

Categories :   DBWorld: Database Management Systems ,  Data Mining      

Semantic Big Data (SBD 2017)

Raleigh,USA

May 19, 2017.

Call For Papers

The current World-Wide Web enables an easy, instant access to a vast amount of online information. However, the content in the Web is typically for human consumption, and is not tailored for machine processing. The Semantic Web is hence intended to establish a machine-understandable Web, and is currently also used in many other domains and not only in the Web. The World Wide Web Consortium (W3C) has developed a number of standards around this vision. Among them is the Resource Description Framework (RDF), which is used as the data model of the Semantic Web. The W3C has also defined SPARQL as the RDF query language, RIF as the rule language, and the ontology languages RDFS and OWL to describe schemas of RDF. The usage of common ontologies increases interoperability between heterogeneous data sets, and the proprietary ontologies with the additional abstraction layer facilitate the integration of these data sets. Therefore, we can argue that the Semantic Web is ideally designed to work in heterogeneous Big Data environments. 

Topics of Interest

  • Semantic Data Management, Query Processing and Optimization in
  • Big Data
  • Cloud Computing
  • Internet of Things
  • Graph Databases
  • Federations
  • Spatial and Spatio-Temporal Data
  • Evaluation strategies for Semantic Big Data of Rule-based Languages like RIF and SWRL
  • Ontology-based Approaches for Modeling, Mapping, Evolution and Real-world ontologies in the context of Semantic Big Data
  • Reasoning Approaches (Real-World Applications, Efficient Algorithms) especially designed for Semantic Big Data environments
  • Linked Data
  • Integration of Heterogeneous Linked Data
  • Real-World Applications
  • Statistics and Visualizations
  • Quality
  • Ranking Techniques
  • Provenance
  • Mining and Consuming Linked Data
  • Semantic Web stream processing (Dynamic Data, Temporal Semantics)
  • Semantic Internet of Things
  • Semantic Smart Homes/Companies/Cities
  • Performance, Evaluation and Benchmarking of Semantic Web Technologies, Applications and Databases
  • Semantic Web Services
  • Semantic Big Data Archives
  • Efficient Archiving and Preservation Techniques
  • Evolution Representation
  • Compression Approaches
  • Querying Techniques
  • Semantic Big Data on Emergent Hardware Technologies
  • FPGA
  • GPU
  • SSD
  • Main-Memory Databases

IMPORTANT DATES

  • Submission deadline: January 15, 2017.
  • Notification Due: March 8, 2017.
  •           

    User Name : Anika
    Posted 27-09-2016 on 09:24:37 AEDT


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