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Semantic Web Journal

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 to be machine-processed.

The Semantic Web, which is intended to establish a machine-understandable web, thereby offers a promising and potential solution to mining and analyzing web content. The Semantic Web is currently changing from an emergent trend to a technology used in complex real-world applications.

OJSW publishes regular research papers, short communications, reviews and visionary papers in all aspects of web technologies. There is no restriction on the length of the papers.

  • Regular research papers: being full original findings with adequate experimental research. They make substantial theoretical and empirical contributions to the research field. Research papers should be written as concise as possible.
  • Short communications: reporting novel research ideas. The work represented should be technically sound and significantly advancing the state of the art. Short communications also include exploratory studies and methodological articles.
  • Research reviews: being insightful and accessible overview of a certain field of research. They conceptualize research issues, synthesize existing findings and advance the understanding of the field. They may also suggest new research issues and directions.
  • Visionary papers: identify new research issues and future research directions, and describe new research visions in the field. The new visions will potentially have great impact for the future society and daily life.
  • We are interested in scientific articles on all aspects of semantic web, including but are not limited to the following topics:

  • Semantic Data Management and Optimization
  • Big Data
  • Graph Databases
  • Federations
  • Spatial Data
  • Rule-based Languages like RIF and SWRL
  • Microformats (e.g. RDFa)
  • Ontology-based Approaches for
  • Modelling
  • Mapping
  • Evolution
  • Real-world ontologies
  • Reasoning Approaches
  • Real-World Applications
  • Efficient Algorithms
  • Linked Data
  • Integration of Heterogeneous Linked Data
  • Statistics and Visualizations
  • Quality
  • Ranking Techniques
  • Provenance
  • Mining and Consuming Linked Data
  • Semantic Web stream processing
  • Dynamic Data
  • Temporal Semantics
  • Performance and Evaluation of Semantic Web Technologies
  • Benchmarking for Semantic Web Technologies
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