Workshop Motivation

This year the workshop is a joint event of the fifteenth edition of the successful Scalable Semantic Web Knowledge Base Systems workshop (SSWS) together with the workshop on Storing, Querying and Benchmarking the Web of Data (QuWeDa).


The SSWS workshop provides a forum for discussing application-oriented issues of Semantic Technologies, with the focus on the development and deployment of systems that turn large volumes of real-world data into actionable knowledge at industry domains. This imposes significant scalability requirements on storage and processing systems and demands for reliable workflows to curate and validate data from various sources. SSWS furthermore invites contributions that integrate methods and results from research on Property Graphs found in graph databases for instance as well as approaches that combine Knowledge Graphs with machine learning.

SSWS welcomes submissions that address relevant research results, report on real-world deployments as well as describe benchmarks and capable back ends or system architectures.

The workshop will be centered on the discussion of the following aspects:

  • recent ideas and advances towards building scalable knowledge base systems
  • parallelization or optimization of RDF/OWL storage, reasoning and SPARQL querying
  • use-cases presenting Semantic Technologies at industry scale
  • performance evaluations and related principles, methodologies or tools
  • tools and workflows supporting validation and curation of semantic data from various sources
  • approaches to integrate symbolic with sub-symbolic methods such as machine learning
  • combining technology and methods from Property Graphs, RDF Graphs, and OWL reasoning
  • identification of important issues and future research directions with respect to the topics above

As in previous years the SSWS workshop is co-located with the International Semantic Web Conference (ISWC 2021). This year in Athens, Greece.

The workshop day is on November starting at 14:00 CET, 2021


The constant growth of Linked Data on the Web raises new challenges for querying and integrating massive amounts of data across multiple datasets. Such datasets are available through various interfaces, such as data dumps, Linked Data Platform, SPARQL endpoints and Triple Pattern Fragments. In addition, various sources produce streaming data. Efficiently querying these sources is of central importance for the scalability of Linked Data and Semantic Web technologies. To exploit the massive amount of data to its full potential, users should be able to query and combine this data easily and effectively. This workshop at the International Semantic Web Conference (ISWC) seeks original articles describing theoretical and practical methods and techniques for fostering, querying, consuming, and benchmarking the Web of Data.

The workshop seeks original articles describing theoretical and practical methods and techniques for fostering, querying, and consuming the Data Web. Topics relevant to this workshop include - but are not limited to - the following:

  • Representing and Storing Web of Data
  • Querying the Web of Data
  • Benchmarking Web of Data
  • Integrating different sources
  • Query languages for the Web

Please see also