SSWS+QuWeDa 2021

SSWS

SSWS 2021 is the 14th edition of the successful Scalable Semantic Web Knowledge Base Systems workshop series. This 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

QuWeDa

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.

This workshop at the International Semantic Web Conference 2021 (ISWC 2021) 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

  • Efficient representation

  • Indexing

  • Caching and replication

  • Storage techniques

  • Real-time data warehousing from Web data

• Querying the Web of Data

  • Centralized, decentralized, federated, and distributed

  • Source selection

  • Lightweight Linked Data interfaces

  • Web streams processing

  • Big Data techniques

  • Entailment regimes

  • Read and write queries

  • Linked Data documents and embedded Linked Data

  • Query relaxation and rewriting

• Benchmarking Web of Data

  • Benchmarks

  • Ranking

  • Measures and metrics

  • Performance evaluation

• Integrating different sources

  • Querying non-Linked Data sources

  • Combining public and private Linked Data

  • Querying personal Linked Data stores

• Query languages for the Web

  • Domain-specific query languages (e.g., temporal and spatial queries)

  • Alternative languages for representing and querying the Web of Data

  • GraphQL applications and optimizations