Semantic Big Data (SBD 2020)

Workshop @ ACM SIGMOD 2020


International Workshop on
Semantic Big Data (SBD 2020)
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The International Workshop on Semantic Big Data (SBD 2020)

In conjunction with ACM SIGMOD 2020

Aims of the Workshop

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.

We define Semantic Big Data as the intersection of Semantic Web data and Big Data. There are masses of Semantic Web data freely available to the public - thanks to the efforts of the linked data initiative. Many of these freely available Semantic Web datasets are accessible via SPARQL query servers called SPARQL endpoints. Everyone can submit SPARQL queries to SPARQL endpoints via a standardized protocol, where the queries are processed on the datasets of the SPARQL endpoints and the query results are sent back in a standardized format. Hence, not only Semantic Big Data is freely available, but also distributed execution environments for Semantic Big Data are freely accessible. This makes the Semantic Web an ideal playground for Big Data research.

The goal of this workshop is to bring together academic researchers and industry practitioners to address the challenges and report and exchange the research findings in Semantic Big Data, including new approaches, techniques and applications, make substantial theoretical and empirical contributions to, and significantly advance the state of the art of Semantic Big Data.

Categories of Papers

The workshop solicits papers of different categories:

  • Research Papers propose new approaches, theories or techniques related to Semantic Big Data including new data structures, algorithms and whole systems. They should make substantial theoretical and empirical contributions to the research field.

  • Experiments and Analysis Papers focus on the experimental evaluation of existing approaches including data structures and algorithms for Semantic Big Data and bring new insights through the analysis of these experiments. Results of Experiments and Analysis Papers can be, for example, showing benefits of well-known approaches in new settings and environments, opening new research problems by demonstrating unexpected behavior or phenomena, or comparing a set of traditional approaches in an experimental survey.

  • Application Papers report practical experiences on applications of Semantic Big Data. Application Papers might describe how to apply Semantic Web technologies to specific application domains with big data demands like social networks, web search, e-business, collaborative environments, e-learning, medical informatics, bioinformatics and geographic information system. Application Papers might describe applications using linked data in a new way.

  • Vision Papers identify emerging new or future research issues and directions, and describe new research visions having demands for Semantic Big Data. The new visions will potentially have great impacts on society.

  • Demo Papers deal with innovative systems and applications for Semantic Big Data. These papers describe a showcase of the proposed system/application, but may also explain the novelty of the system's architecture. We are especially interested in demonstrations having a WOW-effect.

For all categories (except for demo papers), we accept two different types of papers: Short and Full papers. The length of full papers cannot exceed 6 pages. The length of all other papers (i.e., short and demo papers) cannot exceed 4 pages. Accepted full and short papers will be presented in oral presentations. Demo papers will be presented as part of a combined demo and poster session. All accepted full and short papers will also be presented as posters in the combined demo and poster session in order to increase interactivity and discussion with the audience.

Topics of Interest

We welcome papers on the following topics:

  • 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 (linking algorithms, heuristics, identity resolution, schema matching, clustering)
    • Real-World Applications (data browsers, search engines, marketplaces, aggregators, indexes, enterprise applications using LOD, LOD applications for social sciences, digital humanities, life-sciences)
    • Statistics and Visualizations
    • Quality Assessment (evaluating the quality and trustworthiness, tracking the provenance, profiling and change tracking)
    • Cleansing (data fusion, truth discovery, conflict resolution, crowdsourcing)
    • Ranking Techniques
    • Provenance
    • Mining and Consuming Linked Data (large-scale derivation of implicit knowledge, using LOD as background knowledge in data mining)

  • 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

  • Semantic Wikis

    • Verification of Content
    • Bias in Content/Gaps of Knowledge
    • Detection of Incorrect or Low-Quality Content, Fake News
    • Collaborative Content Creation and Editor Decisions
    • Dynamics of Discussion, of Collaborative Content Creation and of Reuse
    • Detection of Hidden Knowledge
    • Ontology Learning

Important Dates

Time Schedule
Submission (extended): March 4, 2020
Notification: March 31, 2020
Workshop: June 19, 2020

Diversity Considerations of the Program Committee

We have currently recruited 27 PC members and chairs listed below who are experts in the topics of interest of our workshop. The current PC members and chairs are selected from 12 nations all over the world as shown also by the map below. While most PC members are from academia, we have 4 experts also from industry (15%). 9 of the PC members and chairs are women (33%).


Program committee members and chairs: 1  8

Program Committee Chairs

Program Committee

  • Mithun Balakrishna, Lymba Corporation, USA
  • Paolo Ceravolo, Università degli Studi di Milano, Italy
  • Julian Dolby, IBM Research, USA
  • Vadim Ermolayev, Zaporizhzhia National University, Ukraine
  • Katja Gilly de La Sierra-Llamazares, Miguel Hernandez University, Spain
  • Jinghua Groppe, University of Lübeck, Germany
  • Ekaterini Ioannou, Tilburg University
  • Isaac Lera, Universitat de les Illes Balears, Spain
  • Xiang Lian, Kent State University, USA
  • Qing Liu, Data61, CSIRO, Australia
  • Ioana Manolescu, INRIA and Ecole Polytechnique, France
  • Daniel Miranker, The University of Texas at Austin, USA
  • Grażyna Paliwoda-Pękosz, Cracow University of Economics, Poland
  • Alfredo Pulvirenti, University of Catania, Italy
  • Praveen Rao, University of Missouri, USA
  • Arjun Satish, Confluent Inc., USA
  • Omair Shafiq, Carleton University, Canada
  • Marta Tatu, Lymba Corporation, USA
  • Konstantinos Tserpes, Harokopio University of Athens, Greece
  • Dimitrios Tsoumakos, Department of Informatics, Ionian University, Greece
  • Benjamin Warnke, University of Lübeck, Germany
  • Robert Wrembel, Poznan University of Technology, Poland
  • Xiang Zhao, National University of Defense Technology, China
  • Dimitrios Zissis, University of the Aegean, Greece

Evaluation of Papers

To verify the originality of submissions, we will use Plagiarism Detection Tools to check the content of the submitted manuscripts against previous publications.

Papers will be evaluated according to the following aspects:

  • Relevance to the Workshop
  • Novelty and practical impact
  • Technical soundness
  • Appropriateness and adequacy of:
    • Literature review
    • Background discussion
    • Analysis of issues
  • Presentation, including:
    • Overall organization and structure
    • Correctness of English language
    • Readability

Accepted Papers

The list of accepted papers is not yet available. Please check our Important Dates page.


The program is not yet available. Please check our Important Dates page.

Manuscript Preparation

Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum.

Manuscripts should be submitted electronically as PDF files using this webpage and be formatted using the camera-ready templates in the ACM proceedings double-column format according to the "sigconf" proceedings template. Papers cannot exceed 6 pages in length.

Accepted papers will be published online in the ACM digital library. The papers must include the standard ACM copyright notice on the first page.

The pdf version of your paper should consider the following items:

  • The pdf be optimized for fast web viewing.

  • The pdf should apply the ACM Computing Classification categories and terms (CCS concepts). The ACM templates provide space for this indexing and please consider the Computing Classification Scheme.

  • The pdf should contain the keywords.

  • The pdf should have the rights management statement and bibliographic strip on the bottom of the first page left column.

  • Please start numbering your paper with page number 1.

  • The pdf should have Type 1 fonts (scalable), not Type 3 (bit-mapped). All fonts MUST be embedded within the PDF file (to be corrected in the source files before the PDF is generated according to ACM documentation).

Submission to International Workshop on Semantic Big Data (SBD 2020)

Please submit your manuscript by carefully filling in the information in the following web form. If there are technical problems, you may also submit your manuscript by sending the information and the manuscript to .

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