[esip-semantictech] CFP - International Workshop on Semantic Big Data 2018

[Robert Downs]

FYI

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CALL FOR PAPERS
International Workshop on Semantic Big Data (SBD 2018)

In conjunction with ACM SIGMOD 2018

June 10, 2018, Houston, USA
Submission: February 10, 2018

Web: http://www.ifis.uni-luebeck.de/~groppe/sbd
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** 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. According to
http://stats.lod2.eu/ the current freely available Semantic Web data is
approximately 150 billion triples in about 3,000 datasets, many of which
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
    - 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


** Workshop Chairs **

- Sven Groppe, University of Luebeck, Germany
- Le Gruenwald, University of Oklahoma, USA


** Program Committee **

- Muhammad Intizar Ali, Insight, National University of Ireland, Galway
- Carlos Buil Aranda, Universidad Tecnica Federico Santa Maria, Chile
- Mithun Balakrishna, Lymba Corporation, USA
- Isabel Cruz, University of Illinois at Chicago, USA
- Paulo Rupino da Cunha, University of Coimbra, Portugal
- Melike Sah Direkoglu, Near East University, North Cyprus
- Julian Dolby, IBM Research, USA
- Vadim Ermolayev, Zaporizhzhya National University, Ukraine
- Javier D. Fernandez, Vienna University of Economics and Business, WU
Vienna, Austria
- Carlos Juiz Garcia, Universitat de les Illes Balears, Spain
- Katja Gilly de La Sierra-Llamazares, Miguel Hernandez University, Spain
- Ekaterini Ioannou, Open University of Cyprus
- Prudhvi Janga, University of Cincinnati and Amazon Web Services, USA
- Ioannis Konstantinou, National Technical University of Athens, Greece
- Herbert Kuchen, University of Muenster, Germany
- Isaac Lera, Universitat de les Illes Balears, Spain
- Xiang Lian, Kent State University, USA
- Qing Liu, CSIRO, Australia
- Ioana Manolescu, INRIA and Ecole Polytechnique, France
- Daniel Miranker, The University of Texas at Austin, USA
- Grazyna Paliwoda-Pekosz, Cracow University of Economics, Poland
- Nikolaos Papailiou, National Technical University of Athens, Greece
- Alfredo Pulvirenti, University of Catania, Italy
- Sherif Sakr, School of Computer Science and Engineering University of New
South Wales, Australia
- Omair Shafiq, Carleton University, Canada
- Marta Tatu, Lymba Corporation, USA
- Martin Theobald, University of Luxembourg, Luxembourg
- Konstantinos Tserpes, Harokopio University of Athens, Greece
- Dimitrios Tsoumakos, Department of Informatics, Ionian University, Greece
- Xiang Zhao, National University of Defense Technology, China
- Weiguo Zheng, Chinese University of Hong Kong, China
- Dimitrios Zissis, University of the Aegean, Greece


** Important Dates **

Submission: February 10, 2018
Notification: April 16, 2018
Workshop: June 10, 2018


** Submission **

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

Manuscripts should be formatted using the camera-ready templates in the ACM
proceedings double-column format according to the "sigconf" proceedings
template. Long papers cannot exceed 6 pages in length. Short papers and
demo papers cannot exceed 4 pages in length.

Accepted papers will be published online in the ACM digital library.

We describe manuscript preparation and submission procedure at
http://www.ifis.uni-luebeck.de/~groppe/sbd/submit

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Robert R. Downs, PhD
Senior Digital Archivist and Senior Staff Associate Officer of Research
Acting Head of Cyberinfrastructure and Informatics Research and Development
Center for International Earth Science Information Network (CIESIN),
The Earth Institute, Columbia University
P.O. Box 1000, 61 Route 9W, Palisades, NY 10964 USA
Voice: 845-365-8985; fax: 845-365-8922
E-mail: rdowns at ciesin.columbia.edu
Columbia University CIESIN Web site: http://www.ciesin.columbia.edu
ORCID: 0000-0002-8595-5134
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