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This Monday last day for submissions!!!
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CALL FOR PAPERS
International Workshop on Semantic Big Data (SBD 2019)
In conjunction with ACM SIGMOD 2019
July 5, 2019, Amsterdam, The Netherlands
Submission: February 11, 2019 (This Monday!!)
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. 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
** 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
- Paulo Rupino da Cunha, University of Coimbra, Portugal
- Melike Sah Direkoglu, Near East University, North Cyprus
- Julian Dolby, IBM Research, USA
- Vadim Ermolayev, Zaporizhzhia 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
- Herbert Kuchen, University of Muenster, Germany
- 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
- Grazyna Paliwoda-Pekosz, Cracow University of Economics, Poland
- Alfredo Pulvirenti, University of Catania, Italy
- Arjun Satish, Confluent Inc., USA
- 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 11, 2019
Notification: April 16, 2019
Workshop: July 5, 2019
** 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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