CALL FOR PAPERS International Workshop on Semantic Big Data (SBD 2016)

Apologies for multiple posting.

International Workshop on Semantic Big Data (SBD 2016)

In conjunction with ACM SIGMOD 2016

1 July 2016, San Francisco, USA
Submission: 15 February 2016


** 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 RDF
query language, RIF as 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 the current freely available
Semantic Web data is approximately 90 billion triples in over 3,300
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.

** Types of Papers **

The workshop solicits papers of different type:
  - 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 e.g. showing benefits of well-known approaches in new
settings and environments, open new research problems by demonstrating
unexpected behavior or phenomena, or compare 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.

** 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, DERI, National University of Ireland, Ireland
- Carlos Buil Aranda, Universidad Tecnica Federico Santa Maria, Chile
- Feng Cao, IBM China Research Laboratory, China
- 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, Zaporozhye National University, Ukraine
- Javier D. Fernandez, Vienna University of Economics and Business, WU
Vienna, Austria
- Carlos Juiz Garcia, Universitat de les Illes Balears, Spain
- Panagiotis Germanakos, University of Cyprus, Cyprus
- Katja Gilly de La Sierra-Llamazares, Miguel Hernandez University, Spain
- Ekaterini Ioannou, Technical University of Crete, Greece
- Prudhvi Janga, University of Cincinnati and Amazon Web Services, USA
- Ioannis Konstantinou, National Technical University of Athens, Greece
- Nectarios Koziris, National Technical University of Athens, Greece
- Herbert Kuchen, University of Muenster, Germany
- Wookey Lee, Inha University, Korea
- Isaac Lera, Universitat de les Illes Balears, Spain
- Xiang Lian, University of Texas - Pan American Texas, USA
- Qing Liu, CSIRO, Australia
- Nuno Lopes, Smarter Cities Technology Centre, IBM Research, Dublin, Ireland
- Fadi Maali, National University of Ireland Galway, Ireland
- Ioana Manolescu, INRIA and Universite Paris-Sud, France
- Daniel Miranker, The University of Texas at Austin, USA
- Z. Meral Oezsoyoglu, Case Western Reserve University, USA
- Grazyna Paliwoda-Pekosz, Cracow University of Economics, Poland
- Nikolaos Papailiou, National Technical University of Athens, Greece
- Richard Picking, Glyndwr University, UK
- Alfredo Pulvirenti, University of Catania, Italy
- Louiqa Raschid, University of Maryland, USA
- Sherif Sakr, School of Computer Science and Engineering University
of New South Wales, Australia
- Ismael Sanz, Universitat Jaume I, Spain
- Stephan Seufert, Trifacta, Inc., USA
- Rudi Studer, Institute AIFB, Karlsruhe Institute of Technology (KIT), Germany
- Dezhao Song, Research and Development of Thomson Reuters, USA
- Martin Theobald, University of Ulm, Germany
- Dimitrios Tsoumakos, Department of Informatics, Ionian University, Greece
- Juergen Umbrich, Vienna University of Economics and Business, Vienna, Austria
- Dongyan Zhao, Peking University Beijing, China
- Xiang ZHAO, National University of Defense Technology, China
- Weiguo Zheng, Chinese University of Hong Kong, China
- Dimitrios Zissis, University of the Aegean, Greece
- Lei Zou, Peking University, China

** Important Dates **

Submission: 15 February 2016
Notification: 22 April 2016
Workshop: 1 July 2016

** 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. Papers cannot exceed 6 pages
in length.

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

We describe manuscript preparation and submission procedure at

Received on Tuesday, 12 January 2016 15:56:25 UTC