SBD 2016 - International Workshop on Semantic Big Data (SBD 2016)

Website http://www.ifis.uni-luebeck.de/~groppe/sbd/2016 | Edit Freely

Category Workshop

Deadline: February 15, 2016 | Date: July 01, 2016

Venue/Country: San Francisco, U.S.A

Updated: 2015-10-09 18:00:42 (GMT+9)

Call For Papers - CFP

http://www.ifis.uni-luebeck.de/~groppe/sbd

at ACM SIGMOD 2016, San Francisco, USA

** 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 http://stats.lod2.eu/ 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 Lübeck, Germany

Le Gruenwald, University of Oklahoma, USA

** Program Committee **

Muhammad Intizar Ali, DERI, National University of Ireland, Ireland

Carlos Buil Aranda, Universidad Técnica Federico Santa María, 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 Şah Direkoglu, Near East University, North Cyprus

Julian Dolby, IBM Research, USA

Vadim Ermolayev, Zaporozhye National University, Ukraine

Javier D. Fernández, Vienna University of Economics and Business, WU Vienna, Austria

Carlos Juiz García, 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 Münster, 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 Université Paris-Sud, France

Daniel Miranker, The University of Texas at Austin, USA

Z. Meral Özsoyoglu, Case Western Reserve University, USA

Grażyna Paliwoda-Pękosz, 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, Max-Planck Institute for Informatics, Saarbrücken, Germany

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: 15 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 http://www.ifis.uni-luebeck.de/~groppe/sbd/submit