SemBIoT 2014 Workshop

Workshop on Semantics for Big Data on the Internet of Things (SemBIoT 2014)

Keynote |
Program |
Call for papers |
Organizers |
Paper submission

Keynote speakers:

Rajesh Vargheese

Rajesh Vargheese, CTO for Cisco Healthcare solutions

Ram Sriram

Ram D. Sriram,  The National Institute of Standards and Technology, USA

The internet is rapidly evolving into an “Internet of Things” (IoT) that is estimated to have more than 50 billion connected smart devices (in homes, cars, hospitals, human wearable, etc.) by the year 2020. This number excludes the massive number of “human sensors” that also actively interact on the Internet using social media. These “things” on the Internet will continuously sense their environments, interpret user actions, and instruct their environments on how to react to perceived external events. Example applications abound in patient and elderly care, smart homes, buildings, automobiles, industrial plants, the power grid, etc., which will be monitored and controlled by different types of sensors and actuators. Generation and transmission of data from the large number of devices on the IoT will be continuous, giving rising to amounts of data that completely dwarf our current notion of “Big Data”. In addition to the volume and velocity of data, the wide variety of devices, heterogeneity of data they produce, and their geographic distribution, add significant complexities to IoT Big Data management. Further, there is the issue of dynamicity because devices may join and leave the network at different times due to connectivity issues or mobility.

Call For Papers 

1st International Workshop on Semantics for Big Data on the Internet of Things (SemBIoT 2014)
Co-located with IEEE Conference on Big Data, Washington DC, USA

The goal of this workshop is to bridge the gap between research on Semantic Web, IoT, sensor networks and data management and advance solutions to the complex challenges of Big Data on the Internet of Things. A fundamental theme of this workshop is the use of semantic techniques for enabling automatic integration of heterogeneous data from different types of data sources. Therefore, the issue of scalability of semantic techniques in dynamic data source environments is a key focus of this workshop. Papers that address at least two out of the Volume, Variety and Velocity dimensions of Big Data are particularly encouraged.

The workshop seeks novel contributions to topics including (but not limited to):

  • Techniques for establishing semantic interoperability between a large number of data source

  • Reasoning and querying over distributed semantic data streams

  • Distributed ontological reasoning with massive fact bases

  • Semantic indexing techniques for discovery and search in dynamic data source environments

  • Real time large scale stream data mining / analytics

  • Lightweight metadata modeling for resource-constrained environments

  • Security and privacy of data on the Internet of Things

  • Benchmarks

  • Algorithms and data analysis methods for extracting meaning and value from the Internet of Things

  • Use case analysis involving the application of social media and Linked Data methodologies in real world scenarios

  • Data management for targeted IoT applications (e.g. smart health, transportation, disaster response)

  • Applications and use-cases


Important Dates

  • August 16, 2014 extended to August 30, 2014: Due date for full workshop papers submission

  • September 20, 2014: Notification of paper acceptance to authors

  • October 5, 2014: Camera-ready of accepted papers

  • October 27-30 2014: Workshops (the exact date to be confirmed)


Submission Instructions

All papers accepted for workshops will be included in the Workshop Proceedings published by the IEEE Computer Society Press, made available at the Conference.

Please submit a full-length paper (up to 7 pages IEEE 2-column format) through the online submission system. The workshop submission site can be accessed through the joint conference/workshops submission page at:
Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines. Templates and instructions can be found at:

Keynote Speakers

Rajesh Argeese
Rajesh Vargheese is the CTO for Cisco Healthcare solutions at Cisco. In addition, he also leads the technology efforts in developing Analytics solution kits for multiple verticals. He provides leadership in driving innovation, research, technology and solution strategy and guides solution architectures, design, development, and GTM enablement of Cisco’s horizontal and vertical solutions. Bringing together his expertise in horizontal and vertical architectures and platform along with Industry trends, he drives the Strategic Planning and Solution roadmap for solutions to address new market opportunities for Cisco and has led the successful launch of multiple Cisco solutions for various verticals and market segments. His functional areas of specialization include Collaboration, video, cloud, web applications, big data Analytics, Internet of things and Security.  He also leads the efforts in Identifying and incubated strategic technology partnerships with technology/GTM partners and enable combined solutions to address industry trends and new market segments. He has authored many papers and articles in various forums.

Ram Sriram

Ram D. Sriram is currently the chief of the Software and Systems Division, Information Technology Laboratory, at the National Institute of Standards and Technology. Before joining the Software and Systems Division, Sriram was the leader of the Design and Process group in the Manufacturing Systems Integration Division, Manufacturing Engineering Laboratory, where he conducted research on standards for interoperability of computer-aided design systems. He was also the manager of the Sustainable Manufacturing Program. Prior to joining NIST, he was on the engineering faculty (1986-1994) at the Massachusetts Institute of Technology (MIT) and was instrumental in setting up the Intelligent Engineering Systems Laboratory. Sriram has co-authored or authored more than 250 publications, including several books. Sriram was a founding co-editor of the International Journal for AI in Engineering. In 1989, he was awarded a Presidential Young Investigator Award from the National Science Foundation. In 2011, Sriram received the ASME Design Automation Award. Sriram is a Fellow of ASME and AAAS, a member (life) of ACM, a Senior Member of the IEEE, a member (life) of AAAI, and a member (life) of the Washington Academy of Sciences. Sriram has a B.Tech. from IIT, Madras, India, and an M.S. and a Ph.D. from Carnegie Mellon University, Pittsburgh, USA.


Keynote talk 1:

Dr Ram D. Sriram

Big Data and Semantic Web Meet Applied Ontology
Since the beginnings of the Semantic Web, ontologies have played key roles in the design and deployment of new semantic technologies. Yet over the years, the level  of collaboration between the Semantic Web and Applied Ontology communities has been much less than expected. Within Big Data applications, ontologies appear to have had little impact. On the one hand, the Semantic Web, Linked Data, and Big Data communities can bring a wide array of real problems (such as performance and scalability challenges and the variety problem in Big Data) and technologies (automated reasoning tools) that can make use of ontologies. On the other hand, the Applied Ontology community can bring a large body of common reusable content (ontologies) and ontological analysis techniques. Identifying and overcoming ontology engineering bottlenecks is critical for all communities. In this talk I will briefly discuss the role of ontologies in IoT, followed by a summarization on the 2014 Ontology Summit, whose goal was to provide a platform and opportunity for building bridges between the Semantic Web, Linked Data, Big Data, and Applied Ontology communities. The Summit activities brought together insights and methods from these different communities, synthesize new insights, and disseminate knowledge across field boundaries.

Keynote talk 2:

Dr Rajesh Vargheese 

Transforming Outcomes in Vertical Industries in the IoE era: From Seeing to Foreseeing
Today, in spite of the technological advancement that we have made, we live in a hit or miss environment in many verticals.  Avoidable accidents, preventable conditions, operational inefficiencies, poor customer experiences are common in verticals such as Healthcare, Retail, Manufacturing and Transportation. There are efforts underway to enable better outcomes in these verticals and provide better experience to its users. Can the Internet of things and big Data Analytics make a difference and accelerate the journey towards enabling better efficiencies, improve safety and enhance the end user experience? In this session, we will look at how the billions of device coming online and generating valuable data are being leveraged in different verticals such as Healthcare, Retail and Manufacturing. We define the Internet of everything journey towards better outcomes using a model of 4 Ps: Preparation, Prediction, Protection, Personalization and will look at the new architectural approaches that are needed to effectively manage and leverage low power devices in variety of industry environments. The need for connected network, hardened devices, interfaces, semantic mapping, security, and real time analytics processing at the edge and derived global intelligence are some of key elements of the journey. We will highlight how bringing together people, process, data and things in unique ways, the vertical industry is transforming itself to enable the promise of better outcomes.

Paper Presentations

  • Fano Ramparany, Fermin Galan Marquez, Javier Soriano, and Tarek Elsaleh, "Handling smart environment devices, data and services at the semantic level with the FI-WARE core platform".
  • Rajesh Vargheese and Hazim Dahir, "An IoT/IoE Enabled Architecture Framework for Precision On Shelf Availability: Enhancing Proactive Shopper Experience".
  • Shanika Karunasekera, Aaron Harwood, Sameendra Samarawickrama, Kotagiri Ramamohanarao, and Garry Robins, "Topic-Specific Post Identification in Microblog Streams".
  • Eric Chan, Dieter Gawlick, Adel Ghoneimy, and Zhen Liu, "Situation Aware Computing for Big Data".

Workshop Chairs


Program Committee
  • Emanuele Della Valle, Politecnico di Milano, Milano, Italy
  • Stratos Idreos, Harvard University, USA  
  • Axel Ngonga, University of Leipzig, Germany
  • Frieder Ganz, Adobe, Germany  
  • Raffaele Giaffreda, CREATE-NET, Italy  
  • Axel Polleres, Vienna University of Economics and Business, Austria
  • Daniel Puschmann, University of Surrey, UK
  • Prateek Jain, IBM T J Watson Research Center, USA
  • Krishnaprasad Thirunarayan, Wright State University, USA
  • Hong-Linh Truong, Vienna University of Technology, Austria
  • Minh-Son Dao, NICT, Japan
  • Bin Guo, Northwestern Polytechnical University, China
  • Alessandra Mileo, INSIGHT Centre for Data Analytics, Ireland  
  • Heri Ramampiaro, NTNU, Trondheim, Norway
  • Yong Liu, Microsoft, USA
  • Seyed Amir Hoseini Tabatabai, University of Surrey, UK
  • Anand Ranganathan, IBM Watson Center, USA
  • Claudia D'Amato, University of Bari, Italy
  • Achille Fokoue , IBM T.J. Watson Research Center, USA
  • Hyeongsik Kim, North Carolina State University, USA
  • Dumitru Roman, SINTEF , Norway
  • Mikhail Simonov, Istituto Superiore Mario Boella, Italy
  • Fulvio Corno, Politecnico di Torino, Italy
  • Padmashree Ravindra, North Carolina State University, USA

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