IDEAS '17
21st International Database Engineering & Applications Symposium
IDEAS '17 would be hosted by University of the West of England, Bristol, England .
July 12-14, 2017
Call for Participation
The annual IDEAS conference is a top international forum for data engineering researchers, practitioners, developers, and application users to explore revolutionary ideas and results, and to exchange techniques, tools, and experiences.
We invite participation of all interested in this meeting which provides an insight into original research contributions relating to all aspects of database engineering defined broadly, and particularly topics of emerging interest describing work on integrating new technologies into products and applications, on experiences with existing and novel techniques, and on the identification of unsolved challenges.
- Big Data Applications (e.g. Health, Environment, Transport): Gregory Butler (Concordia University, Canada), Kamran Munir (University of the West of England, Bristol, UK)
- Data Sharing, Security and Privacy: Jianhua Shao (Cardiff University, UK), Grigorios Loukides (King's College London, UK)
- Smart Cities and Data Analytics: Zaheer Khan (University of the West of England, Bristol, UK)
- Web and Cyber Security: Elio Masciari (ICAR-CNR, Italy)
Important Dates
February 17, 2017: Track/Theme Proposals April 17, 2017: Extended Papers submission deadline April 20, 2017: Pl. see. Grace Period which gives a couple of more days
to submit the PDF version of paper for review! May 26, 2017: Notification of acceptance June 25, 2017: Camera-ready deadline
Invited Speakers
- Foto Arfati, National Technical Universtity of Athens
Unfortunately, she would not be able to make it for this issue of IDEAS.
- Jiawei Han, Abel Bliss Professor, Department of Computer Science, University of Illinois at Urbana-\
Champaign
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Title: Mining Structures from Massive Text Data: A Data-Driven Approach
ABSTRACT: The real-world big data are largely unstructured, interconnected, and in the form of natural language text. One of the grand challenges is to turn such massive data into structured networks and actionable knowledge. We propose a text mining approach that requires only distant supervision or minimal supervision but relies on massive data. We show quality phrases can be mined from such massive text data, types can be extracted from massive text data with distant supervision, and relationships among entities can be discovered by meta-path guided network embedding. Finally, we propose a D2N2K (i.e., data-to-network-to-knowledge) paradigm, that is, first turn data into relatively structured information networks, and then mine such text-rich and structure-rich networks to generate useful knowledge. We show such a paradigm represents a promising direction at turning massive text data into structured networks and useful knowledge.
- Omer Rana, Cardiff University
Title: Edge Clouds: Architectures and Deployment Models
Abstract: An architecture for undertaking data processing across multiple layers of a distributed computing infrastructure is introduced, composed of edge devices (making use of Internet-of-Things (IoT) based protocols), intermediate gateway nodes and large scale data centres. In this way, data processing that is intended to be carried out in the data centre can be pushed to the edges of the network - enabling more efficient use of data centre and in-network resources. Such an approach also suggests the need to re-think of cloud computing deployment architectures, requiring a "traditional" data centre-based cloud system to stretch to the network edge. We suggest the need for specialist data analysis and management algorithms that are resource-aware, and are able to split computation across these different layers. A coordination mechanism is proposed that is able to combine different types of data processing capability, such as in-transit and in-situ. An application scenario is used to illustrate the concepts, subsequently evaluated through a multi-site deployment.
Conference Publication
The conference proceedings will be published by ACM in their digital library; the ISBN assigned by ACM to IDEAS17 is: 978-1-4503-5220-8
A version of the proceedings to be distributed to the conference attendees would be prepared by BytePress.
Organized by
Concordia University, Montreal, Canada;
with the cooperation of ACM, ACM SIGMOD and ACM SIGKDD, BytePress.org and ConfSys.org.
General Chair: Bipin C. Desai, Concordia University, Montreal
Program Chair: Jun Hong, University of the West of England, Bristol,
Local Chair: Richard McClatchey, University of the West of England, Bristol ,
Publicity Chair: Kamran Munir, University of the West of England, Bristol,
IDEAS17 Program Committee
IDEAS17 PC
