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Re: CFP: Elsevier Journal on FGCS: Special Issue on Exploration of IoT generated Big Data using Semantics

From: Sarven Capadisli <info@csarven.ca>
Date: Tue, 12 Jan 2016 11:34:07 +0100
To: Dhaval Thakker <dhavalkumar.thakker@gmail.com>, public-lod@w3.org, "semantic-web@w3.org" <semantic-web@w3.org>
Message-ID: <5694D69F.506@csarven.ca>
Interesting advertisement. The announcement appears to be quite 
enthusiastic about a number of things.

I was wondering if you would mind helping me figure out how I can use a 
machine to discover the *hypothesis* of any of the "papers" at that journal?

This will also help me to understand your initiative and motivations better.

-Sarven
http://csarven.ca/#i

On 2016-01-12 11:01, Dhaval Thakker wrote:
> [apologies for the cross-posting]
>
> *Special Issue on Exploration of IoT generated Big Data using Semantics
> <http://www.journals.elsevier.com/future-generation-computer-systems/call-for-papers/scalab-special-issue-on-exploration-of-internet-of-things/>*
>
>
>       *Journal: *Elsevier journal on**Future Generation Computer Systems
>       *Impact Factor*:2.786
>       *Guest-Editors: *Dr Rajiv Ranjan (Newcastle University, UK), Dr
>       Dhaval Thakker (University of Bradford, UK), Dr Armin Haller
>       (Australian National University, Australia), Prof Rajkumar Buyya
>       (University of Melbourne, Australia)
>
> *Schedule*
>
> Submission due date: March 15, 2016
> Notification of acceptance: July 15, 2016
> Submission of final manuscript: September 15, 2016
> Publication date: End of 2016 (Tentative)
>
>
>       *Scope and Objective*
>
> Recent studies have shown that we generate 2.5 quintillion (2.5.1018)
> bytes of data per day (Cisco and IBM) and this is set to explode to 40
> yotta (40.1024) bytes by 2020 – this is 5,200 gigabytes for every person
> on earth. Much of these data is and will be generated from the Internet
> of Things (IoT) devices such as sensors, RFIDs, social media,
> clickstreams, remote sensing satellites, business transactions,
> actuators (such as machines/equipment fitted with sensors and deployed
> for mining, oil exploration, or manufacturing operations), lab
> instruments (e.g., high energy physics synchrotron), and smart consumer
> appliances (TV, phone, etc.). This vision has recently given rise to the
> notion of IoT Big Data Applications (IoTBDAs) in domains such as
> Healthcare, Smart Cities, Smart Manufacturing, and Smart Energy Grids.
> These IoTBDAS are required to have novel capability (currently
> non-­existent) of analyzing large number of dynamic data streams, tens
> of years of historical data, and static knowledge about the physical
> world (i.e. city map, road network map, utility network map, etc.) to
> support real-­time and/or near real-­time decision making. The decision
> making process involving such big data applications often involve
> exploration for meaningful
> patterns and connections. Despite the rapid evolution of IoTBDAs;;
> current generation of Cloud Computing and Big Data Processing
> techniques/frameworks (e.g., batch processing, stream processing, and
> NoSQL) lack following very important abilities to support effective
> exploration:
>
>   * Handling trajectory data
>   * Scalable discovery and indexing
>   * Automatic Integration of distributed data across different data sources
>   * Visualisation and navigation
>   * Discovering connections in data
>   * Summarising complex data
>   * Modelling and utilising context in big data
>   * Graph exploration
>
> Several novel interfaces and interaction means for exploration of big
> data are being proposed, for example, exploratory search systems, data
> browsers, visualisation environments and knowledge graph based search
> engines. Although on the rise, the current solutions are  still maturing
> and can benefit from computational models that aid intuitiveness and
> improve the effectiveness of exploration tasks. The Semantic web and its
> derivatives in the form of Linked data and Web of data can play a
> crucial role in addressing various big data exploration challenges.
>
> The main goal of this Special Issue is to explore new directions and
> approaches about key research topics needed to leverage innovative
> research aimed at tackling big data exploration challenges in IoTBDAs,
> based on semantic technologies. We encourage the submission of work with
> important  theoretical and practical results, as well as case studies on
> existing use of semantic technologies for big data exploration.
>
> *Topics*
>
> This special issue calls for original papers describing the latest
> research on Semantic Technologies for Big data exploration. The
> following is the proposed, non-­exhaustive, list of topics addressed by
> this special issue:
>
>   * Scalable knowledge driven indexing of big data
>   * Semantic middleware support for big data processing frameworks
>   * Knowledge representation techniques for aiding exploration of big data
>   * Methods and techniques for integration of large datasets
>   * Computational models using semantic technologies to discover
>     connections (e.g. relatedness,
>   * similarity, complementarity, contradictions, and causality)
>   * Entity and ontology summarisation methods
>   * Exploratory search using semantics
>   * Graph exploration techniques
>   * Visualisation and navigation techniques
>   * Human factors in data exploration
>   * User/context modelling to support personalised exploration
>   * Supporting learning/knowledge expansion through exploration
>
>
>
> *Submission & Major Guidelines*
>
> The special issue invites original research papers that make significant
> contributions to the state-­of-­the-­art in "Scalable Exploration of
> Internet of Things Generated Big Data using Semantics". The papers must
> not have been previously published or submitted for journal or
> conference publications. However, the papers that have been previously
> published with reputed conferences could be considered for publication
> in the special issue if they are substantially revised from their
> earlier versions with at least 30% new contents or results that comply
> with the copyright regulations, if any.
>
> Authors should prepare their manuscript according to the Guide for
> Authors available from the online submission page of the Future Generate
> Computer Systems at http://ees.elsevier.com/fgcs/. Authors must select
> "SI: IoTBigDataExploration" when they reach the "Article Type" step in
> the submission process. All papers will be peer-reviewed following the
> FGCS reviewing procedures.
>
> Every submitted paper will receive at least three reviews. The editorial
> review committee will include well known experts in the area of Internet
> of Things, Big Data, Semantic Web, and Cloud Databases Selection and
> Evaluation Criteria:
>
>   * Significance to the readership of the journal
>   * Relevance to the special issue
>   * Originality of idea, technical contribution, and significance of the
>     presented results
>   * Quality, clarity, and readability of the written text
>   * Quality of references and related work
>   * Quality of research hypothesis, assertions, and conclusion
>
>
> *Guest Editors*
>
> Dr. Rajiv Ranjan, PhD SMIEEECS
> Reader (Associate Professor) in Computing Science,
> Newcastle University, United Kingdom
> Visiting Scientist, Data61, CSIRO, Australia
> Eraj.ranjan@ncl.ac.uk <mailto:raj.ranjan@ncl.ac.uk>Whttp://rajivranjan.net/
>
>
> Dr. Dhaval Thakker PhD MBCS (contact person)
> Lecturer in Computing,
> University of Bradford, United Kingdom
> Visiting Research Fellow, University of Leeds, United Kingdom
> Ed.thakker@bradford.ac.uk
> <mailto:d.thakker@bradford.ac.uk>Whttp://scim.brad.ac.uk/~dthakker/
>
>
> Dr. Armin Haller
> Lecturer, Research School of Accounting and Business Information Systems
> Building 21, Australian National University
> Canberra ACT 2601, Australia
> Earmin.haller@anu.edu.au
> <mailto:armin.haller@anu.edu.au>Whttp://www.armin-­haller.com/
> <http://www.armin-haller.com/>
>
>
> Prof. Rajkumar Buyya
> CEO, Manjrasoft Pty Ltd, Melbourne, Australia
> Director, Cloud Computing and Distributed Systems Laboratory
> Department of Computing and Information Systems
> The University of Melbourne, Australia
> Erbuyya@unimelb.edu.au <mailto:rbuyya@unimelb.edu.au>Whttp://www.buyya.com/
>
> ===========================================
>
> *Dr Dhaval Thakker*
>
> /Lecturer in Computing/
>
> Faculty of Engineering & Informatics
>
> University of Bradford
>
> Bradford, West Yorkshire, BD7 1DP, UK
>
> Ph: +44(0)1274 23 4578
>
> email: d.thakker@bradford.ac.uk <mailto:d.thakker@bradford.ac.uk>
>
> web: http://scim.brad.ac.uk/~dthakker/
>
> ===========================================
>
>
>
>
>
>
Received on Tuesday, 12 January 2016 10:34:49 UTC

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