Petre Dini | 21 Oct 05:24 2014

[Dbworld] Deadline extension: COMPUTATION TOOLS 2015 || March 22 - 27, 2015 - Nice, France


Please consider to contribute to and/or forward to the appropriate groups the following opportunity to
submit and publish original scientific results to COMPUTATION TOOLS 2015.
The submission deadline is November 12, 2014.
Authors of selected papers will be invited to submit extended article versions to one of the IARIA

============== COMPUTATION TOOLS 2015 | Call for Papers ===============


COMPUTATION TOOLS 2015, The Sixth International Conference on Computational Logics, Algebras,
Programming, Tools, and Benchmarking

March 22 - 27, 2015 - Nice, France

General page:

Call for Papers:

Submission page:

- regular papers [in the proceedings, digital library]
- short papers (work in progress) [in the proceedings, digital library]
- ideas: two pages [in the proceedings, digital library]
(Continue reading)

Mohamed Kassab | 21 Oct 02:14 2014

[Dbworld] CFP : Nets4Cars/Nets4Trains/Nets4Aircraft 2015

Our apologies if you receive multiple copies of this CFP.
8th International Workshop on Communication Technologies for Vehicles:
Nets4Cars/Nets4Trains/Nets4Aircraft 2015

May 06 - 08, 2014
Sousse, Tunisia

* Proceedings will be published in Springer LNCS (Lecture Notes in Computer Science and indexed by relevant databases 

We invite prospective authors for contributions in the theory and/or practice of intelligent
transportation systems (ITS) and communication technologies for vehicles on Road (e.g. cars, tracks
and buses), Air (e.g. aircraft and unmanned aerial vehicles) and Rail (e.g. Trains, metros and trams).
Areas of interest of the workshop include (but are not limited to):

* Vehicle-to-vehicle, vehicle-to-infrastructure and In-vehicle communications
* Vehicle-to-Internet communications, Roadside infrastructure and core network
* Radio technologies for V2X (radio resource management and interference management, physical layer,
propagation models, antennas, etc.)
* Protocols for vehicular networks (MAC/link layer, routing, IP mobility, dissemination, transport,
applications, etc.) and performance enhancements
* New trends in VANETS, e.g. integration of electric vehicles in smart grid communications
* Data dissemination, processing, and aggregation in vehicular networks
(Continue reading)

Andy B. | 20 Oct 21:42 2014

[Dbworld] Deadline extension: FUTURE COMPUTING 2015 || March 22 - 27, 2015 - Nice, France



Please consider to contribute to and/or forward to the appropriate
groups the following opportunity to submit and publish original
scientific results to FUTURE COMPUTING 2015.

The submission deadline is November 12, 2014.

Authors of selected papers will be invited to submit extended article
versions to one of the IARIA Journals:


============== FUTURE COMPUTING 2015 | Call for Papers ===============


FUTURE COMPUTING 2015, The Seventh International Conference on Future
Computational Technologies and Applications

March 22 - 27, 2015 - Nice, France

General page:

Call for Papers:

Submission page:
(Continue reading)

Gabrielle Franceschelli | 20 Oct 20:44 2014

[Dbworld] Job Opportunity: Post Doctoral Associate

Requisition Number:	1157
Job Title:	Post Doctoral Associate
Area of Interest:	Postdoctoral
City:	Cambridge
State/Province:	Massachusetts
Job Description:	The Imaging Platform within the Broad Institute has an opening for a highly motivated
Postdoctoral Associate in Computational Biology.
The Imaging Platform develops and applies methods for extracting quantitative information from
high-throughput biological images. We are best known for creating and maintaining the open-source
CellProfiler project, launched more than 90,000 times per year around the world by biologists
quantifying biological processes in images. We collaborate with dozens of biomedical research
laboratories to identify disease states, potential therapeutics, and gene functions from microscopy images.
We seek a Postdoctoral Associate to join our efforts to glean insights from large collections of images.
This work is based on the hypothesis that there is much more information present in microscopy images than
is commonly perceived by eye, and that there is a significant lack of knowledge about the appropriate
targets for most diseases. We aim to harvest this information through profiling, developing novel
methods to characterize cellular populations at single-cell resolution such that similarities and
differences among treatments can be described productively. This work has the potential to transform
how both the targets and treatments for disease are identified. 

We are testing these ideas in several projects, including:
•	Predicting how new chemical compounds act in cells
•	Identifying and classifying toxicity of compounds destined for clinical trials 
•	Identifying differences in cell structure between patient cells affected by bipolar disorder or schizophrenia
•	Discovering differences among histone deacetylase (HDAC) isoforms, and identifying specific
inhibitors against them, for cancer and psychiatric disease
•	Identifying gene function from large-scale genome sequencing studies
Requirements:	PhD in a quantitative discipline such as Computer Science, Bioinformatics, Physics- or
in Biology with a strong quantitative background.
Machine learning and/or large scale data mining experience is strongly preferred.
(Continue reading)

Miguel Cruz | 20 Oct 20:18 2014

[Dbworld] CALL FOR BOOK CHAPTERS: Modern Software Engineering Methodologies for Mobile and Cloud Environments


Proposal Submission Deadline: October 30, 2014

Modern Software Engineering Methodologies for Mobile and

Cloud Environments


A book edited by

António Miguel Rosado da Cruz (Instituto Politécnico de Viana do Castelo, Portugal) 
Sara Paiva (Instituto Politécnico de Viana do Castelo, Portugal)


To be published by IGI Global:


For release in the Advances in Systems Analysis, Software Engineering, and High Performance Computing (ASASEHPC) Book Series


Series Editor:  Vijayan Sugumaran (Oakland University, USA)

ISSN: 2327-3453


Propose a chapter for this book


The Advances in Systems Analysis, Software Engineering, and High Performance Computing (ASASEHPC) Book Series brings together research in the areas of distributed computing, systems and software engineering, high performance computing, and service science. This collection of publications is useful for academics, researchers, and practitioners seeking the latest practices and knowledge in this field.



As mobile applications and the Cloud are gaining momentum, by getting more and more integrated with business process models and expanding in scope and usage, they also become more valuable to businesses. This amplification in business value, together with the corresponding increase in complexity, has lead to an increased demand for software engineering methodologies specialized for these kinds of software applications. Existing mainstream software engineering methods and techniques need to be adapted, and new ones need to be created and put into practice, so that business processes can rely on mobile and Cloud applications and services, thrusting in their ability to respond to business needs, their quality of service, availability and performance.


Objective of the Book

The main goal of the book Modern Software Engineering Methodologies for Mobile and Cloud Environments is to discuss and analyze current methodologies, techniques, and practical solutions and trends related to this new field of knowledge in a comprehensive way. The overall objectives comprise:

  • To discuss the importance and the challenges associated to software engineering methods and techniques for mobile and cloud environments;

  • To analyze the state-of-the-art of existing software engineering methods and techniques for mobile and cloud environments;

  • To propose emerging technological developments and practical solutions for engineering software for mobile and cloud environments;

  • To present case studies of application of software engineering methods and techniques specialized for mobile and cloud environments.



Target Audience

The target audience of this book will be composed of professionals and researchers working in the field of software engineering and software development for the Cloud and mobile platforms. Moreover, the book will provide insights and support decision makers, practitioners, team members, and students on advances in the field of software engineering for mobile and cloud environments.


Recommended topics include, but are not limited to, the following:



  • Requirements Elicitation and Specification

  • Model-driven Development

  • Domain-Specific Languages for Mobile and Cloud Platforms

  • Software Process Modeling and Execution

  • Business Process Modeling

  • Software Integration, Testing and Maintenance

  • Software Quality

  • Component-based software engineering for Mobile and Cloud Platforms

  • Formal and Semi-Formal Methods



  • Mobile Technologies and Applications

  • Web-based Software Development

  • SaaS applications

  • Cloud-based mobile systems

  • Location-based mobile applications

  • Computing models and approaches for Mobile and Cloud platforms

  • Mobile and Cloud Reliability, Availability, Scalability and Performance




Submission Procedure

Researchers and practitioners are invited to submit on or before October 30, 2014, a 1,000 to 2,000 word chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified by November 30, 2014 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by December 30, 2014. All submitted manuscripts will be refereed on a double-blind review basis by at least two reviewers for quality, correctness, originality, and relevance. Contributors may also be requested to serve as reviewers for this project.


All proposals should be submitted through the link at the bottom of this page



This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit This publication is anticipated to be released in 2015.


Important Dates

October 30, 2014: Proposal Submission Deadline
November 30, 2014: Notification of Acceptance
December 30, 2014: Full Chapter Submission
February 28, 2015: Review Results Returned to Authors
March 30, 2015: Revised Chapter Submission
April 15, 2015: Final Acceptance Notification


Inquiries can be forwarded to


Dr. António Miguel Rosado da Cruz
miguel.cruz <at>

Dr. Sara Paiva
sara.paiva <at>


Propose a chapter for this book


To find related content in this research area, visit InfoSci®-OnDemand:

Download Premium Research Papers

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Jef Wijsen | 20 Oct 18:37 2014

[Dbworld] EDBT/ICDT 2015 Workshops

EDBT/ICDT 2015 Workshops
Friday, March 27, 2015, Brussels, Belgium.

The following workshops are all co-located with the EDBT/ICDT 2015 conferences in Brussels, Belgium. 

Algorithms for MapReduce and Beyond (BeyondMR)

Organizers: Frank McSherry (MSR), Foto N. Afrati (NTUA) Jacek Sroka (University of Warsaw)

The importance of “big data" and systems for supporting queries and analytics over big data should
require no explanation. The purpose of this workshop is to explore algorithms and models of computation
using the specialized programming systems and data-management systems that have been developed over
the past few years.

Data (Co-)Processing on Heterogeneous Hardware (DAPHNE)

Organizers: Witold Andrzejewski (Poznan University of Technology), Sebastian Breß (TU Dortmund
University), Max Heimel (Technische  Universität Berlin)

The goal of this workshop is to investigate challenges and opportunities for data processing on existing
and upcoming heterogeneous hardware architectures. Increased heterogeneity is one of the major
current challenges in data processing on modern hardware. With multi-core CPUs, graphics cards,
massively parallel accelerator cards (e.g. Intel Xeon Phi),  heterogeneous mobile processors (e.g. ARM
big.LITTLE) and FPGAs, we already face a huge variety of available processing devices with different
capabilities, strengths and  weaknesses. This trend is expected to accelerate in the near future, and
tomorrow’s database systems will need to exploit and embrace this increased heterogeneity in order to
keep up  with the performance requirements of the modern information society.

Event Processing, Forecasting and Decision-Making in the Big Data Era (EPForDM)

Organizers: Alexander Artikis (NCSR Demokritos), Antonios Deligiannakis (Technical University of Crete)

The Big Data era has posed a number of challenges in applications related to event processing. In
particular, the data volume, velocity and distribution necessitate the design on new scalable
approaches for the efficient and timely processing of the produced data. The lack of veracity in the
handled data/events further complicates the problem. Moreover, key  challenges concern the use of the
voluminous data in order to forecast future events and perform proactive event-driven decision-
Event forecasting is important because eliminating or mitigating an anticipated problem, or
capitalizing on a forecast opportunity, can substantially improve our quality of life, and prevent
environmental and economic damage. For example, changing traffic-light priority and speed limits to
avoid traffic congestions will reduce carbon emissions, optimize transportation and increase the
productivity of commuters. At the business level, making smart decisions ahead of time can become a
differentiator leading to significant competitive advantage. In a wide range of applications,
prevention is more effective than the cure. To prevent problems and to capitalize on opportunities
before they even occur, a proactive event-driven decision-making paradigm is necessary. Decisions are
triggered by forecasting events instead of reacting to them once they happen. Moreover, decisions are
made in real-time and require on-the-fly processing of Big Data, that is, extremely large amounts of noi!
 sy data flooding in from various locations, as well as historical data. The aim of the EPForDM workshop is to
bring  together computer scientists with interests in the fields of event processing, event forecasting
and event-driven decision-making to present recent innovations, find topics of common interest and
stimulate further development of new approaches to make sense of Big Data.

Energy Data Management (EnDM)

Organizers: Torben Bach Pedersen, (Aalborg University), Wolfgang Lehner (TU Dresden)

This workshop focuses on conceptual and system architecture issues related to the management of very
large-scale data sets specifically in the context of the energy domain. The overall goal is to bridge the
gap between domain experts and data management scientists on the one hand. On the other hand, the
workshop’s goal is to create awareness of this upcoming  and very challenging application area. For the
workshop’s research program, we are seeking contributions that push the envelope towards novel
schemes for large-scale data processing with special focus on energy data management.

Querying Graph Structured Data (GraphQ)

Organizers: Federica Mandreoli, Riccardo Martoglia (University of Modena and Reggio Emilia), Wilma
Penzo (University of Bologna)

The growing scale and importance of graph data in several database application areas has recently driven
much research efforts towards the development of data models and technologies for graph- data
Life science databases, social networks, Semantic Web data, bibliographical networks, knowledge bases
and ontologies, are prominent examples of application domains exhibiting data that is natural to
represent in graph-based form. Datasets in these domains are often characterized by heterogeneity,
complexity and largeness of contents that make the querying experience a really challenging task. 
The overall goal of the GraphQ workshop is to bring people from different fields together, exchange
research ideas and results, and encourage discussion about how to efficiently and effectively support 
graph queries in different application domains. GraphQ seeks at providing the opportunity for
inspiration and cross-fertilization for the many research groups working on graph-structured data,
with a particular focus on the querying issues. 
The workshop will welcome innovative papers from academic and industrial researchers in the fields of
information retrieval, relational databases, Semantic Web, streaming data management, pattern
matching, biological databases, social networks, human-computer interaction, and other related areas.

Linked Web Data Management (LWDM)

Organizers: Devis Bianchini (Università di Brescia), Valeria De Antonellis (Università di Brescia),
Roberto De Virgilio (Università Roma Tre)

Homepage: TBA

The joint application of data management and Semantic Web competencies, through the design of new models,
languages and tools, has turned out to be very useful to enable the use of the Web as a huge, interlinked,
dynamic repository of linked resources. The contributions and discussions born and developed during
four previous editions of the “Linked Web Data Management” (LWDM) workshop allowed to meet our goal of
introducing a data management perspective within the Linked Data world, previously focused on
publishing, retrieving, querying, browsing and mashing- up the ever growing amount of linked data in a
meaningful way. The maturity gained by the workshop also enabled to introduce in every edition new issues
related with the main topics. The fourth edition has been characterized by fruitful contributions on the
combination of knowledge coming from data management, Semantic Web and Linked Data fields in order to
better exploit the Web 2.0 potential, where people and applicat!
 ions discover new linked information in an un- expected way, according to an explorative perspective,
moving through linked sources of knowledge. This enabled the study of Linked Data issues within a social
perspective of the Web, where also the relationships between users might play a crucial role in finding
the right resources in an efficient way. Recently, the scientific community raised the need of facing the
quantity and the heterogeneity of data made available on the Web, also managing with the rapidity which
such data are distributed with (Big Data issues). These problems also feature the Linked Data world to
access and explore linked resources, thus requiring innovative application of data management tools.
Research efforts of the Semantic Web community are being devoted to investigate the  relationships
between Big Data, Linked Data and data-intensive applications

Privacy and Anonymity in the Information Society (PAIS)

Organizers: Traian Marius Truta, (Northern Kentucky University), Li Xiong, Emory University), Farshad
Fotouhi, (Wayne State University)


Organizations collect vast amounts of information on individuals, and at the same time they have access to
ever-increasing levels of computational power. Although this conjunction of   information and power
provides great benefits to society, it also threatens individual privacy. As a result legislators for
many countries try to regulate the use and the disclosure of  confidential information. Various privacy
regulations (such as USA Health Insurance Portability and Accountability Act, Canadian Standard
Association’s Model Code for the Protection of Personal Information, Australian Privacy Amendment
Act, etc.) have been enacted in many countries all over the world. Data privacy and protecting
individuals’ anonymity have become  a mainstream avenue for research. While privacy is a topic
discussed everywhere, data anonymity recently established itself as an emerging area of computer
science. Its goal is to  produce useful computational solutions for releasing data, while provi!
 ding scientific guarantees that the identities and other sensitive information of the individuals who
are the subjects of the data are protected.
The proposed workshop aims to provide an open yet focused platform for researchers and practitioners from
computer science and other fields that are interacting with computer science in the privacy area such as
statistics, healthcare informatics, and law to discuss and present current research challenges and
advances in data privacy and anonymity research. We  welcome original research papers that present novel
research ideas, position papers that discuss new technology trends and provide new insights into this
area, integrative papers that  present interdisciplinary research in the privacy area, as well as
industry papers that share practical experiences.

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Sean Eom | 20 Oct 16:48 2014

[Dbworld] ICIST15 CFP

ICIST 2015 (The 5th International Conference on Information Systems and Technologies)
Istanbul, Turkey March, 21-23, 2015

Paper submission due: November 20, 2014
Notification to author:  January 31, 2015
Camera ready and Registration: February, 10, 2015

The ICIST 2014 aims to provide a forum for academic, researchers, educators, government officers,
consultants, private sectors, 
managers, developers and others in the rapidly growing field of information systems and technologies to
meet, discuss and exchange ideas on recent advances. 

TOPICS: The topics of relevance for the ICIST 2015 papers include but not limited to the following: 
* IS government systems 
* IS Methodology and approaches 
* Business intelligence and analytics 
* Data and knowledge engineering 
* Big Data and Smart Computing 
* Systems Analysis & Design 
* Business Process Management (BPM) 
* E-business, E-government, 
* E-Learning and E-Libray 
* Cloud Computing and IS 
* Complex adaptive systems 
* Privacy and security in IS Systems architecture 
* Systems usage and adoption 
* Software quality and testing 
* IT decision-making processes and Cloud 
* Supporting community networks 
* Wireless and Mobile Communication Systems 
* 5G, 4G, LTE, LTE-Advanced, WLAN, WPAN, WBAN 
* Mobile Cloud Computing and Communication Systems 
* Developing sustainable systems 
* Dynamic IS process evolution 
* IA and Information Systems 
* Governance and management of IS 
* Legal and administrative aspects of IS 
* MDE for information system development 
* Modelling methods for complex information systems 
* Outsourcing and globally distributed IS 
* Project management and Requirements engineering 
* Service based system analysis and modelling 
* Signal Processing and Imaging Engineering 
* Biometrics Applications 
* Computer Vision and Image Analysis 
* Smart Media & Broadcasting, and Smart Devices/Appliances 
* Green Communication Technologies and Solutions 
* u-Healthcare Systems, and Bio-informatics 
* Internet of Things (IoT), Internet of Everything (IoE), Web of Objects (WoO) 
* Encryption and Security

- Full papers (5 to 12 pages) formatted according to the LNCS style:
- Short paper (2 to 5 pages)
- Poster Abstract (300 words). 

Conference Chair
M. Ridda Laouar, Tebessa University, ALGERIA

Program Chair
Sean Eom, Southeast Missouri State University, USA

Visit our website:      
Contact(Email) us: icist.educ@...

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Shimin Chen | 20 Oct 15:16 2014

[Dbworld] ICDE'15 Workshop CFP: International Workshop on Big Data Management on Emerging Hardware (HardBD)

International Workshop on Big Data Management on Emerging Hardware (HardBD 2015)
To be Sponsored by and Held in Conjunction with ICDE 2015

Data properties and hardware characteristics are two key aspects for efficient
data management.  A clear trend in the first aspect, data properties, is the
increasing demand to manage and process Big Data in both enterprise and
consumer applications, characterized by the fast evolution of "Big Data
Systems". Examples of big data systems include NoSQL storage systems,
MapReduce/Hadoop, data analytics platforms, search and indexing platforms,
messaging infrastructures, event log processing systems, as well as novel
extensions to relational database systems. These systems address needs for
processing structured, semi-structured, and unstructured data across a wide
spectrum of domains such as web, social networks, enterprise, mobile computing,
sensor networks, multimedia/streaming, cyber-physical and high performance
systems, and for a great many application areas such as e-commerce, finance,
healthcare, transportation, telecommunication, and scientific computing. At the
same time, the second aspect, hardware characteristics, is undergoing rapid
changes, imposing new challenges for the efficient utilization of hardware
resources. Recent trends include massive multi-core processing systems, high
performance co-processors, very large main memory systems, storage-class
memory, fast networking components, big computing clusters, and large data
centers that consume massive amounts of energy.

Utilizing new hardware technologies for efficient Big Data management is of
urgent importance.  However, many essential issues in this area have yet to be
explored, including system architecture, data storage, indexes, query
processing, energy efficiency and proportionality. The aim of this half-day
workshop is to bring together researchers, practitioners, system
administrators, and others interested in this area to share their perspectives
on the efficient management of big data over new hardware platforms, and to
discuss and identify future directions and challenges in this area.

Topics of interest include but not limited to:

  New systems architecture 
  New storage devices and indexes
  Query processing 
  Transaction processing 
  Energy-efficient and energy-proportional data processing
  Fault management and reliability
  Heterogeneous hardware 
  Main memory data management
  Sustainable power management
  Scalable and reconfigurable challenges

Important dates of the workshop

  Paper submission: November 21, 2014 (Monday)
  Notification of acceptance: December 15, 2014 (Monday)
  Camera-ready copies: January 12, 2015 (Monday)

Submission Guidelines 

  Papers should be prepared in the IEEE format and submitted as a single PDF
  file.  The paper length should not exceed 6 pages. 

Workshop Co-Chairs

  Shimin Chen, Chinese Academy of Sciences, chensm@...
  Qiong Luo, Hong Kong University of Science and Technology, luo@...
  Xiaofeng Meng, Renmin University of China, xfmeng@...

PC members for the workshop

  Philippe Bonnet, IT University of Copenhagen, Denmark
  Bin Cui, Peking University, China
  Binsheng He, Nanyang Technological University, Singapore
  Stratos Idreos, Harvard University, USA
  Peiquan Jin, University of Science and Technology of China (USTC), China
  Sang-Wook Kim, Hanyang University, Korea
  Ioannis Koltsidas, IBM Zurich, Switzerland
  Suman Nath, Microsoft Research, USA
  Ippokratis Pandis, Cloudera, USA
  Jianliang Xu, Hong Kong Baptist University, China

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Abdelkader Hameurlain | 20 Oct 14:31 2014

[Dbworld] CFP: TLDKS Journal (Springer, LNCS) - Regular Papers


	Apologies if you receive multiple copies of this message  


		Call for Journal Papers - Regular Papers 

   Transactions on Large-Scale Data and Knowledge-Centered Systems TLDKS

			 (LNCS Journal Subline)


Data management, knowledge discovery as well as knowledge processing are core 
and hot topics in computer science. They are widely accepted as enabling 
technologies for modern enterprises enhancing their performance, especially
in the decision making process. Since the 1990s the Internet has been the 
outstanding driving force for application development in all domains.

An increase in the demand of resource sharing (e.g. computing resources, 
services, metadata, data sources) across different sites connected through 
networks leads to an evolvement of data and knowledge management systems from 
centralized systems to decentralized systems enabling large scale distributed 
applications providing high scalability. Current decentralized systems still 
focus on data and knowledge as their main resource characterized by:

- Heterogeneity of nodes, data and knowledge
- Autonomy of data and knowledge sources and services
- Large scale data volumes, high numbers of data sources, users, computing 
- Dynamics of nodes.

Considering these characteristics recognize:

(a) limitations of methods and techniques developed for centralized systems
(b) requirements to extend or design new approaches and methods enhancing 
    efficiency, dynamics and scalability
(c) development of large scale, experimental platforms and relevant benchmarks
    to evaluate and validate scaling

Feasibility of these systems relies basically on P2P (peer-to-peer) techniques 
and agent systems supporting with scaling and decentralized control. Synergy 
between Grids, P2P systems and agent technologies is the key to data and 
knowledge centered systems in large scale environments.

The objective of the international journal on Large Scale Data and Knowledge 
Centered Systems is to provide an opportunity to disseminate original research 
contributions and a high quality communication platform for researchers and 
practitioners. The journal contains sound peer reviewed papers (research, state 
of the art and technical) of high quality.

Topics of interest include, but are not limited to:

   * Data Storage and Management
   * Data Integration and Metadata Management
   * Data Stream Systems
   * Data Semantic, Semantic Web and Ontologies
   * Knowledge Engineering and Processing
   * Sensor Data and Sensor Network
   * Dynamic Data Placement Issues
   * Query Processing and Optimization
   * Flexible, Robust and Adaptive Query Processing
   * Support for Scalable and Elastic Services
   * Data Warehousing
   * Cost Models
   * Resource Discovery
   * Resource Management, Reservation, and Scheduling
   * Locating Data Sources/Resources and Scalability
   * Workload Adaptability in Heterogeneous Environments
   * Transaction Management
   * Replicated Copy Control and Caching
   * Data Privacy and Security
   * Data Mining and Knowledge Discovery
   * Mobile Data Management
   * Data Grid Systems
   * Data Management in Cloud Systems
   * Pricing Models
   * P2P Systems
   * Web Services
   * Autonomic Data Management
   * Large Scale Distributed Applications and Experiences
   * Performance Evaluation and Benchmarking.


Abdelkader Hameurlain, Paul Sabatier University, IRIT, France
Josef Küng, University of Linz, FAW, Austria
Roland Wagner, University of Linz, FAW, Austria

Editorial Board (see:

Paper Submission Details

Authors are invited to electronically submit original research contributions or
experience reports in English.

   * The submitted manuscript must be submitted in pdf in LNCS format:
   * The length of submitted manuscripts should not exceed 30 pages.

For paper registration and electronic submission see:  (TLDKS - REG.2015)

Submitted papers will be carefully evaluated based on originality, significance, 
technical soundness, and clarity of exposition.

Important Dates:

    Submission deadline: January 31th, 2015
    Notification: March 30th, 2015
    Final decision: May 30th, 2015
    Final submission: June 20th, 2015
    Publication: August/September 2015

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Roland Wagner | 20 Oct 14:14 2014

[Dbworld] DaWaK 2015: Call for Papers

Call for Papers - DaWaK '15

17th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2015)

In conjunction with DEXA 2015 (


Valencia, Spain
September 1 - 5, 2015

Three Special Issues on the best papers from DAWAK '15 will be expanded and revised for possible inclusion in:

  • Distributed and Parallel Databases, Springer.
  • Transactions on Large-scale Data- and Knowledge Centered Systems - TLDKS,


Submissions presenting current research work on both theoretical and practical aspects of Big Data, Knowledge Discovery are encouraged.

  • Big Data Storage
  • Big Data Query Languages and Optimization
  • Big Data Analytics and User Interfaces
  • Big Data Indexing
  • Big Data Analytics: algorithms, techniques, and systems
  • Big Data Quality and Provenance Control
  • Social Networking Big Data Graph Management
  • Visualization Analytics for Big Data
  • Big Data Searching and Discovery
  • Big Data Management in Mobile Applications
  • Scalability and parallelization for cloud intelligence: map-reduce and beyond
  • Analytics for the cloud infrastructure
  • Analytics for unstructured, semi-structured, and structured data
  • Semantic web intelligence
  • Analytics for temporal, spatial, spatio-temporal, and mobile data
  • Analytics for data streams and sensor data
  • Analytics for multimedia data
  • Analytics for social networks
  • Real-time/right-time and event-based analytics
  • Privacy and security in cloud intelligence
  • Reliability and fault tolerance in cloud intelligence
  • Big Data Application design and deployment
  • Data mining techniques: clustering, classification, association rules, decision trees, etc.
  • Data and knowledge representation
  • Knowledge discovery framework and process, including pre- and post-processing
  • Integration of data warehousing, OLAP and data mining
  • Integrating constraints and knowledge in the KDD process
  • Exploring data analysis, inference of causes, prediction
  • Evaluating, consolidating, and explaining discovered knowledge
  • Statistical techniques for generation a robust, consistent data model
  • Interactive data exploration/visualization and discovery
  • Languages and interfaces for data mining
  • Data Mining Trends, Opportunities and Risks
  • Data Mining from low-quality information sources


Industry and Application Track:

  • Big Data Analytics and Knowledge Discovery Tools
  • Big Data Deployment Industryial Experiences
  • Big Data Applications in scientific, government, healthcare, bioinformatics, etc.
  • Big Data Analytics applications in E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc
  • Big Data and Business Process Intelligence (BPI)
  • Big Data in Enterprise Management Models and Practices
  • Big Data Applications in Smart City


Paper Submission Details

Authors are invited to submit research and application papers representing original, previously unpublished work. Papers should be submitted in PDF or Word format.  Submission Online at: DaWaK 2015 Submission site

Submissions must conform to Springer's LNCS format and should not exceed 12 pages. All accepted papers will be published in LNCS by Springer-Verlag.

Authors of selected best papers from DaWaK 2015 will be invited to submit the extended paper for special issues of Distributed and Parallel Databases and LNCS Transactions on Large-Scale Data and Knowledge-Centered Systems.

For further inquiries, contact the DaWaK 2015 PC chairs


  • Submission of abstracts: March 17, 2015
  • Submission of full papers: March 31, 2015
  • Notification of acceptance: May 19, 2015
  • Camera-ready copies due: June 09, 2015

Program Chairs

  • Sanjay K Madria, Missouri University of Science and Technology, USA  <madrias-/v/bkeWe/>
  • Takahiro Hara, Osaka University, Japan < >

Program Committee




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Laurent Fabius | 20 Oct 13:34 2014

[Dbworld] CFP: Fourth International Conference on Natural Language Processing (NLP-2015)

Fourth International Conference on Natural Language Processing (NLP-2015)
February 21 ~ 22, 2015 - Sydney, Australia

Call for Papers

Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.

Topics of interest include, but are not limited to:

  • Phonology, Morphology
  • Chunking/Shallow Parsing
  • Parsing/Grammatical Formalisms
  • Semantic Processing
  • Lexical Semantics
  • Ontology
  • Linguistic Resources
  • Statistical and Knowledge based methods
  • POS tagging
  • Discourse
  • Paraphrasing/Entailment/Generation
  • Machine Translation
  • Information Retrieval
  • Text Mining
  • Information Extraction
  • Question Answering
  • Dialog Systems
  • Spoken Language Processing
  • Speech Recognition and Synthesis

Paper Submission

Authors are invited to submit papers through the Conference Submission System (Track : NLP 2015) by October 25, 2014. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published.

Selected papers from NLP 2015 , after further revisions, will be published in the special issue of the following journal.

Important Dates:

Submission Deadline : October 25, 2014
Paper Status Notification : January 02, 2015
Final Manuscript Due : January 21, 2015
Conference Date : February 21 ~ 22, 2015
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