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Showing posts with label data integration. Show all posts
Showing posts with label data integration. Show all posts

Friday, 29 November 2013

10 PhD positions in new Data Science Centre at Edinburgh, UK

Posted on 08:10 by Unknown
 10 PhD places in new Centre for Doctoral Training in Data Science
 Web site: http://datascience.inf.ed.ac.uk/
 Application deadline: 27 January 2014 (first round)

The Edinburgh Centre for Doctoral Training (CDT) in Data Science is
now inviting applications for 10 fully-funded PhD studentships, to
start in September 2014. Students with a strong background in computer
science, mathematics, physics, or engineering are particularly
encouraged to apply.

The CDT focuses on the computational principles, methods, and systems
for extracting knowledge from data. Large data sets are now generated
by almost every activity in science, society, and commerce - ranging
from molecular biology to social media, from sustainable energy to
health care. Data science asks: How can we efficiently find patterns
in these vast streams of data?  Many research areas have tackled parts
of this problem: machine learning focuses on finding patterns and
making predictions from data; ideas from algorithms and databases are
required to build systems that scale to big data streams; and separate
research areas have grown around different types of unstructured data
such as text, images, sensor data, video, and speech.  Recently, these
distinct disciplines have begun to converge into a single field called
data science.

The CDT is a 4-year programme: the first year provides Masters level
training in the core areas of data science, along with a significant
project. In years 2-4 students will carry out PhD research in Data
Science, guided by PhD supervisors from within the centre. The CDT is
funded by EPSRC and the University of Edinburgh.

Edinburgh has a large, world-class research community in data science
to support the work of the CDT student cohort.  The city of Edinburgh
has often been voted the 'best place to live in Britain', and has many
exciting cultural and student activities.

Because of constraints from funding agencies, there are different
rules for funding depending on your fee status:
   * UK and EU students: Full funding (fees and stipend) is available.
   * Non-EU students: Funding is significantly more competitive;  see
     http://datascience.inf.ed.ac.uk/apply/information-for-non-eu-students/
     for details.

See http://datascience.inf.ed.ac.uk/apply/ for further information and
application forms. Enquiries via datascience@inf.ed.ac.uk .

There are two deadlines for applications:

 * First round deadline for full consideration. Apply by 27 January
   2014. (Any non-EU candidates must apply by this date, as well as
   following the specific instructions for non-EU residents.)

 * Second round: Any remaining scholarships will be awarded in a
   second round of applications. The deadline for the second round is
   31 March 2014.
Read More
Posted in 2014, computer science, data integration, data mining, data streams, doctoral research, job opening | No comments

Thursday, 28 November 2013

WWW 2014 Workshop - 4th Workshop on Data Extraction and Object Search (DEOS’14)

Posted on 04:31 by Unknown
DEOS 2014: Fourth Workshop on Data Extraction and Object Search (April 7) in conjunction with WWW'14, April 7-11, Seoul, South Korea.
http://diadem.cs.ox.ac.uk/deos14/

Important Dates
-----------------------------------------------------------
Paper submission: *Jan 7, 2014 (23:59 Hawaii Standard Time)* Paper notification: *Feb 4, 2014* Paper camera-ready copy: *Feb 12, 2014* (hard deadline) Workshop date: April 7, 2014
-----------------------------------------------------------

Description
-----------------------------------------------------------
The Fourth International Workshop on “Data Extraction and Object Search” (DEOS 2014) will take place as a satellite event of WWW 2014 in Seoul, South Korea, on April 7th, 2014.

Web data extraction is witnessing a renaissance. In an increasing number of applications such as price intelligence or predictive analytics, the value of data-driven approaches has been conclusively proven. However, the necessary data is often available only as HTML, e.g., in form of online shops of competitors that can serve as sources for pricing and offer data. DEOS is a regular forum for researchers and practitioners in data extraction and object search, to present and discuss ongoing work on data extraction and object search for products, events, reviews, and other types of structured data on the web.

This is the fourth installation of DEOS, the first held in Como in 2010, the second in Vienna in 2011, the third in Oxford in 2013. The workshop is supported by the ERC DIADEM grant (http://diadem.cs.ox.ac.uk/) and the Oxford Martin school (http://www.oxfordmartin.ox.ac.uk/). There is a small amount of travel support available from the sponsors.


Topics
-----------------------------------------------------------
This installment of the workshop places a particular emphasis on benchmarking and effective evaluation measures for data extraction.

The topics of interest include (but are not limited to):
* Large-scale data extraction approaches capable of dealing with a large number of websites without per-site supervision.
* Object identification and extraction approaches in domains such as products, events, reviews, forum posts, ...
* Reducing and simplifying supervision in wrapper induction and the use of crowdsourcing.
* Automatic crawling and exploration of web interfaces with a particular focus on highly-visual, scripted web applications.
* Information extraction meets data extraction including approaches that integrate information extraction, e.g., from product titles, with data extraction for mutual verification of the data.
* Automated data extraction approaches that identify wrappers fully automatically at high accuracy.
* Integration and cleaning of extracted web data for object search including approaches or tools for deduplication (intra- and inter-site) and for reconciliation of conflicting attribute values.
* Object search approaches and systems that provide a search interface to data extracted from the web.
* Evaluation, benchmarking, and replicability in web data extraction and object search.


Submissions
-----------------------------------------------------------

DEOS’14 welcomes the submission of theoretical, experimental, methodological as well as application papers. Benchmark papers are particularly encouraged and demonstration papers are also welcome.

Submitted papers should be 8 pages (4 pages for demo proposals, work in progress, or vision papers) maximum in length, including figures and references. The paper must be formatted as PDF according to style guidelines of ACM SIG Proceedings Template available here: http://www.acm.org/sigs/publications/proceedings-templates.

All papers should be submitted online on the workshop submission website: https://www.easychair.org/conferences/?conf=deos14.

Further information is available at http://diadem.cs.ox.ac.uk/deos14/.

Organization
-----------------------------------------------------------
Tim Furche, University of Oxford, <tim@furche.net>
Giorgio Orsi, University of Oxford, <giorgio.orsi@cs.ox.ac.uk>
Paolo Merialdo, Università Roma Tre, <merialdo@dia.uniroma3.it>
Valter Crescenzi, Università Roma Tre, <crescenz@dia.uniroma3.it>
Read More
Posted in 2014, ACM, call for papers, data integration, data mining, web search, workshop, WWW | No comments

Sunday, 30 December 2012

The 14th International Conference on Web Information Systems Engineering (WISE 2013)

Posted on 06:30 by Unknown

WISE13 Call for Papers

The 14th International Conference on Web Information Systems Engineering (WISE 2013)
October 13-15,  2013, Nanjing, China
http://www.wise2013.org

The aim of this fourteenth edition of the conference series on Web Information Systems Engineering is to provide an international forum for researchers, professionals, and industrial practitioners to share their knowledge in the rapidly growing area of Web technologies, methodologies and applications. Previous WISE conferences were held in Hong Kong, China (2000), Kyoto, Japan (2001), Singapore (2002), Roma, Italy (2003), Brisbane, Australia (2004), New York, USA (2005), Wuhan, China (2006), Nancy, France (2007), Auckland, New Zealand (2008), Poznan, Poland (2009), Hong Kong, China (2010), and Sydney, Australia (2011), and Paphos, Cyprus (2012).

The proceedings of WISE'13 will be published in 2 separate volumes by Springer in Lecture Notes in Computer Science series and the best papers will be recommended for publication in special issues of World Wide Web.


Topics of interests include but are not limited to:

* Big Data;
* Cloud Computing;
* Discovering Social Web structures and models;
* Deep/Hidden Web;
* Event Processing and Event-driven Systems;
* Evolution and temporal analysis of the Social Web;
* Integration of the Web and Internet-connected Objects / IoT;
* Linked Open Data;
* Peer-Computing;
* Rich Web UI;
* Search, Text and media extraction, clustering and classification of the Social Web;
* Semantic Web;
* Social Networking;
* Web Agents and Web Intelligence;
* Web-based Applications (e.g., Auction and Negotiation, e-Commerce, e-Government, e-Learning, etc.);
* Web-based Business Processes and Web Services;
* Web-based Enterprise Systems and Transactions;
* Web Data Integration;
* Web Data Mashup;
* Web Data Models;
* Web Information Retrieval;
* Web Metrics and Performance;
* Web Mining and Web Warehousing;
* Web Monitoring and Management;
* Web Security and Trust Management;
* Web Tools and Languages;
* Web Visualisation; and
* XML and Semi-structured Data.

Publication
Submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. All papers will be refereed by at least three members of the program committee. All submitted papers MUST be formatted according to the author guidelines provided by Springer LNCS format and MUST NOT exceed 14 pages. A special issue of WWW Journal is scheduled for extended versions of some selected papers from the WISE2013 conference.

Organizing Committee

Honorary General Chair:
Jian Lv, Nanjing University, China

General Co-Chairs:
Ricardo Baeza-Yates, Yahoo!Research Lab, Spain
Yanchun Zhang, Victoria University, Australia
Jie Cao, Nanjing University of Finance & Economics, China

PC Co-Chairs:
Xuemin Lin, ÊUniversity of New South Wales, Australia
Yannis Manolopoulos, Aristotle University of Thessaloniki,
Greece
Divesh Srivastava, AT&T Labs, USA

Industry Program Chairs
Min Wang, HP Labs, China
Lei Chei, ÊHKUST, Hong Kong, China

Demo Co-Chairs:
Yoshiharu Ishikawa, Nagoya University, Japan
Rui Zhang, University of Melbourne, Australia

WISE Challenge Program Chairs:
Weining Qian, East China Normal University, China

Workshop Co-Chairs:
Zhisheng Huang, Vrije University of Amsterdam, The Netherlands.
Chengfei Liu, Swinburne University of Technology, Australia

Publication Chair:
Guangyan Huang, Victoria University, Australia

Local Arrangement Chair:
Jie Cao, Nanjing University of Finance and Economics, China

Financial Chair:
Jing He, Victoria University, Australia

Webmasters:
Zhiang Wu, Nanjing University of Finance and Economics, China

WISE Society Representative:
Xiaofang Zhou, The University of Queensland, Australia


Important Dates

Research Paper Abstract Submission: 8th May 2013
Research Paper Submission: 15th May 2013
Demonstration Paper Submission: 15th June 2013
Paper Notification of Acceptance: 3rd July 2013
Accepted Paper Camera-ready: 24th July 2013
Workshop Proposal Submission: 4th April 2013
Workshop Proposal Notification: 25th April 2013
Read More
Posted in 2013, call for papers, cloud computing, conference, data integration, social network analysis, stcsn, web engineering, web information systems, web intelligence | No comments

Saturday, 29 September 2012

Open PostDoc and PhD Position on Web Data Integration at the University of Mannheim, Germany

Posted on 03:34 by Unknown
The Focus Area Web-based Systems (Prof. Christian Bizer) within the Research
Group Data and Web Science at the University of Mannheim is seeking to fill
two full-time positions:
1. PostDoc Researcher – EU Project LOD2
2.Graduate Research Associate / PhD Student – EU Project LOD2


PostDoc Researcher – EU Project LOD2

The researcher is expected to carry out research on Web Data Integration
(Schema Matching, Identity Resolution, Data Quality Assessment and Fusion)
as well as Large-Scale Data Extraction in the context of the EU research
project LOD2. The results of the research work should contribute to the
further development of the LDIF – Linked Data Integration Framework,
WebDataCommons and DBpedia and be integrated into the LOD2 Technology Stack.
The future holder of this position should have a proven academic record in
one or several of the following areas:
• Data Integration
• Data Mining
• Linked Data and Semantic Web Technologies We expect candidates to have a
PhD degree in computer science or a related discipline, have good
programming skills (Java or Scala) and be fluent in English. Experience with
large-scale data processing techniques such as Hadoop is a plus. The
position should ideally be filled in November 2012 and is available until
the end of the LOD2 project in August 2014.


Graduate Research Associate / PhD Student – EU Project LOD2

The graduate research associate is expected to carry out research on Web
Data Integration (Schema Matching, Identity Resolution, Data Quality
Assessment and Fusion) as well as Large-Scale Data Extraction in the context
of the EU research project LOD2. The results of the research work should
contribute to the further development of the LDIF – Linked Data Integration
Framework, WebDataCommons and DBpedia and be integrated into the LOD2
Technology Stack. The graduate research associate is expected to work
towards a PhD degree on a topic connected with the project.
Experience in scientific work as well as knowledge in one or several of the
following areas are of advantage:

• Data Integration
• Data Mining
• Linked Data and Semantic Web Technologies
• Large-scale Data Processing Techniques such as Hadoop
We expect candidates to have a university degree in computer science or a
related discipline, have good programming skills (Java or Scala) and be
fluent in English. The position should ideally be filled in November 2012
and is available until the end of the LOD2 project in August 2014.


How to apply?

The University of Mannheim is an equal-opportunities employer. Preference
will be given to applicants with disabilities provided they have the same
qualifications. The University of Mannheim strives to increase the
proportion of women in research and teaching and we therefore encourage
qualified women to apply.
Please send your application together with the usual documents (curriculum
vitae, information about research and software development experience, list
of publications, copies of certificates) no later than 15th October 2012 as
PDF by email using a subject line starting with [LOD2 Application] to

Prof. Dr. Christian Bizer
Research Group Data and Web Science
Universität Mannheim
chris@informatik.uni-mannheim.de

Further information about the Research Group Data and Web Science is found
at
http://dws.informatik.uni-mannheim.de/

Further information about the LOD2 Project is found at
http://lod2.eu/

This job posting is also found at
http://dws.informatik.uni-mannheim.de/en/news/detail/news/2012/09/26/open-po
stdoc-and-phd-position-on-web-data-integration-in-the-eu-project-lod2/


Read More
Posted in 2012, cloud computing, data integration, data mining, doctoral research, eu, fp7, job opening, postdoc, research, semantic web | No comments

Monday, 24 September 2012

Special Issue on Service and Cloud Based Data Integration - JGC

Posted on 03:39 by Unknown


Special Issue on Service and Cloud Based Data Integration at Springer Journal of Grid Computing

   Website: http://users.sdsc.edu/~jianwu/JGC-SCDI-2013/

Introduction

Integration and synthesis of heterogeneous, autonomous and distributed data sources have been an essential and hard issue in enterprise computing, scientific computing and social computing. It is not always feasible to achieve effective data integration around definite schemas when there are mismatches in cross-domain integration and when such issues as compatibility, scalability, timeliness, and user manipulation are concerned. Many traditional data integration approaches/frameworks begin to show their limitations, especially when dealing with situations like data deluge and data source evolution. Service Oriented Architecture, Cloud computing and Web 2.0 techniques have brought light to dealing with these hard issues. Recent years have seen some important progresses and potentials. Some "Data as a Service" applications target fast, on-demand data integration and latest data provisioning. Meanwhile, SOA is being employed by many large projects to deal with data collection, integration and discovery challenges across data repositories.


The Special Issue on Service and Cloud Based Data Integration will provide the scientific and industrial community a dedicated forum, within the prestigious Springer Journal of Grid Computing, for presenting novel models, methodologies, and solution patterns that address the data integration issue and fit in the service and cloud based settings. This special issue will focus on the use of service and/or cloud based technologies to meet the new data integration challenges that are not well served by the current approaches. We believe this venue will be an excellent place to help researchers, practitioners and vendors in this community show latest progresses, determine future goals, and present techniques for future development of data integration.

Topics of interest include, but are not limited to, the following:
   Service Abstraction and Virtualization for Distributed Data Integration
   Modeling and Composition of Data Services
   Scalability, Reliability and other Quality Assurance of Data Integration
   Correctness Verification and Freshness of Distributed Data Integration Results
   Performance Analysis and Optimization of Distributed Data Integration Process
   Agile and Ad-hoc Integration of Heterogeneous Data Sources
   Automatic Tracing and Response of Changes and Updates
   Real-time Integration and Processing of Large-scale Sensor Data
   Enterprise Mashup
   User-friendly Mashup of Distributed Data Sources
   Data Flow Modeling and Management in Cloud
   Cloud-based Architectures for Distributed Data Integration
   Applications of SOA and Cloud Infrastructure in Data Integration

Important Dates
   Papers Due: October 15, 2012
   First Round Decisions: January 15, 2013
   Major Revisions if needed: March 1, 2013
   Second Round Decisions: April 15, 2013
   Minor Revisions if needed: June 1, 2013
   Final Decision: July 1, 2013
   Publication Date: September 2013

Paper Submission

Authors are invited to submit original and unpublished technical papers. All submissions will be peer-reviewed and judged on correctness, originality, technical strength, significance, quality of presentation, and relevance to the special issue topics of interest. Submitted papers may not have appeared in or be under consideration for another workshop, conference or a journal, nor may they be under review or submitted to another forum during the review process. Submitted papers may not exceed 20 single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (1" margins), including figures, tables, and references. Note that accepted papers will likely be between 15 to 20 pages, depending on a variety of factors. For more information for preparing the submitted papers, please see http://www.springer.com/computer/communication+networks/journal/10723, under "Instructions for Authors". The papers (PDF format) must be submitted online at http://grid.edmgr.com/ before the deadline. Please specify the article type to be "special issue: data integration" when submitting the paper on the website. For any questions on the submission process, please email the guest editors at jgc.scdi.2013@gmail.com.

Special Issue Guest Editors
   Yanbo Han (hanyanbo@ncut.edu.cn), Research Center for Cloud Computing, North China University of Technology, China
   Jianwu Wang (jianwu@sdsc.edu), San Diego Supercomputer Center, University of California, San Diego, U.S.A.

Editors-in-Chief
   Peter Kacsuk, Hungarian Academy of Sciences
   Ian Foster, University of Chicago & Argonne National Laboratory

More Information
   The Call For Paper (CFP) information can also be found from the Springer Journal of Grid Computing web site at its left side. It's under
'Author Academy: Training for Authors' item, so you may need click the downward arrow first. The direct link for the CFP at Springer Website
is http://www.springer.com/cda/content/document/cda_downloaddocument/CFP-%20Special+Issue+of+Journal+of+Grid+Computing.pdf?SGWID=0-0-45-1335517-%20p35498653.
   The CFP page at the web site of Research Center for Cloud Computing, North China University of Technology: The CFP page at Research Center
for Cloud Computing (http://decloud.ncut.edu.cn/news/call-for-papers-special-issue-on-service-and-cloud-based-data-integration-springer-journal-of-grid-computing).
Read More
Posted in call for papers, cloud computing, data integration, journal, service integration, special issue | No comments

Tuesday, 26 June 2012

Special Issue on Service and Cloud Based Data Integration - Springer Journal of Grid Computing

Posted on 01:21 by Unknown


Special Issue on Service and Cloud Based Data Integration

Springer Journal of Grid Computing

Website: http://users.sdsc.edu/~jianwu/JGC-SCDI-2013/

Introduction
Integration and synthesis of heterogeneous, autonomous and distributed data sources have been an essential and hard issue in enterprise computing, scientific computing and social computing. It is not always feasible to achieve effective data integration around definite schemas when there are mismatches in cross-domain integration and when such issues as compatibility, scalability, timeliness, and user manipulation are concerned. Many traditional data integration approaches/frameworks begin to show their limitations, especially when dealing with situations like data deluge and data source evolution. Service Oriented Architecture, Cloud computing and Web 2.0 techniques have brought light to dealing with these hard issues. Recent years have seen some important progresses and potentials. Some "Data as a Service" applications target fast, on-demand data integration and latest data provisioning. Meanwhile, SOA is being employed by many large projects to deal with data collection, integration and discovery challenges across data repositories.
The Special Issue on Service and Cloud Based Data Integration will provide the scientific and industrial community a dedicated forum, within the prestigious Springer Journal of Grid Computing, for presenting novel models, methodologies, and solution patterns that address the data integration issue and fit in the service and cloud based settings. This special issue will focus on the use of service and/or cloud based technologies to meet the new data integration challenges that are not well served by the current approaches. We believe this venue will be an excellent place to help researchers, practitioners and vendors in this community show latest progresses, determine future goals, and present techniques for future development of data integration.


Topics of interest include, but are not limited to, the following:
·  Service Abstraction and Virtualization for Distributed Data Integration
·  Modeling and Composition of Data Services
·  Scalability, Reliability and other Quality Assurance of Data Integration
·  Correctness Verification and Freshness of Distributed Data Integration Results
·  Performance Analysis and Optimization of Distributed Data Integration Process
·  Agile and Ad-hoc Integration of Heterogeneous Data Sources
·  Automatic Tracing and Response of Changes and Updates
·  Real-time Integration and Processing of Large-scale Sensor Data
·  Enterprise Mashup
·  User-friendly Mashup of Distributed Data Sources
·  Data Flow Modeling and Management in Cloud
·  Cloud-based Architectures for Distributed Data Integration
·  Applications of SOA and Cloud Infrastructure in Data Integration


Important Dates
·  Papers Due: October 15, 2012
·  First Round Decisions: January 15, 2013
·  Major Revisions if needed: March 1, 2013
·  Second Round Decisions: April 15, 2013
·  Minor Revisions if needed: June 1, 2013
·  Final Decision: July 1, 2013
·  Publication Date: September 2013


Paper Submission
Authors are invited to submit original and unpublished technical papers. All submissions will be peer-reviewed and judged on correctness, originality, technical strength, significance, quality of presentation, and relevance to the special issue topics of interest. Submitted papers may not have appeared in or be under consideration for another workshop, conference or a journal, nor may they be under review or submitted to another forum during the review process. Submitted papers may not exceed 20 single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (1" margins), including figures, tables, and references. Note that accepted papers will likely be between 15 to 20 pages, depending on a variety of factors. For more information for preparing the submitted papers, please see http://www.springer.com/computer/communication+networks/journal/10723, under "Instructions for Authors". The papers (PDF format) must be submitted online at http://grid.edmgr.com/ before the deadline. Please specify the article type to be "special issue: data integration" when submitting the paper on the website. For any questions on the submission process, please email the guest editors at jgc.scdi.2013@gmail.com.


Special Issue Guest Editors
·  Yanbo Han (hanyanbo@ncut.edu.cn), Research Center for Cloud Computing, North China University of Technology, China
·  Jianwu Wang (jianwu@sdsc.edu), San Diego Supercomputer Center, University of California, San Diego, U.S.A.


Editors-in-Chief
·  Peter Kacsuk, Hungarian Academy of Sciences
·  Ian Foster, University of Chicago & Argonne National Laboratory

Read More
Posted in call for papers, cloud computing, data integration, journal, special issue, Springer | No comments
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Blog Archive

  • ▼  2013 (216)
    • ▼  December (8)
      • WWW 2014 Workshop - Connecting Online & Offline Li...
      • Professor/Director, Serious Games Institute, Coven...
      • Job Opening on Large-Scale Data Management in Sens...
      • PhD Fellowship in the area of Big Data Analytics, ...
      • ACM International Conference on Recommender System...
      • Numerous Erasmus Mundus Joint Doctorate Fellowship...
      • Second International Workshop on Collaboration and...
      • Special Issue on Recommender System Benchmarking -...
    • ►  November (27)
    • ►  October (16)
    • ►  September (15)
    • ►  August (1)
    • ►  July (19)
    • ►  June (22)
    • ►  May (18)
    • ►  April (22)
    • ►  March (17)
    • ►  February (27)
    • ►  January (24)
  • ►  2012 (284)
    • ►  December (37)
    • ►  November (34)
    • ►  October (29)
    • ►  September (38)
    • ►  August (30)
    • ►  July (17)
    • ►  June (39)
    • ►  May (47)
    • ►  April (13)
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