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CIKM 2014 : ACM International Conference on Information and Knowledge Management (CIKM 2014)


Conference Series : Conference on Information and Knowledge Management
When Nov 3, 2014 - Nov 7, 2014
Where Shanghai, China
Abstract Registration Due Jun 4, 2014
Submission Deadline Jun 11, 2014
Notification Due Aug 8, 2014

Call For Papers

CIKM 2014: Call for Research and Poster Papers

November 3-7, 2014, Shanghai, China

The 23rd ACM International Conference on Information and Knowledge
Management (CIKM 2014) will be held from Nov 3-7, 2014 in Shanghai, China.
CIKM is a top-tier ACM conference in the areas of information retrieval,
knowledge management and databases. Since 1992, it has successfully brought
together leading researchers and developers from the three communities. The
purpose of the conference is to identify challenging problems facing the
development of future knowledge and information systems, and to shape future
research directions through the publication of high qualsity, applied and
theoretical research findings. In CIKM 2014, we will continue the tradition
of promoting collaboration among multiple areas. We encourage submissions of
high quality research papers and posters on all topics in the general areas
of databases, information retrieval, and knowledge management.

Topics of Interest
Topics of interest of CIKM2014 include, but are not limited to, the
following areas in three distinct tracks:

Database Track
- Applications and Experiences
- Cloud Computing and Big Data Analytics
- Data Integration and Data Provenance
- Knowledge Base and Semantic Network
- Main-memory, Real-time, Parallel and Distributed Database Systems
- Query Language, Query Processing, Access Methods, and Concurrency Control
- Security and Privacy
- Stream Data and Event Processing
- Spatial, Temporal, Multimedia, and Mobile Data Management
- Semi-structured and Unstructured Data Management and Analytics
- Uncertain, Probabilistic, and Scientific Data Management
- Web and Social Data Management

Information Retrieval Track
- Adversarial IR and Spam
- Collaborative, Crowd-Based, and Game-Based Approaches to IR
- Computations Linguistics for IR (QA, Summarization, Extraction)
- Cross-language and Multilingual IR
- Distributed and Peer-to-Peer IR
- Domain-specific IR (legal, genome, chemical, etc)
- Filtering, Time-Sensitive and Real-time Search
- Foundations of Information Retrieval
- IR Approaches to Computational Advertising
- IR Architectures, Scalability and Efficiency
- IR Evaluation
- Machine Learning for IR
- Mobile Search
- Multimedia IR (Audio, Speech, Video, Image)
- Novel IR Interfaces (Exploratory, Interactive, Accessible)
- Personalized Search
- Semantic and Entity-Based IR
- Semi-Structured Information Retrieval
- Social Networks and IR
- User Studies, Click Models, Interaction Models

Knowledge Management Track
- Clustering, Classification, and Ranking
- Data Mining and Knowledge Management for Bioinformatics
- Data Mining Theory, Methods, and Applications
- Information Filtering and Recommender Systems
- Knowledge Representation, Reasoning, and Visualization
- Large-Scale Machine Learning and Statistical Techniques
- Mining Big Data and Streams
- Personalization, Advertising, and Search
- Secure and Privacy-Preserving Data Mining
- Social Networks and Social Media
- Spatial, Temporal, and Graph Data Mining
- Text and Web Data Mining
- Time-Series and Pattern Mining

Paper Submissions
Authors are invited to submit original, unpublished research papers, and
poster papers, that are not being considered for publication in any other
forum. Research papers should satisfy the standard requirements of a usual
top-tier international research conference. Poster papers should describe
interesting ongoing work, new discoveries and insights, or summaries of
significant projects, etc.

Manuscripts should be submitted electronically, in PDF format and formatted
using the ACM camera-ready templates. Research papers cannot exceed 10 pages
in length and poster papers cannot exceed 4 pages in length. Papers should
be submitted through the CIKM 2014 online submission system, which is also
the online review system for the conference.

CIKM 2014 research and poster paper review takes the double-blind format,
and therefore, papers must be properly anonymized (improper anonymization
may be a ground for rejection without review). Papers are to be submitted to
one of the three tracks (DB, IR, KM). The same program committee of each
track will review both the research papers and the poster papers submitted
into the track. Multiple track submissions are not allowed. There is no
short paper category, and all papers are going to receive an accept or
reject decision (i.e., papers are not going to be moved from one category to

Uploading instructions and more detailed submission instructions for papers,
and workshop/tutorial proposals are to be announced. Please visit the
conference website for more details.

Each accepted research paper requires at least one unique full (non-student)
registration regardless of the status of the registered author(s). Each
poster paper must also have at least one (not necessarily unique) author
registered (student registration allowed for posters). Also, one of the
authors (or a qualified substitute, with qualification judged by the Program
Committee chairs) must give the presentation of the paper at the conference
as arranged in the conference program. Poster paper presentations will be
done in the paper poster format, and the authors are to bring their own
large format paper posters to the conference, while the conference provides
the facility to display the posters. The papers with no shows will not be
indexed by the ACM digital library and will be pulled out from the published
proceedings if possible.

For any questions about paper submission, please contact the program
committee track chairs.

Important Dates
Research Paper Abstract Submission Deadline: June 4, 2014
Research Paper and Poster Paper Submission Deadline: June 11, 2014
Author Feedback Request: July 21, 2014
Acceptance Notification: August 8, 2014
Final Version Submission Deadline: August 31, 2014

Conference Organization
General Chairs
Jianzhong Li (Harbin Inst. of Technology)
X. Sean Wang (Fudan University)

Program Chairs
DB Track: Min Wang (Google)
IR Track: Ian Soboroff (NIST) and Torsten Suel (NYU)
KM Track: Minos Garofalakis (TU Crete)

Industrial Program Chairs
Hang Li (Huawei)
Rajeev Rastogi (Amazon)

Tutorial Chair
Zhi-Hua Zhou (Nanjing University)

Workshop Chairs
Huan Liu (Arizona State University)
Xiaofeng Meng (Renmin University)

Panel Chairs
Jun Yang (Duke University)
Ge Yu (Northeastern University, China)

Demo Chairs
Neoklis Polyzotis (UC Santa Cruz)
Xiaohui Yu (Shandong University)

Proceedings Chairs
Hui Fang (University of Delaware)
Guoliang Li (Tsinghua University)

Sponsorship Chairs
Lei Chen (HKUST)
Feifei Li (University of Utah)

Publicity Chairs
Shimin Chen (Chinese Academy of Science)
Antonios Deligiannakis (TU Crete)
Anastasios Kementsietsidis (IBM Research)

Finance Chair (Treasurer)
E.K. Park (CSU-Chino)
Local Organization Chair
Xiangdong Zhou (Fudan University)

Program Area Chairs
Database Track
Kaushik Chakrabarti, Microsoft Research (Applications and Experiences)
Shimin Chen, Chinese Academy of Sciences (Cloud Computing and Big Data Analytics)
Reynold Cheng, University of Hong Kong (Uncertain, Probabilistic, and
Scientific Data Management)
Anastasios Kementsietsidis, IBM Research (Data Integration and Data
George Kollios, Boston University (Spatial, Temporal, Multimedia, and
Mobile Data Management)
Xuemin Lin The University of New South Wales (Semi-structured and
Unstructured Data Management and Analytics)
Huan Liu, Arizona State University (Web and Social Data Management)
Vivek Narasayya, Microsoft Research (Query Language, Query Processing,
Access Methods, and Concurrency Control)
Ippokratis Pandis, IBM Research (Main-memory, Real-time, Parallel and
Distributed Database Systems)
Milan Petkovic, Eindhoven University of Technology (Security and Privacy)
Haixun Wang, Google Research (Knowledge Base and Semantic Network)
Jianyong Wang, Tsinghua University (Stream Data and Event Processing)

Information Retrieval Track
Roi Blanco, Yahoo! (Semantic and Entity-Based IR)
Francesco Bonchi, Yahoo! (Social Networks and IR)
Ben Carterette, University of Delaware (IR Evaluation)
Brian Davison, Lehigh University (Adversarial IR and Spam)
Djoerd Hiemstra, University of Twente (Foundations of Information Retrieval)
Noriko Kando, National Institute of Informatics (Cross-language and
Multilingual IR)
Mounia Lalmas, Yahoo! (Personalized Search)
Matt Lease, University of Texas (Collaborative, Crowd-Based, and Game-
Based Approaches to IR)
Jimmy Lin, University of Maryland (Filtering, Time-Sensitive
and Real-time Search)
Mihai Lupu, TU Wien (Domain-specific IR: legal, genome, chemical, etc)
Paul McNamee, The Johns Hopkins University (Computations Linguistics for
IR: QA, Summarization, Extraction)
Tao Mei, Microsoft Research (Multimedia IR: Audio, Speech, Video, Image)
Prasenjit Mitra, Pennsylvania State University (Semi-Structured
Information Retrieval)
Vanessa Murdock, Microsoft (IR Approaches to Computational Advertising)
Luo Si, Purdue University (Distributed and Peer-to-Peer IR)
Mark Smucker, University of Waterloo (co-chair for Novel IR Interfaces:
Exploratory, Interactive, Accessible)
Ryen White, Microsoft Research (co-chair for Novel IR Interfaces:
Exploratory, Interactive, Accessible)
Yi Zhang, University of California Santa Cruz (Machine Learning for IR)
Justin Zobel, University of Melbourne (IR Architectures, Scalability
and Efficiency)

Knowledge Management Track
Deepak Agarwal, LinkedIn (Information Filtering and Recommender Systems)
Diego Calvanese, Free University of Bozen-Bolzano (Knowledge
Representation, Reasoning, and Visualization)
Soumen Chakrabarti, Indian Institute of Technology Bombay (Text and Web
Data Mining)
Graham Cormode, University of Warwick (Mining Big Data and Streams)
Rainer Gemulla, Max-Planck-Institut fur Informatik (Large-Scale
Machine Learning and Statistical Techniques)
Aristides Gioni, Aalto University (Data Mining Theory, Methods, and
Vanja Josifovski, Google (Personalization, Advertising, and Search)
Murat Kantarcioglu, University of Texas at Dallas (Secure and Privacy-
Preserving Data Mining)
Eamonn Keogh, University of California Riverside (Time-Series
and Pattern Mining)
Nikos Mamoulis, University of Hong Kong (Spatial, Temporal, and Graph
Data Mining)
Joerg Sander, University of Alberta (Clustering, Classification, and Ranking)
Evimaria Terzi, Boston University (Social Networks and Social Media)
Mohammed J. Zaki, Rensselaer Polytechnic Institute (Data Mining and
Knowledge Management for Bioinformatics)

Program Committee Member for each track
To be announced

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