CIKM 2014: Call for Research and Poster Papers

November 3-7, 2014, Shanghai, China
 
http://cikm2014.fudan.edu.cn
 
Call For Paper

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 quality, 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 another).

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 June 11, 2014 (PDT, UTC-7)

Research Paper and Poster Paper Submission Deadline: June 11, 2014 (PDT, UTC-7)

Author Feedback Request: July 21, 2014 (PDT, UTC-7)

Acceptance Notification: August 8, 2014 (PDT, UTC-7)

Final Version Submission Deadline: August 31, 2014 (PDT, UTC-7)

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)

Competition Chair

Xuanjing Huang (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, Google Research (Data Integration and Data Provenance)
  • 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, Cloudera (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)
  •  Karen Church, Yahoo! (Mobile Search)
  •  Brian Davison, Lehigh University (Adversarial IR and Spam)
  •  Leif Azzopardi, University of Glasgow (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 (Computational 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 Applications)
  • 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

         For detailed information, please visit: http://cikm2014.fudan.edu.cn/index.php/Index/info/id/10.