[Call for Papers] CIKM 2013 : ACM Conference of Information and Knowledge Management

Conference Series : Conference on Information and Knowledge Management

Link: http://www.cikm2013.org/

Oct 27, 2013 – Nov 1, 2013 (San Francisco, CA, USA)
Abstract Registration Due: May 10, 2013
Submission Deadline: May 17, 2013
Notification Due: Jul 15, 2013
Final Version Due: Aug 11, 2013

Call For Papers

The 22st ACM International Conference on Information and Knowledge Management (CIKM 2013) will be held from October 27 to November 1, 2013 in San Francisco Airport Marriott Waterfront, Burlingame, California, USA. 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 2013, we will continue the tradition of promoting collaboration among multiple areas. We encourage submissions of high quality papers on all topics in the general areas of databases, information retrieval, and knowledge management. Topics of interest in the three tracks include, but are not limited to:

Databases

Access methods and indexing
Authorization, data privacy and security
Concurrency control and recovery
Data adaptability, reusability and quality
Database languages, models and interfaces
Information integration, data provenance, probabilistic databases
Cloud computing, peer-to-peer, parallel and distributed databases
Query processing, optimization and performance
Semi-structured data processing, XML filtering and routing
Stream-based processing, real-time and network databases
String databases, blogs and social search
Systems, middleware, applications and experiences
Temporal, spatial, mobile, multimedia and scientific databases

Information Retrieval

Semi-Structured Information Retrieval
Semantic and Entity-Based Information Retrieval
Domain-specific IR (legal, genome, chemical, etc.)
Citation Analysis and Social Networks for IR
Distributed IR and Peer-to-Peer Search
Filtering (recommender systems, topic tracking)
User Modeling for IR, Search Personalization
User Analysis and Privacy
IR Architectures, Scalability and Efficiency
IR Evaluation and User Studies
Language Specific IR (multi-lingual, NLP, question and answer)
Machine Learning for IR
Multimedia IR (Audio, Speech, Video, Image)
Web Search and Advertising
Adversarial IR and Spam
Novel IR Interfaces (mobile, explorative, interactive)
Foundation of Information Retrieval (theory, ranking, etc.)

Knowledge Management

Data mining theory, methods, and applications
Machine learning applications
Big data analytics
Data warehousing and business intelligence
Information extraction and filtering
Knowledge Synthesis and Visualization
Semantic Techniques
Social networks and social media
Knowledge management in innovative applications, such as healthcare information and network security intelligence