【Call for Paper】2014 3rd International Conference on Information and Knowledge Management (ICIKM 2014)

ICIKM is the main annual research conference aimed at presenting current research being carried out. The ICIKM 2012 and 2013 were held in Kuala Lumpur and Chengdu respectively, and the...

Computer Science, Management

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ICIKM is the main annual research conference aimed at presenting current research being carried out. The ICIKM 2012 and 2013 were held in Kuala Lumpur and Chengdu respectively, and the currently ICIKM 2014 will be held on 17 to 18 July 2014 in Bangkok, Thailand. The idea of the conference is for the scientists, scholars, engineers and students from the Universities all around the world and the industry to present ongoing research activities, and hence to foster research relations between the Universities and the industry.

ICIKM 2014 is sponsored by International Association of Computer Science and Information Technology, and technical assisted by many other universities and institutes.

International Journal of Information and Education Technology (IJIET) is an international academic journal which gains a foothold in Singapore, Asia and opens to the world. It aims to promote the integration of information and education technology. The focus is to publish papers on state-of-the-art Information and Education Technology.

As usual, all papers accepted by ICIKM 2014 will be published in the International Journal of Information and Education Technology (ISSN: 2010-3689 DOI: 10.7763/IJIET),which will be indexed by DOAJ, Electronic Journals Library, Engineering & Technology Digital Library, Google Scholar, Crossref and ProQuest

2014 3rd International Conference on Information and Knowledge Management (ICIKM 2014) is the premier forum for the presentation of technological advances and research results in the fields of Information and Knowledge Management. ICIKM 2014 will bring together leading engineers and scientists in Information and Knowledge Management from around the world.

Topics of interest for submission include, but are not limited to:

Data Management

Benchmarking and performance evaluation

Data exchange and integration

Data quality, cleaning and lineage

Database monitoring and tuning

Data privacy and security

Data warehousing and mining

Embedded, sensor, mobile databases and applications

Managing uncertain, imprecise and inconsistent information

Metadata management

Multilingual data management

Multimedia data management and mining

Novel Data Types

Parallel and distributed databases

Peer-to-peer data management

Personalized information systems

Query processing and optimization

Replication, caching, and publish-subscribe systems

Text search and database querying

Semi-structured data

Social Networks

Storage and transaction management

Web services


Access methods and indexing

Authorization, privacy and security

Concurrency control and recovery

Database languages and models

Mobile databases and ubiquitous data management

Peer to peer, parallel and distributed databases

Query processing, optimization and performance

Real-time and active database

Scientific and biological databases

Semi-structured data and XML databases

Stream-based processing and sensor databases

Temporal, spatial and multimedia databases

Information Retrieval

Cross-language and multi-lingual information retrieval

Digital libraries

Document and query representation

Document summarization and question answering

Document tracking, routing, and filtering

Hypertext and hypermedia management

Information retrieval applications

Information retrieval evaluation, metrics

Information retrieval models and theory

Information visualization and exploration

Interactive retrieval, user models and studies

Interoperability and integration

Metadata extraction and generation

Multi-media and content-based information retrieval, music retrieval

Performance issues in information retrieval

Personalization and personal information management

Question answering

Test collections, experimental design

Text classification and clustering, machine learning

Web and distributed information retrieval

Knowledge Management

Classification and clustering

Data/information extraction and integration

Data mining applications

Explanation and Knowledge Provenance

Frequent itemsets and sequential pattern mining

Knowledge management and synthesis

Link analysis and community discovery

Mining and representing data streams, web content, structure and usage

Mining and representing temporal and spatial data

Mining and representing text and semi-structured data

Mining and representing reviews, blogs & discussions

Novel data mining algorithms

Pre-processing, post-processing and visual data mining

Security and privacy issues

Semantic Integration

Knowledge Management Processes

Data Mining (store/discover/propagate)

Technologies for Knowledge Sharing

Learning Technologies

Management and Measurement of Intangibles

Optimization of Organisations

Assessment Methods

Innovation Methods

Social Networks and Psychological Dimensions

Case Studies on Collaboration

Tools for Knowledge Management

From: July 17, 2014 10:00
To: July 18, 2014 20:30

Hotel Novotel Bangkok Platinum, 220 Phetchaburi, 10400, Bangkok, Thailand


Computer Science, Management


Data Management, Databases, Information Retrieval, Knowledge Management

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