International Conference on Information and Knowledge Management ICIKM on March 22-23, 2025 in Prague, Czechia

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
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

Databases
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
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
Management and Measurement of Intangibles
Optimization of Organisations