CIKM 2018 - 27th ACM International Conference on Information and Knowledge Management
Topics/Call fo Papers
We encourage submissions of high quality research papers on all topics in the general areas of databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas:
Data and information acquisition and preprocessing (e.g., data crawling, data quality, data privacy)
Integration and aggregation (e.g., semantic processing, data provenance, data warehousing, privacy and security, modelling)
Infrastructures (e.g., cloud computing, data intensive computing, database systems, indexing and compression, search engine architectures)
Special data processing (e.g., multilingual text, stream, spatiotemporal, multimedia, scientific, and social media data)
Integration of knowledge structures (e.g., natural language processing, speech recognition, computer vision, exploiting external sources)
Analysis (e.g., OLAP, data mining, machine learning, scalable analysis algorithms, event detection and tracking, deep neural networks)
Information access and retrieval (e.g., ad hoc and web search, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems)
Data presentation (e.g., visualization, summarization, readability, VR, speech output)
Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, personalization, interactive analysis, mobile computing, spoken interfaces)
Crowd sourcing and exploitation of online resources
Evaluation (e.g., online and offline evaluation, study of best practices)
Applications (e.g., urban systems, biomedical and health informatics, security, business intelligence, crisis informatics, computational social science, data-enabled discovery, social media, recall-oriented search)
Data and information acquisition and preprocessing (e.g., data crawling, data quality, data privacy)
Integration and aggregation (e.g., semantic processing, data provenance, data warehousing, privacy and security, modelling)
Infrastructures (e.g., cloud computing, data intensive computing, database systems, indexing and compression, search engine architectures)
Special data processing (e.g., multilingual text, stream, spatiotemporal, multimedia, scientific, and social media data)
Integration of knowledge structures (e.g., natural language processing, speech recognition, computer vision, exploiting external sources)
Analysis (e.g., OLAP, data mining, machine learning, scalable analysis algorithms, event detection and tracking, deep neural networks)
Information access and retrieval (e.g., ad hoc and web search, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems)
Data presentation (e.g., visualization, summarization, readability, VR, speech output)
Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, personalization, interactive analysis, mobile computing, spoken interfaces)
Crowd sourcing and exploitation of online resources
Evaluation (e.g., online and offline evaluation, study of best practices)
Applications (e.g., urban systems, biomedical and health informatics, security, business intelligence, crisis informatics, computational social science, data-enabled discovery, social media, recall-oriented search)
Other CFPs
- 2018 2nd International Symposium on Intelligent Unmanned Systems and Artificial Intelligence(SIUSAI 2018)
- 2018 2nd International Conference on Vision, Image and Signal Processing (ICVISP 2018)
- Computer Science & Systems (CSS)
- Software Systems Development & Applications (SSD&A)
- 13th International Symposium Advances in Artificial Intelligence and Applications (AAIA'18)
Last modified: 2017-10-14 23:01:45