No IFs, ANDs, or ORs: a study of databases querying
International Journal of Man-Machine Studies
A graphical filter/flow representation of Boolean queries: a prototype implementation and evaluation
Journal of the American Society for Information Science
Infocrystal: a visual tool for information retrieval
Infocrystal: a visual tool for information retrieval
TileBars: visualization of term distribution information in full text information access
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Enhanced dynamic queries via movable filters
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Graphical query specification and dynamic result previews for a digital library
Proceedings of the 11th annual ACM symposium on User interface software and technology
VisDB: Database Exploration Using Multidimensional Visualization
IEEE Computer Graphics and Applications
Dynamic Queries for Visual Information Seeking
IEEE Software
Query, analysis, and visualization of hierarchically structured data using Polaris
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A spreadsheet approach to information visualization
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
Sensitivity encoding to support information space navigation: a design guideline
Information Visualization
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
FindFlow: visual interface for information search based on intermediate results
APVis '06 Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60
Inverse queries: how to get this answer?
i-KNOW '11 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
Représentation visuelle interactive de l'importance subjective de critères de sélection de données
23rd French Speaking Conference on Human-Computer Interaction
Visually defining and querying consistent multi-granular clinical temporal abstractions
Artificial Intelligence in Medicine
An interactive analysis and exploration tool for epigenomic data
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
| Hi-index | 0.00 |
Extracting information from data is an interactive process. Visualization plays an important role, particularly during data inspection. Querying is also important, allowing the user to isolate promising portions of the data. As a result, data exploration environments normally include both, integrating them tightly. This paper presents KMVQL, the Karnaugh map based visual query language. It has been designed to support the interactive exploration of multidimensional datasets. KMVQL uses Karnaugh map as the visual representation for Boolean queries. It provides a visual query interface to help users formulate arbitrarily complex Boolean queries by direct manipulation operations. With KMVQL, users do not have to worry about the logic operators any more, which makes Boolean query specification much easier. The Karnaugh maps also function as visualization spreadsheets that provide seamless integration of queries with their results, which is helpful for users to better understand the data and refine their queries efficiently.