LifeLines: visualizing personal histories
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A framework for knowledge-based temporal abstraction
Artificial Intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
Visual Data Mining: Techniques and Tools for Data Visualization and Mining
Visual Data Mining: Techniques and Tools for Data Visualization and Mining
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
IEEE Transactions on Knowledge and Data Engineering
A Graphical Query Language: VISUAL and Its Query Processing
IEEE Transactions on Knowledge and Data Engineering
Formalizing visual interaction with historical databases
Information Systems
Visualizing queries on databases of temporal histories: new metaphors and their evaluation
Data & Knowledge Engineering - Special issue: Temporal representation and reasoning
Dipe-D: A Tool for Knowledge-Based Query Formulation in Information Retrieval
Information Retrieval
A Knowledge-Based Query System for Biological Databases
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
Data Models with Multiple Temporal Dimensions: Completing the Picture
CAiSE '01 Proceedings of the 13th International Conference on Advanced Information Systems Engineering
Interactive Exploration of Time Series Data
DS '01 Proceedings of the 4th International Conference on Discovery Science
Graphical interaction with heterogeneous databases
The VLDB Journal — The International Journal on Very Large Data Bases
GCH-OSQL: a temporally-oriented object-oriented query language based on a three-valued logic
TIME '97 Proceedings of the 4th International Workshop on Temporal Representation and Reasoning (TIME '97)
Visual Query Operators for Temporal Databases
TIME '97 Proceedings of the 4th International Workshop on Temporal Representation and Reasoning (TIME '97)
Dynamic query tools for time series data sets: timebox widgets for interactive exploration
Information Visualization
An intelligent, interactive tool for exploration and visualization of time-oriented security data
Proceedings of the 3rd international workshop on Visualization for computer security
Artificial Intelligence in Medicine
Journal of Intelligent Information Systems
Visual Methods for Analyzing Time-Oriented Data
IEEE Transactions on Visualization and Computer Graphics
The t4sql temporal query language
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Aligning temporal data by sentinel events: discovering patterns in electronic health records
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluation of an architecture for intelligent query and exploration of time-oriented clinical data
Artificial Intelligence in Medicine
Incremental application of knowledge to continuously arriving time-oriented data
Journal of Intelligent Information Systems
Journal of Biomedical Informatics
A framework for distributed mediation of temporal-abstraction queries to clinical databases
Artificial Intelligence in Medicine
IEEE Transactions on Information Technology in Biomedicine
Information visualization and its application to medicine
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Visualization and interactive analysis of blood parameters with InfoZoom
Artificial Intelligence in Medicine
Intelligent visualization and exploration of time-oriented data of multiple patients
Artificial Intelligence in Medicine
Proceedings of the 1st ACM International Health Informatics Symposium
Visually defining and querying consistent multi-granular clinical temporal abstractions
Artificial Intelligence in Medicine
KR4HC'11 Proceedings of the 3rd international conference on Knowledge Representation for Health-Care
Querying event sequences by exact match or similarity search: Design and empirical evaluation
Interacting with Computers
User-centered visual analysis using a hybrid reasoning architecture for intensive care units
Decision Support Systems
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
Evaluating the readability of extended filter/flow graphs
Proceedings of Graphics Interface 2013
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Time-oriented domains with large volumes of time-stamped information, such as medicine, security information and finance, require useful, intuitive intelligent tools to process large amounts of time-oriented multiple-subject data from multiple sources. We designed and developed a new architecture, the VISualizatIon of Time-Oriented RecordS (VISITORS) system, which combines intelligent temporal analysis and information visualization techniques. The VISITORS system includes tools for intelligent selection, visualization, exploration, and analysis of raw time-oriented data and of derived (abstracted) concepts for multiple subject records. To derive meaningful interpretations from raw time-oriented data (known as temporal abstractions), we use the knowledge-based temporal-abstraction method. A major task in the VISITORS system is the selection of the appropriate subset of the subject population on which to focus during the analysis. Underlying the VISITORS population-selection module is our ontology-based temporal-aggregation (OBTAIN) expression-specification language which we introduce in this study. The OBTAIN language was implemented by a graphical expression-specification module integrated within the VISITORS system. The module enables construction of three types of expressions supported by the language: Select Subjects, Select Time Intervals, and Get Subjects Data. These expressions retrieve a list of subjects, a list of relevant time intervals, and a list of time-oriented subjects' data sets, respectively. In particular, the OBTAIN language enables population-specification, through the Select Subjects expression, by using an expressive set of time and value constraints. We describe the syntax and semantics of the OBTAIN language and of the expression-specification module. The OBTAIN expressions constructed by the expression-specification module, are computed by a temporal abstraction mediation framework that we have previously developed. To evaluate the expression-specification module, five clinicians and five medical informaticians defined ten expressions, using the expression-specification module, on a database of more than 1,000 oncology patients. After a brief training session, both user groups were able in a short time (mean = 3.3 卤 0.53 min) to construct ten complex expressions using the expression-specification module, with high accuracy (mean = 95.3 卤 4.5 on a predefined scale of 0 to 100). When grouped by time and value constraint subtypes, five groups of expressions emerged. Only one of the five groups (expressions using time-range constraints), led to a significantly lower accuracy of constructed expressions. The five groups of expressions could be clustered into four homogenous groups, ordered by increasing construction time of the expressions. A system usability scale questionnaire filled by the users demonstrated the expression-specification module to be usable (mean score for the overall group = 68), but the clinicians' usability assessment (60.0) was significantly lower than that of the medical informaticians (76.1).