The temporal query language TQuel
ACM Transactions on Database Systems (TODS)
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CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Communications of the ACM
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
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Algorithmic Graph Theory and Perfect Graphs (Annals of Discrete Mathematics, Vol 57)
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Dynamic query tools for time series data sets: timebox widgets for interactive exploration
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An ontology of time for the semantic web
ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on Temporal Information Processing
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Theory of Relational Databases
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
Proceedings of the 15th international conference on World Wide Web
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ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
SQL The Complete Reference, 3rd Edition
SQL The Complete Reference, 3rd Edition
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Editorial: Challenging problems of geospatial visual analytics
Journal of Visual Languages and Computing
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Available visual temporal querying tools do not provide the means for formulating complex temporal queries. For these queries users have to adopt text-based querying languages, such as SQL. The problem, however, is that using text-based languages is less comfortable than using visual tools and, most important, in some cases temporal queries can be extremely difficult to formulate for users that do not possess programming competences. In this paper we propose the Time Automaton, a highly flexible visual mechanism that enables the formulation of a large set of different types of temporal queries, ranging from the simple to the most complex ones. To prove its practical application we created a tool that implements the mechanism and used it to analyze a real dataset. Time Automaton was validated against a representative sample of temporal queries extracted from the matured OWL-Time Ontology. In order to understand if users, with or without programming competences, could understand and use the Time Automaton we conducted a usability experiment.