Text generation: using discourse strategies and focus constraints to generate natural language text
Text generation: using discourse strategies and focus constraints to generate natural language text
Formal techniques for data base design
Formal techniques for data base design
Readings in natural language processing
Readings in natural language processing
Getting the message across in RST-based text generation
Current research in natural language generation
Case-based reasoning
Systems for Knowledge Discovery in Databases
IEEE Transactions on Knowledge and Data Engineering
Plots of Narratives over Temporal Databases
DEXA '97 Proceedings of the 8th International Workshop on Database and Expert Systems Applications
Constructing Libraries of Typical Plans
CAiSE '01 Proceedings of the 13th International Conference on Advanced Information Systems Engineering
Understanding and Simulating Narratives in the Context of Information Systems
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
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The temporal dimension adds to databases the capability of functioning as repositories of narratives about the objects involved. Database narratives correspond both to sequences of past events and to simulated future events. This work addresses the problem of displaying such narratives in natural language. We focus here on the first kind of narrative, that is, we analyze a segment extracted from a log of the execution of pre-defined applicationoriented operations, which is treated as a plot of the narrative in question. The main point in the presentation is that a three-level conceptual schema of the database provides a sound basis for interpreting such plots, although it should be complemented with further linguistic processing for the sake of fluency and conciseness. The schema-driven method for generating narratives from plots is described. A prototype Prolog implementation of the method is operational. A simple example is used to illustrate the discussion.