Intelligent Natural Language Query Interface for Temporal Databases
نویسنده
چکیده
In this article, in order to enable a novice user to interact with the temporal database system and simplify the query processing in temporal database system, a Temporal Natural Language Interface(TNLP) has been designed and implemented. Object evolution in temporal databases is interesting, but none of the SQL-like algebraic languages take evolution into account. This work makes use of a temporal event matching approach for querying temporal data and takes care of evolution. In this work, a Temporal Event Matching Language (TEML) based on the concept of cursor has been designed and implemented for the purpose of pattern matching in query processing. This system has been implemented using Java that can be used in any operating system that supports Java Virtual Machine and has been tested with data from the banking domain.
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تاریخ انتشار 2004