Title :
A relational approach to querying data streams
Author :
Hartzman, Carl S. ; Watters, Carolyn R.
Author_Institution :
Dept. of Math., Stat. & Comput. Sci., Dalhousie Univ., Halifax, NS, Canada
fDate :
12/1/1990 12:00:00 AM
Abstract :
Data streams are long, relatively unstructured sequences of characters that contain information such as electronic mail or a tape backup of various documents and reports created in an office. A conceptual framework is presented, using relational algebra and relational databases, within which data streams may be queried. As information is extracted from the data streams, it is put into a relational database that may be queried in the usual manner. The database schema evolves as the user´s knowledge of the content of the data stream changes. Operators are defined in terms of relational algebra that can be used to extract data from a specially defined relation that contains all or part of the data stream. This approach to querying data streams permits the integration of unstructured data with structured data. The operators defined extend the functionality of relational algebra in much the same way that the join does relative to the basic operators select, project, union, difference, and Cartesian product
Keywords :
database theory; information retrieval systems; relational databases; conceptual framework; data stream querying; database schema; electronic mail; office; relational algebra; relational databases; structured data; tape backup; unstructured data; unstructured sequences; Algebra; Data mining; Electronic mail; Image databases; Information retrieval; Monitoring; Periodic structures; Relational databases; Streaming media; White noise;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on