SYSTEM/U: a database system based on the universal relation assumption
ACM Transactions on Database Systems (TODS)
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
ACM Transactions on Database Systems (TODS)
On the foundations of the universal relation model
ACM Transactions on Database Systems (TODS)
A simplied universal relation assumption and its properties
ACM Transactions on Database Systems (TODS)
Indexing and retrieval strategies for natural language fact retrieval
ACM Transactions on Database Systems (TODS)
Document processing in a relational database system
ACM Transactions on Information Systems (TOIS)
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Location-dependent query processing: Where we are and where we are heading
ACM Computing Surveys (CSUR)
GEDS: GPU execution of spatio-temporal queries over spatio-temporal data streams
Journal of Embedded Computing
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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.