Algorithms for integrating PostgreSQL with the semantic web
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Abstract
This paper addresses the integration of the PostgreSQL database management system (DBMS) with the Semantic Web. Integration algorithms based on the use of the DBMS capabilities that do not introduce changes in SQL are proposed. An integration based on one of the algorithms supporting main formats of the Semantic Web is presented. The proposed algorithms can be implemented in different DBMSs supporting triggers (or rules), table functions, and indexing.
Keywords
Resource Description Framework Table Function Logical Inference Query Execution Dynamic Algorithm
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© Pleiades Publishing, Ltd. 2009