Title :
Meta-textual models of relational knowledgebase
Author_Institution :
Academic State Tax Service of Ukraine, Irpin
Abstract :
The formalising of relations of the theory of relational databases encompasses in the main conventional entity set models and data structures. There is an analytical vehicle and formal definition of knowledge bases. The offered tool of meta-textual relational models of knowledge opens broad capabilities of development of the theory of relational knowledge bases. The basic fields of application: identification and extraction of knowledge in the natural language texts, semantic multilanguage text translation, DSS, data warehousing
Keywords :
data structures; data warehouses; decision support systems; deductive databases; entity-relationship modelling; knowledge acquisition; knowledge based systems; meta data; natural languages; relational databases; DSS; data structures; data warehousing; entity set model; formal definition; knowledge base; knowledge extraction; knowledge identification; meta-textual relational model; natural language text; relational database system; semantic multilanguage text translation; Control systems; Data mining; Data processing; Data structures; Data warehouses; Decision support systems; Natural languages; Relational databases; Vehicles; Warehousing;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2003. Proceedings of the Second IEEE International Workshop on
Conference_Location :
Lviv
Print_ISBN :
0-7803-8138-6
DOI :
10.1109/IDAACS.2003.1249544
