Title :
Indexing Method for Transitive Relationships of Product Information
Author :
Lee, Hyunja ; Shim, Junho
Author_Institution :
Dept of Comput. Sci., Sookmyung Women´´s Univ., Seoul
Abstract :
For successfully using a RDBMS as repository for the product information, it is essential that the ontological query be processed efficiently and answered properly on RDBMS. The key point of well processing the ontological queries is whether the various semantic relationships among the concepts of the product ontology are likewise well-processed. Especially, the transitive relationships (i.e. ISA, component-of relationships, etc.) such as ancestors-descendents, parents-children, and taxonomy of products must be processed successfully. To processing the queries over transitive relationships, we suggest the efficient index using the numbering schemes.
Keywords :
database indexing; ontologies (artificial intelligence); query processing; relational databases; RDBMS; database indexing; numbering scheme; product information; product ontology; query processing; semantic relationship; transitive relationship; Computer science; Indexing; Instruction sets; Intelligent agent; Measurement units; OWL; Ontologies; Resource description framework; Taxonomy; Tree graphs; E-commerce; Ontology; Product; Tranasitive relationships; index;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7695-3496-1
DOI :
10.1109/WIIAT.2008.190