DocumentCode
2283205
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
Volume
3
fYear
2008
fDate
9-12 Dec. 2008
Firstpage
521
Lastpage
524
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/WIIAT.2008.190
Filename
4740833
Link To Document