Title :
An Approach to Semantic Annotation for Metadata in Relational Databases
Author :
Lei Zhang ; Xiaoying Yang
Author_Institution :
Beijing Key Lab., Intell. Telecommun. Software & Multimedia, Beijing
Abstract :
The solution to semantic heterogeneity of the integrated data is a key point in the integration of heterogeneous databases. To aim at adding semantic information to tables and fields in relational databases, a semantic annotation method was developed. The method integrates many different string similarity algorithms to improve similarity algorithms. Firstly, extracting implicit semantic information from metadata in relational databases according to similarities between metadata and the ontology entity; then, the extracted information is annotated using name similarities and structural similarities between metadata and the ontology entity. Tests annotating the metadata in dozens of heterogeneous relational databases had an accurate rate of 82%.
Keywords :
distributed databases; meta data; ontologies (artificial intelligence); query processing; relational databases; heterogeneous database integration; ontology entity; relational database; semantic heterogeneity solution; semantic information extraction; semantic metadata annotation method; string similarity algorithm; Data mining; Deductive databases; Information processing; Laboratories; Machinery; Multimedia databases; Ontologies; Relational databases; Web pages; Web services; metadata in relational databases; ontology; semantic annotation;
Conference_Titel :
Information Processing (ISIP), 2008 International Symposiums on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3151-9
DOI :
10.1109/ISIP.2008.71