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Equivalent individuals on the semantic Web
By: Yanhui Li; Peng Wang; Jianjiang Lu; Dazhou Kang; Baowen Xu;
2004 / IEEE / 0-7803-8819-4
Description
This item was taken from the IEEE Conference ' Equivalent individuals on the semantic Web ' Individuals are names of objects on the Web. Since different sources often use different names for the same object, it needs to map between these names. The semantic Web has to integrate data from heterogeneous sources. It needs to check whether two individuals are equivalent. Current approaches are based on attributes matching or logic reasoning. The logic reasoning approaches are often time-consuming or unfeasible. The approaches based on matching attributes are likely to give uncertain answers. This paper introduces a method based on disjoint-set union algorithm to speedup the reasoning processes and makes the answers reusable. Then we propose a framework of checking equivalence between individuals using both attributes matching and logic reasoning on the semantic Web.
Related Topics
Logic Reasoning
Semantic Web
Data Integration
Disjoint-set Union Algorithm
Object Equivalence Checking
Attributes Matching
Semantic Web
Ontologies
Logic
Owl
Computer Science
Databases
Statistical Analysis
Uncertainty
Computer Science Education
Educational Programs
Inference Mechanisms
Ontologies (artificial Intelligence)
Pattern Matching
Semantic Web
Uncertainty Handling
Engineering
Heterogeneous Sources