A Multilayer Method of Schema Matching Based on Semantic and Functional Dependencies
- Resource Type
- Conference
- Authors
- Zhao, Chenlu; Shen, Derong; Kou, Yue; Nie, Tiezheng; Yu, Ge
- Source
- 2012 Ninth Web Information Systems and Applications Conference Web Information Systems and Applications Conference (WISA), 2012 Ninth. :223-228 Nov, 2012
- Subject
- Computing and Processing
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Semantics
Films
Databases
Probabilistic logic
Algorithm design and analysis
Nonhomogeneous media
Motion pictures
WordNet
functional dependency
probabilistic factor
schema matching
- Language
Determing matching schemas enables queries on heterogeneous data space to be formulated and facilitates data integration. Current schema matching techniques most focus on mining mappings using elements' own information. This paper proposes to introduce semantic and functional dependencies into matching process to achieve multilayer schema matching results. It calculates semantic similarity with the help of Word Net and generates candidate mapping sets. By introducing functional dependency to formulize structural information, it can get structural similarities between element pairs. A probabilistic factor is considered to select mapping pairs. Through experimental evaluation on real data, the superiority of our method is verified.