Title :
Metadata matching based on Bayesian network in DataSpace
Author :
Sun, Darning ; Ma, Anxiang ; Zhang, Bin ; Gao, Kening ; Zhang, Yin
Author_Institution :
Coll. of Inf. & Eng., Northeastern Univ., Shenyang, China
Abstract :
The concept of Dataspace was proposed as a new data management paradigm to help unify the diverse efforts on flexible schema, data cleaning, and data integration being pursued by the database community. The heart of Dataspace is “pay-as-you-go” philosophy, which provides Best-Efforts service and brings more convenience to data management. To elevate the service quality, extracting the matching between metadata becomes a crucial problem, while the uncertainty of Dataspace hinders the metadata matching. This paper introduces the Bayesian network model to extract metadata matching, solves the problem of uncertainty by probability reasoning, and can complete the missing metadata as well. The method well suits the circumstance of restrict model nodes and well structured consequence of node.
Keywords :
belief networks; data handling; inference mechanisms; meta data; Bayesian network; Best-Efforts service; DataSpace; data cleaning; data integration; data management; database community; metadata matching; probability reasoning; Bayesian methods; Computer networks; Data mining; Data structures; Decision making; Decision trees; Heart; Machine learning; Ontologies; Uncertainty; Bayesian network; Dataspace; Metadata Matching; uncertainty;
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
DOI :
10.1109/ICCDA.2010.5541029
