Title :
A schema matching approach for structured data fusion
Author :
Dursun, B. ; Obali, M.
Author_Institution :
Bilicim Mudurlugu, Tubitak, Ankara, Turkey
Abstract :
Joint picture and fusion of data that is acquired from different data sources is a complex and difficult process. One of the basic approaches in data fusion or data integration is schema matching. In contrast doing schema matching manually in many applications, it takes long time and many matching elements and situations are missed. It is very important to make schema matching automatically, since many systems can be fused and joint picture can be constructed right and fast. In this study, we propose a schema matching approach on structured data and we applied this approach on databases of an enterprise.
Keywords :
data handling; sensor fusion; data integration; schema matching method; structured data fusion; Conferences; Data integration; Data models; Databases; Joints; Reactive power; Signal processing; data consolidation; data fusion; data integration; schema matching; similarity;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830321