• Aayushi A. Shah
• Dhatri Pandya

In the modern era of technology and innovation, Data is generated and transferred in a large amount. Data can be proper or improper. Proper data means the data which is original and non-duplicated. This type of data rarely exists. Improper data can be thought of as duplicated data or redundant data which are of no use for processing or transferring. The reason is such data leads to hazardous problem and can give unwanted results. Data needs to be preprocessed or cleansed before its usage. The preprocessing involves detecting the quality of data and removing redundancy if exits. Such redundancies can be removed using coreferent or duplicate detection techniques available in Service Oriented Programming (SOA). SOA mainly deals with web services, protocols and distributed environment. The most important language which is used for SOA is Extensible Markup Language (XML). Although, XML allows exchange and publication of data on Web, there are obvious chances of inconsistencies and errors in data. Hence, there is a need for XML data cleansing. In this paper, different coreferent detection techniques i n XML schema are studied and compared. The useful feature based parameters are also discussed.

Service Oriented Programming, XML Schema, Coreferent Detection, Data Duplication.

"A Review on Coreference Detection in Xml Schema", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.7-12, July-2018, Available :http://www.jetir.org/papers/JETIRC006308.pdf

"A Review on Coreference Detection in Xml Schema", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp7-12, July-2018, Available at : http://www.jetir.org/papers/JETIRC006308.pdf