IJICIS, Vol.16 No. 4 OCTOBER 2016 99 A PROPOSED FRAMEWORK FOR THE INTEGRATION OF E-GOVERNMENT DATA AND SERVICES Sirwan S. Abdullah, Amira Rezk, Sherif Barakat Department of Information System, Faculty of Computer and Information Sciences, Mansoura University, Egypt mamo.saber@yahoo.com, amira_rezk@mans.edu.eg, sheiib@mans.edu.eg Abstract According to the Population, overcrowded, and required governmental services growth, require an improvement of system and data services, because of the spatial information increase, sharing, issuing and dissecting plays a more essential part. One-stop open administrations and single window frameworks are essential objectives of numerous e-government activities. Instructions to encourage the specialized and information interoperability among the frameworks in diverse government organizations is a key of meeting these objectives. While numerous product principles, there are many techniques used to integrate government for Web Services like XML, OWL, UBL, CCTS, RDF and Jason have been used to address the integration and interoperability between diverse government, the information interoperability and integration issue stays to be a major test. The data integration and interoperability concern how distinctive gatherings concur on what data to trade, and the definition and representation of such data. To address this issue, XML (eXtensible Markup Language) Schema Design and Management Guide has been discharged and additionally the Registry of Data Standards under its e-Government Interoperability Framework activity. The aim of this work is to improve accessibility and connectivity of governmental services for citizens and by means of creating integrated scenarios and providing guidance to users while following this scenario. Keywords: Service Integration, Data Integration, e-government, interoperability 1. Introduction The overflowing of the web and trade data have created to expand the requirement for a typical information design. Today, many different organizations are going to be integrated and enable data exchange between them. Data exchange is principle concept to complete the service execution, interpolation and portability. Such operations have many different challenges that were addressed in many researches before. Challenges include different data management systems, schema structures, data types, constrains, semantics and much more. In case, data are not integrated perfectly, the world will have extreme big data with enough noise like duplications, missing values, inconsistent, and structure and semantics conflicts rather much more. These reasons offered ascend to the requirement for a profoundly institutionalized normal information position for information trade and incorporating between heterogeneous applications and frameworks [Error! Reference source not found.], are the