Abstract
2 Abstract: Social Networking System is one of the most popular Internet applications. This paper presents an online information service model based on Social Networking Systems. Knowledge management of information extraction from Social Networking System through WCF Service demonstrates an effective and efficient technique for extract online information from staff members profile based on Social Networking System and automatically embeds that information in an education institution website through WCF, which can make the college database more light and accurate. The data mining in SNS profiles is done through K-means Clustering. A case study based on FACE KUTTER, a practice SNS for staff members of an education institution is implemented. The performance of FACE KUTTER is compared with other widely used Social Networking Systems.
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