Schema based indexing for namespace mapping of raw sparql and summarization of lod

Abstract

Linked open data(LOD) in Semantic Web is growing day by day. There are datasets available that can be used in different application. However, identifying useful dataset from cloud, determining the quality and obtaining inductive information from dataset are all tasks that require to be addressed. The more traffic on LOD increases, the more difficult it will become to identify useful dataset. The reason behind this problem is that there is no useful summary available about datasets. While querying any dataset through endpoint, The most cumbersome part is remembering URIs for resources. There is no known interface that provides URIs for the user terms. There are some standard available for providing summary and metadata about datasets. But till now no standard is available that is universally accepted. Index structure proposed in this thesis gives a schema level information about any dataset and provides URI information for dataset. This index structure has been successfully implemented on local dataset server and remote dataset server in this thesis.