Abstract:
Typical Linked Data Query Execution (LDQE) approaches do not take into consideration the availability of backlinks, resulting in an incomplete set of query results. In th...Show MoreMetadata
Abstract:
Typical Linked Data Query Execution (LDQE) approaches do not take into consideration the availability of backlinks, resulting in an incomplete set of query results. In this paper, we provide a detailed discussion of existing techniques for query processing over LD and propose a framework for LDQE based on backlinks, which can yield missing interlinking information for a given LD SPARQL query. The proposed approach is hybrid in nature, an index is maintained for storing information of backlinks which are extracted from a simulated LD cloud. These backlinks are then classified into a number of classes. Additionally, live exploration is performed using link traversal technique for retrieving more URIs over the Web of LD.
Published in: 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom)
Date of Conference: 16-18 March 2016
Date Added to IEEE Xplore: 31 October 2016
ISBN Information:
Conference Location: New Delhi, India