HPL ALGORITHM FOR SEMANTIC INFORMATION RETRIEVAL WITH RDF AND SPARQL
As the web composed with lots of unstructured data, retrieving the accurate information for the user's posed query from it is a critical issue. Most of the search engines are fails to achieve the accurate outcomes for the users. In order to overcome this and to obtain efficient results, SPARQL query language is used to convert users’ posed natural language queries to machine understandable format. Semantic web technology based on SPARQL is used to acquire useful information from the RDF knowledge base, which gives beneficial information to the user. In this paper, HPL algorithm is effectively utilized to aware of querying the semantic web. It also makes use of Linked Open Data Quality Assessment (LODQA) system to perform a semantic search that converts normal user defined queries into machine understandable formal logic. By combining both these systems, the interpretation of a natural language query into SPARQL queries is made easy that grabs knowledge from ontological database that are stored in Resource Description Framework. Accordingly, technologies and data storage possibilities are analyzed and evaluated to retrieve accurate results and a test case for the career opportunities for students.
PRATHYUSHA KANAKAM, S. MAHABOOB HUSSAIN AND D. SURYANARAYANA