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Title:      RULE BASED PREDICATE PIVOT SPARQL TEMPLATE
Author(s):      Dewi Wisnu Wardani, Josef Küng
ISBN:      978-989-8533-56-2
Editors:      Hans Weghorn
Year:      2016
Edition:      Single
Keywords:      Weighted AP-RDF, SPARQL, template, predicate pivot
Type:      Full Paper
First Page:      91
Last Page:      98
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      We propose the predicate pivot template (PPT) approach to generate SPARQL from natural language query (NLQ). Our approach combines a rule-based approach for mapping the intention of a question and weighted an attributed predicate RDF (AP-RDF) to measure the importance of each element over a focused snippet dataset. Both approaches are based on the augmentation role of predicates. The rule based emphasize that the intention of a question is determined by predicates. Weighted AP-RDF is initiated by measuring the weight of predicates, further the weight of predicates influence the weight of subjectivity and objectivity of resources. Measuring weighted AP-RDF is chosen locally because the important issue is a question dependent process. The experiments show that PPT approach is a promising approach comparing the other approaches.
   

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