Crowdsourcing-based semantic relation recognition for natural language questions over RDF data |
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Authors: | Xin Hu Jiangli Duan |
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Institution: | 1. College of Information Science and Technology, Beijing Normal University, Beijing, Chinahttps://orcid.org/0000-0002-4258-6746;2. Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China |
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Abstract: | ABSTRACTNatural language query systems over RDF data need to rely on the semantic relations in query. First, we propose the new crowdsourcing model that used to produce semantic relations dataset. The model not only inherits completeness of the iterative model and accuracy of the parallel model, but also saves human resources. Second, we mine the rules of semantic relation recognition from the correlations between dependency structures and semantic relations. Third, we propose an algorithm of semantic relation recognition for natural language query over RDF data, and experiments demonstrate that it can recognize more semantic relations than existing methods. |
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Keywords: | Semantic relation crowdsourcing natural language question answering RDF data mining |
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