Application of shallow semantic analysis and SPARQL in question answering system
Junjie Chen · Computer Engineering and Applications Journal · 2011
To solve the problem of the answer extraction of restricted-domain question answering system,a question answering system model based on shallow semantic parsing is presented.A natural language interface is provided,the ontology of the hospital information is utilized and shallow semantic parsing technology is applied in the model.According to the rules of the definition and determination of semantic chunk,the question vector is firstly generated,then SPARQL query technology is utilized,the answer is obtained by querying in the ontology.The experiments proves that it is feasible to use the method to develop a question answering system,it is valuable for further study in more depth.