Abstract
Semantic web and ontology are the key technologies of Question Answering system. Ontology is becoming the pivotal methodology to represent domain-specific conceptual knowledge in order to promote the semantic capability of a QA system. In this paper we present a QA system in which the domain knowledge is represented by means of Ontology. In addition, a Chinese Natural Language human-machine interface is implemented mainly through a NL parser in this system. An initial evaluation result shows the feasibility to build such a semantic QA system based on Ontology, the effectivity of personalized semantic QA, the extensibility of ontology and knowledge base, and the possibility of self-produced knowledge based on semantic relations in the ontology.And experiments do prove that it is feasible to use the method to develop a QA System, which is valuable for further study in more depth.
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Guo, Q., Zhang, M. (2008). Question Answering System Based on Ontology and Semantic Web. In: Wang, G., Li, T., Grzymala-Busse, J.W., Miao, D., Skowron, A., Yao, Y. (eds) Rough Sets and Knowledge Technology. RSKT 2008. Lecture Notes in Computer Science(), vol 5009. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79721-0_87
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DOI: https://doi.org/10.1007/978-3-540-79721-0_87
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