Natural language analysis for semantic document modeling
Data & Knowledge Engineering
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
The TREC question answering track
Natural Language Engineering
A new statistical parser based on bigram lexical dependencies
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Mining Multiple Data Sources: Local Pattern Analysis
Data Mining and Knowledge Discovery
The Description Logic Handbook
The Description Logic Handbook
A proposal of expected answer type and named entity annotation in a question answering context
HSI'09 Proceedings of the 2nd conference on Human System Interactions
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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.