Title :
Web-based question answering system for restricted domain based of integrating method using semantic information
Author :
Hu, Haiqing ; Jiang, Peilin ; Ren, Fuji ; Kuroiwa, Shingo
Author_Institution :
Dept. of Inf. Sci. & Intelligent Syst., Tokushima Univ., Japan
fDate :
30 Oct.-1 Nov. 2005
Abstract :
In this paper, we propose the construction of a Web-based question answering(QA) system for restricted domain that combined three resource information databases for the retrieval mechanism, including a question & answer database, a special domain documents database and a Web resource retrieved by Google search engine. We describe a new retrieval technique of integrating a probabilistic technique based on OkapiBM25 and a semantic analysis based on an ontology of HowNet knowledge base and a special domain HowNet created for the restricted domain. Furthermore, we provide a method of question expansion by computing word semantic similarity. The system is first developed for a middlesized domain of sightseeing information. The experiments proved the efficiency of our method for restricted domain and it is feasible to transfer to other domains expediently using the proposed method.
Keywords :
Internet; information retrieval; ontologies (artificial intelligence); search engines; Google search engine; HowNet knowledge base; OkapiBM25; Web-based question answering system; ontology; probabilistic technique; resource information database; restricted domain; retrieval mechanism; semantic information analysis; special domain document database; Data engineering; Data mining; Deductive databases; Information retrieval; Information science; Intelligent systems; Ontologies; Search engines; Weather forecasting; World Wide Web;
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on
Print_ISBN :
0-7803-9361-9
DOI :
10.1109/NLPKE.2005.1598794