Title :
An adaptable Question-Answer System using match of multi-sphere knowledge
Author :
Kim, Su-Kyoung ; Ahn, Ki-Hong ; Choi, Ho-Jin
Author_Institution :
Sch. of Eng., Korea Inf. & Commun. Univ., Daejeon
Abstract :
For a performance enhancement of the current a QAS(Question-Answer System) and web search, the adaptable semantic decision is important which support expression of natural language and meaning of a input sentence about UIDD(User Information Demand Description) is a difficult situation natural language and adaptable semantic decision in a sentence up to now. For overcome these problems, a various research was attempted that decided for search result about UIDD based on information retrieval model, and a lot of a QAS and search engine like Google applied which was currently proposed, but it is difficult to provide the retrieval results that determine flexibly a similarity of meaning. Therefore, this study, match knowledge which use the semantic inference rule which expressed knowledge in multi-sphere knowledge, and inferenced knowledge combine with n-ary representation-based ontology by weight, then determine various semantic similarity about a vocabulary in UIDD. As decide on semantic similarity, we propose an approach which presented a most adaptable answer that input a question to a QAS. And a proposed approach-based, we implement a QAS which service a prescription regarding a symptom and inform a foot reflective point to user. An experiment result of implement system, determine adaptable to a semantic similarity of a vocabulary regarding input query sentence, and show a stable query result, and a proposal approach demonstrated that we were effective.
Keywords :
Internet; information retrieval systems; natural languages; ontologies (artificial intelligence); query processing; search engines; Web search; adaptable question-answer system; adaptable semantic decision; foot reflective point; information retrieval model; input query sentence; multisphere knowledge; n-ary representation-based ontology; natural language; search engine; user information demand description; Foot; Information retrieval; Intelligent networks; Knowledge engineering; Natural languages; Ontologies; Proposals; Search engines; Vocabulary; Web search;
Conference_Titel :
Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on
Conference_Location :
Phoenix Park
Print_ISBN :
978-89-5519-138-7
Electronic_ISBN :
1738-9445