Automated resolution of semantic heterogeneity in multidatabases
ACM Transactions on Database Systems (TODS)
OntoSeek: Content-Based Access to the Web
IEEE Intelligent Systems
Handbook on Ontologies (International Handbooks on Information Systems)
Handbook on Ontologies (International Handbooks on Information Systems)
The Description Logic Handbook
The Description Logic Handbook
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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.