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Definition and Extraction of Causal Relations for Question-Answering on Fault-Diagnosis of Electronic Devices  

Lee, Sheen-Mok (한국과학기술원 전산학과)
Shin, Ji-Ae (한국정보통신대학교 공학부)
Publication Information
Journal of KIISE:Software and Applications / v.35, no.5, 2008 , pp. 335-346 More about this Journal
Abstract
Causal relations in ontology should be defined based on the inference types necessary to solve problems specific to application as well as domain. In this paper, we present a model to define and extract causal relations for application ontology for Question-Answering (QA) on fault-diagnosis of electronic devices. Causal categories are defined by analyzing generic patterns of QA application; the relations between concepts in the corpus belonging to the causal categories are defined as causal relations. Instances of casual relations are extracted using lexical patterns in the concept definitions of domain, and extended incrementally with information from thesaurus. On the evaluation by domain specialists, our model shows precision of 92.3% in classification of relations and precision of 80.7% in identifying causal relations at the extraction phase.
Keywords
causal relation; application ontology; diagnostic QA; relation extraction; relation definition; causal inference;
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