计算机应用
計算機應用
계산궤응용
COMPUTER APPLICATION
2010年
2期
415-418
,共4页
本体%自动答疑系统%知识表示%问题分类%答案抽取
本體%自動答疑繫統%知識錶示%問題分類%答案抽取
본체%자동답의계통%지식표시%문제분류%답안추취
ontology%automatic question answering system%knowledge representation%question classification%answer extraction
针对现有自动答疑系统中知识表示的不足,提出了用本体构建课程领域知识库的方案.根据答疑问句的特点进行了问题分类,将用户问句意图转换为对本体中基本元素的查询,并通过Jena语句加以实现,最终抽取出答案,实验证明方案是可行的.
針對現有自動答疑繫統中知識錶示的不足,提齣瞭用本體構建課程領域知識庫的方案.根據答疑問句的特點進行瞭問題分類,將用戶問句意圖轉換為對本體中基本元素的查詢,併通過Jena語句加以實現,最終抽取齣答案,實驗證明方案是可行的.
침대현유자동답의계통중지식표시적불족,제출료용본체구건과정영역지식고적방안.근거답의문구적특점진행료문제분류,장용호문구의도전환위대본체중기본원소적사순,병통과Jena어구가이실현,최종추취출답안,실험증명방안시가행적.
An approach to constructing course knowledge base with ontology was proposed to overcome the deficiency of knowledge representation in the existing automatic question answering system. Questions were classified according to their traits. The intention of a question was transformed into the query of basic elements in ontology, and was implemented via Jena statements, and the answer was extracted finally. The proposed approach is proved by experiments.