计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2009年
15期
190-192
,共3页
邵伟平%郝永平%魏永合%曾鹏飞
邵偉平%郝永平%魏永閤%曾鵬飛
소위평%학영평%위영합%증붕비
产品配置%本体学习%概念%关系
產品配置%本體學習%概唸%關繫
산품배치%본체학습%개념%관계
product configuration%ontology learning%conception%relation
针对大多数本体构建工具只支持手工构建,造成本体构建效率极低、工作量大、容易出错、知识的动态及时更新和维护困难等问题,提出一种领域本体自动构建的框架系统,通过对企业已有数据库及相关领域中大量的知识进行本体学习,实现配置领域本体自动(或半自动)构建,给出不同数据源结构中的本体概念抽取、概念间语义关系抽取等关键技术.
針對大多數本體構建工具隻支持手工構建,造成本體構建效率極低、工作量大、容易齣錯、知識的動態及時更新和維護睏難等問題,提齣一種領域本體自動構建的框架繫統,通過對企業已有數據庫及相關領域中大量的知識進行本體學習,實現配置領域本體自動(或半自動)構建,給齣不同數據源結構中的本體概唸抽取、概唸間語義關繫抽取等關鍵技術.
침대대다수본체구건공구지지지수공구건,조성본체구건효솔겁저、공작량대、용역출착、지식적동태급시경신화유호곤난등문제,제출일충영역본체자동구건적광가계통,통과대기업이유수거고급상관영역중대량적지식진행본체학습,실현배치영역본체자동(혹반자동)구건,급출불동수거원결구중적본체개념추취、개념간어의관계추취등관건기술.
Most ontology building tools only support manual building ontology, which results in low efficiencies, highly workloads and many mistakes etc, And it is very difficult for knowledge updating and maintenance in time. In order to resolve the problem, a framework system of domain ontology automatic construction is proposed. Through ontology learning by using existed enterprise database and vast interrelated domain knowledge in Website, product configuration domain ontology is established. Key technologies of ontology learning are discussed such as domain concepts extraction and semantic relationships between concepts extraction in different data sources structures.