东南大学学报(英文版)
東南大學學報(英文版)
동남대학학보(영문판)
JOURNAL OF SOUTHEAST UNIVERSITY
2007年
3期
338-342
,共5页
杨先娣%何宁%吴黎兵%刘君强
楊先娣%何寧%吳黎兵%劉君彊
양선제%하저%오려병%류군강
信息集成%语义异构%本体%本体映射
信息集成%語義異構%本體%本體映射
신식집성%어의이구%본체%본체영사
information integration%semantic heterogeneity%ontology%ontology mapping
针对信息集成中的语义异构问题,提出了一个基于本体的语义信息集成模型OSII,并给出了逻辑框架.OSII采用混和本体方式建模,以OWL描述本体,通过局部本体与全局本体之间的映射获得多源统一视图.提出了一种基于树结构的多策略本体映射算法,该算法包含4个步骤,即预处理,名称映射,子树映射和映射矫正.其特点在于:按照数据类型分类进行映射,并采用启发式规则,提高映射效率;同时考虑概念的语言相似性和结构相似性,提高相似度计算的准确性;采用迭代矫正,最终得到正确而完整的映射对.通过一个挑战性的实例说明了算法的有效性.OSII能很好地解决信息集成中的语义异构难点,实现多信息源之间的互操作.
針對信息集成中的語義異構問題,提齣瞭一箇基于本體的語義信息集成模型OSII,併給齣瞭邏輯框架.OSII採用混和本體方式建模,以OWL描述本體,通過跼部本體與全跼本體之間的映射穫得多源統一視圖.提齣瞭一種基于樹結構的多策略本體映射算法,該算法包含4箇步驟,即預處理,名稱映射,子樹映射和映射矯正.其特點在于:按照數據類型分類進行映射,併採用啟髮式規則,提高映射效率;同時攷慮概唸的語言相似性和結構相似性,提高相似度計算的準確性;採用迭代矯正,最終得到正確而完整的映射對.通過一箇挑戰性的實例說明瞭算法的有效性.OSII能很好地解決信息集成中的語義異構難點,實現多信息源之間的互操作.
침대신식집성중적어의이구문제,제출료일개기우본체적어의신식집성모형OSII,병급출료라집광가.OSII채용혼화본체방식건모,이OWL묘술본체,통과국부본체여전국본체지간적영사획득다원통일시도.제출료일충기우수결구적다책략본체영사산법,해산법포함4개보취,즉예처리,명칭영사,자수영사화영사교정.기특점재우:안조수거류형분류진행영사,병채용계발식규칙,제고영사효솔;동시고필개념적어언상사성화결구상사성,제고상사도계산적준학성;채용질대교정,최종득도정학이완정적영사대.통과일개도전성적실례설명료산법적유효성.OSII능흔호지해결신식집성중적어의이구난점,실현다신식원지간적호조작.
In order to solve the problem of semantic heterogeneity in information integration,an ontology based semantic information integration (OSII) model and its logical framework are proposed.The OSII adopts the hybrid ontology approach and uses OWL (web ontology language) as the ontology language.It obtains unified views from multiple sources by building mappings between local ontologies and the global ontology.A tree-based multi-strategy ontology mapping algorithm is proposed.The algorithm is achieved by the following four steps:pre-processing,name mapping,subtree mapping and remedy mapping.The advantages of this algorithm are:mapping in the compatible datatype categories and using heuristic rules can improve mapping efficiency;both linguistic and structural similarity are used to improve the accuracy of the similarity calculation;an iterative remedy is adopted to obtain correct and complete mappings.A challenging example is used to illustrate the validity of the algorithm.The OSII is realized to effectively solve the problem of semantic heterogeneity in information integration and to implement interoperability of multiple information sources.