测绘学报
測繪學報
측회학보
Acta Geodaetica et Cartographica Sinica
2015年
9期
1029-1035,1062
,共8页
苗立志%胥婕%周亚%程文超
苗立誌%胥婕%週亞%程文超
묘립지%서첩%주아%정문초
粗糙集理论%词汇约简%地理信息服务%地理本体%语义推理
粗糙集理論%詞彙約簡%地理信息服務%地理本體%語義推理
조조집이론%사회약간%지리신식복무%지리본체%어의추리
rough set theory%vocabulary reduction%geographic information services%geographic ontology%semantic reasoning
针对 OGC地理信息服务在地理空间知识的有效组织和表达方面的能力比较弱,缺乏对服务信息的描述,数据丰富而知识缺乏,致使已有的数据在知识的表示和检索上存在缺陷,通过引入地理本体,按照基础地理信息要素分类,对地理信息服务的关键描述词汇进行提取,构建了地理信息服务本体库和实例数据库,应用粗糙集理论建立关键描述词汇约简模型,基于该模型实现了对地理信息服务实例数据库进行知识约简,形成最优实例数据库。最后应用地理信息服务本体库和实例数据库,基于演绎推理模型开发实例原型系统,实现了对地理信息服务对象的语义检索和推理,并通过试验从查全率和查准率两个指标验证了该方法的可行性、有效性和准确性。
針對 OGC地理信息服務在地理空間知識的有效組織和錶達方麵的能力比較弱,缺乏對服務信息的描述,數據豐富而知識缺乏,緻使已有的數據在知識的錶示和檢索上存在缺陷,通過引入地理本體,按照基礎地理信息要素分類,對地理信息服務的關鍵描述詞彙進行提取,構建瞭地理信息服務本體庫和實例數據庫,應用粗糙集理論建立關鍵描述詞彙約簡模型,基于該模型實現瞭對地理信息服務實例數據庫進行知識約簡,形成最優實例數據庫。最後應用地理信息服務本體庫和實例數據庫,基于縯繹推理模型開髮實例原型繫統,實現瞭對地理信息服務對象的語義檢索和推理,併通過試驗從查全率和查準率兩箇指標驗證瞭該方法的可行性、有效性和準確性。
침대 OGC지리신식복무재지리공간지식적유효조직화표체방면적능력비교약,결핍대복무신식적묘술,수거봉부이지식결핍,치사이유적수거재지식적표시화검색상존재결함,통과인입지리본체,안조기출지리신식요소분류,대지리신식복무적관건묘술사회진행제취,구건료지리신식복무본체고화실례수거고,응용조조집이론건립관건묘술사회약간모형,기우해모형실현료대지리신식복무실례수거고진행지식약간,형성최우실례수거고。최후응용지리신식복무본체고화실례수거고,기우연역추리모형개발실례원형계통,실현료대지리신식복무대상적어의검색화추리,병통과시험종사전솔화사준솔량개지표험증료해방법적가행성、유효성화준학성。
As geographic information interoperability and sharing developing,more and more interoperable OGC (open geospatial consortium)Web services (OWS)are generated and published through the internet. These services can facilitate the integration of different scientific applications by searching,finding,and utilizing the large number of scientific data and Web services.However,these services are widely dispersed and hard to be found and utilized with executive semantic retrieval.This is especially true when considering the weak semantic description of geographic information service data.Focusing on semantic retrieval and reasoning of the distributed OWS resources,a deductive and semantic reasoning method is proposed to describe and search relevant OWS resources.Specifically,①description words are extracted from OWS metadata file to generate GISe ontology-database and instance-database based on geographic ontology according to basic geographic elements category,②a description words reduction model is put forward to implement knowledge reduction on GISe instance-database based on rough set theory and gen-erate optimized instances database,③utilizing GISe ontology-database and optimized instance-database to implement semantic inference and reasoning of geographic searching objects is used as an example to demonstrate the efficiency,feasibility and recall ration of the proposed description-word-based reduction model.