語義支持的地理要素屬性相似性計算模型
發(fā)布時間：2018-10-21 17:31
【摘要】：現(xiàn)勢性是發(fā)揮數(shù)據(jù)應用價值的關鍵。鑒于在地理要素數(shù)據(jù)匹配過程中,常常因為分類標準不同或地圖綜合處理等原因而產生要素屬性間的語義異質性,該文試圖通過引入本體語義技術解決語義異質性問題,利用屬性枚舉的方法表達地理要素類別語義,構建地理要素分類本體結構;同時將地物屬性信息劃分為要素類別信息、地物名稱信息以及輔助信息3個部分,提出了語義支持的地理要素屬性相似性模型。該模型從概念語義內涵的角度計算地理要素類別的相似性;從地物名稱字面出發(fā)計算地物名稱相似度;根據(jù)不同的輔助屬性類型計算輔助屬性相似度。實驗結果表明,同尺度多時態(tài)與跨尺度相同時間版本環(huán)境下,所提出的模型可有效合理地評價候選地物間的屬性相似性,較好地為地理數(shù)據(jù)匹配提供支持。
[Abstract]:The present situation is the key to give full play to the value of data application. In the process of geographic element data matching, semantic heterogeneity among attributes is often caused by different classification standards or map synthesis, so this paper attempts to solve the semantic heterogeneity problem by introducing ontology semantic technology. The method of attribute enumeration is used to express the semantic of geographical element category and to construct the ontology structure of geographical element classification. At the same time, the attribute information of ground object is divided into three parts: element category information, feature name information and auxiliary information. In this paper, a semantic support model of attribute similarity of geographical elements is proposed. The model calculates the similarity of geographical element categories from the perspective of conceptual semantic connotation, calculates the similarity of geographical feature names from the surface names literally, and calculates the similarity of auxiliary attributes according to different auxiliary attribute types. The experimental results show that the proposed model can effectively and reasonably evaluate the attribute similarity between candidate objects under the same scale multi-temporal and cross-scale and the same time version environment, and provide a better support for geographic data matching.
【作者單位】： 東華理工大學測繪工程學院;流域生態(tài)與地理環(huán)境監(jiān)測國家測繪地理信息局重點實驗室;東華理工大學江西省數(shù)字國土重點實驗室;
【基金】：東華理工大學博士啟動基金項目(DHBK2015310);東華理工大學江西省數(shù)字國土重點實驗室開放研究基金資助項目(DLLJ201619) 江西省自然科學基金(20151BAB213030)
【分類號】：P208
本文編號：2285838
[Abstract]:The present situation is the key to give full play to the value of data application. In the process of geographic element data matching, semantic heterogeneity among attributes is often caused by different classification standards or map synthesis, so this paper attempts to solve the semantic heterogeneity problem by introducing ontology semantic technology. The method of attribute enumeration is used to express the semantic of geographical element category and to construct the ontology structure of geographical element classification. At the same time, the attribute information of ground object is divided into three parts: element category information, feature name information and auxiliary information. In this paper, a semantic support model of attribute similarity of geographical elements is proposed. The model calculates the similarity of geographical element categories from the perspective of conceptual semantic connotation, calculates the similarity of geographical feature names from the surface names literally, and calculates the similarity of auxiliary attributes according to different auxiliary attribute types. The experimental results show that the proposed model can effectively and reasonably evaluate the attribute similarity between candidate objects under the same scale multi-temporal and cross-scale and the same time version environment, and provide a better support for geographic data matching.
【作者單位】： 東華理工大學測繪工程學院;流域生態(tài)與地理環(huán)境監(jiān)測國家測繪地理信息局重點實驗室;東華理工大學江西省數(shù)字國土重點實驗室;
【基金】：東華理工大學博士啟動基金項目(DHBK2015310);東華理工大學江西省數(shù)字國土重點實驗室開放研究基金資助項目(DLLJ201619) 江西省自然科學基金(20151BAB213030)
【分類號】：P208
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