本文關(guān)鍵詞：基于本體的矢量數(shù)據(jù)一致性檢查研究　出處：《浙江大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 本體 本體規(guī)則 本體集成 矢量數(shù)據(jù) 一致性 多源空間數(shù)據(jù)

【摘要】：空間數(shù)據(jù)的一致性作為空間數(shù)據(jù)質(zhì)量評價的重要指標(biāo),在空間數(shù)據(jù)入庫前進(jìn)行數(shù)據(jù)一致性檢查是空間數(shù)據(jù)生產(chǎn)和更新中的重要步驟。其中,矢量數(shù)據(jù)一致性檢查是空間數(shù)據(jù)一致性檢查和處理中的重要組成部分。目前,國內(nèi)外對于矢量數(shù)據(jù)的一致性檢查研究中,大多集中在空間拓?fù)湟恢滦苑矫娴臋z查,而對于語義層次的一致性檢查研究較少;傳統(tǒng)的矢量數(shù)據(jù)一致性檢查大多是從數(shù)據(jù)本身出發(fā),很少利用外部參考數(shù)據(jù)進(jìn)行一致性檢查。外部參考數(shù)據(jù)與待檢查的目標(biāo)數(shù)據(jù)往往是多源的,與外部參考數(shù)據(jù)的一致性研究就是多源數(shù)據(jù)間的一致性研究。因此,本文選取現(xiàn)勢性好質(zhì)量高的相關(guān)專題矢量數(shù)據(jù)作為待檢查數(shù)據(jù)的參考數(shù)據(jù),結(jié)合本體強(qiáng)大的語義表達(dá)能力和本體規(guī)則的邏輯推理能力,從單一矢量數(shù)據(jù)一致性和多源矢量數(shù)據(jù)間一致性兩個方面分別進(jìn)行檢查,提出一種基于本體的矢量數(shù)據(jù)一致性檢查方法,主要研究內(nèi)容有:(1)探討單一矢量數(shù)據(jù)一致性約束和多源矢量數(shù)據(jù)一致性約束的內(nèi)容,提出通過參考數(shù)據(jù)預(yù)處理和本體集成來消除多源數(shù)據(jù)間異構(gòu)問題的可實施性,并指出異構(gòu)問題的解決是多源數(shù)據(jù)間一致性檢查的前提。(2)研究了本體規(guī)則的表達(dá)和推理。針對一致性檢查的目的,提出一種使用本體規(guī)則來進(jìn)行一致性檢查的流程和方法。(3)研究了多源空間數(shù)據(jù)間異質(zhì)問題的解決方法,結(jié)合現(xiàn)有的研究成果,對具體步驟進(jìn)行詳細(xì)闡述。提出了參考數(shù)據(jù)選擇的準(zhǔn)則和一種應(yīng)用本體的構(gòu)建方法。(4)實驗設(shè)計與實現(xiàn)。將上述基于本體的矢量數(shù)據(jù)一致性檢查的方法流程應(yīng)用于土地利用現(xiàn)狀數(shù)據(jù)一致性檢查中,驗證方法的有效性。
[Abstract]:Spatial data consistency is an important indicator to evaluate the quality of spatial data, the spatial data storage before the data consistency check is an important step in the production and updating of spatial data. The vector data consistency check is an important part of spatial data consistency check and processing. At present, domestic and foreign research on consistency check the vector data, mostly concentrated in the space topological consistency check for semantic consistency check of vector data consistency check; most of the traditional starting from the data itself, rarely using external reference data consistency check. The external reference data and the target data to be examined are often multiple the consistency of the research and Research on the consistency of external reference data is multi-source data. Therefore, this paper selects the current good high quality is designed The vector data as the reference data to check the data, logic and reasoning with ontology strong semantic expression ability and ontology rules, from a single vector data consistency and multi-source vector data consistency between the two aspects of inspection, proposed a vector data consistency check method based on ontology, the main contents are: (1) to investigate the single vector data consistency constraint and multi vector data consistency constraint is proposed through the implementation of the content, reference data preprocessing and ontology integration to eliminate the problem of heterogeneous multi-source data, and pointed out that to solve the problem of heterogeneous multi-source data is consistent between the premise of the examination. (2) expression and reasoning research ontology rules. For the purpose of consistency check, put forward the process and method of a consistency check using the ontology rules. (3) research of multi-source spatial data between different The solution quality problems, combined with existing research results, elaborated on the specific steps. Put forward a method to construct the reference data selection criteria and an application ontology. (4) and implementation of experimental design. The method of process application consistency check vector data based on Ontology in the current land use data consistency check and verify the validity of the method.

【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：P208

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