本文選題：類(lèi)型本體 + 空間關(guān)系��； 參考：《武漢大學(xué)》2017年碩士論文

【摘要】：隨著地理信息技術(shù)的發(fā)展,海量的空間數(shù)據(jù)井噴式爆發(fā),傳統(tǒng)的數(shù)據(jù)檢索模式已經(jīng)不能滿足人們對(duì)于空間數(shù)據(jù)的查詢需求。例如要定位某個(gè)地址,人們往往是輸入地址名稱來(lái)查詢,如果名稱輸入錯(cuò)誤或者與空間數(shù)據(jù)庫(kù)中的名稱不匹配,通常得不到理想的結(jié)果。格式塔心理學(xué)指出,人們對(duì)于空間的認(rèn)知是由整體到局部的,基于人們對(duì)空間的認(rèn)知過(guò)程和描述習(xí)慣,本文提出了基于空間場(chǎng)景相似性的地址匹配模型。在用戶不知道待查詢地址精確名稱的情況下,通過(guò)對(duì)待查詢地址的空間關(guān)系進(jìn)行描述,就可以檢索到符合空間關(guān)系的地址,再進(jìn)一步的選擇自己要查詢的地址�；诳臻g相似關(guān)系的空間數(shù)據(jù)檢索,更貼近人們描述空間關(guān)系時(shí)的思維模式,對(duì)于未來(lái)空間數(shù)據(jù)智能化檢索具有重要的意義。本文以12315投訴地址快速推薦為目標(biāo),研究了空間場(chǎng)景相似性的特征和計(jì)算方法�？臻g場(chǎng)景特征包括了兩個(gè)方面:空間目標(biāo)特征和空間關(guān)系特征。在研究空間目標(biāo)特征時(shí),本文提出了基于類(lèi)型本體的語(yǔ)義相似度與基于編輯距離的字面相似度相結(jié)合的方法,檢索用戶輸入的地名信息,以解決精確匹配得不到查詢結(jié)果的問(wèn)題�？臻g關(guān)系的相似性計(jì)算,主要涉及了空間方位、拓?fù)浜途嚯x關(guān)系。本文總結(jié)了三種空間關(guān)系的已有相似性計(jì)算方法,提出了本文所采用的空間關(guān)系計(jì)算模型。最后,基于空間目標(biāo)特征和空間關(guān)系的相似性,提出了考慮局部重要性的空間場(chǎng)景相似性計(jì)算模型,并在原型系統(tǒng)中對(duì)該模型進(jìn)行了可行性驗(yàn)證。論文的主要研究工作和成果如下:(1)提出基于類(lèi)型本體的語(yǔ)義相似度與基于編輯距離的字面相似度相結(jié)合的地名匹配模型。針對(duì)12315投訴熱線面臨的地名地址無(wú)法精確匹配的問(wèn)題,本文構(gòu)建了類(lèi)型本體,結(jié)合了字面相似度和類(lèi)型語(yǔ)義相似度,提出了地名地址匹配模型。(2)提出空間關(guān)系相似性計(jì)算方法。本文研究的空間關(guān)系包括方位、拓?fù)浜途嚯x關(guān)系,在已有的空間關(guān)系相似性計(jì)算方法的基礎(chǔ)上,針對(duì)12315投訴熱線的應(yīng)用情景和數(shù)據(jù)特征,提出了本文的空間關(guān)系相似性計(jì)算模型。(3)基于空間目標(biāo)特征與空間關(guān)系,提出了考慮局部重要性的空間場(chǎng)景相似度計(jì)算模型。本文考慮了空間目標(biāo)特征與空間關(guān)系兩個(gè)方面,提出了空間場(chǎng)景相似性的計(jì)算模型。之后又考慮到不同空間目標(biāo)對(duì)空間場(chǎng)景相似性影響的程度可能會(huì)不相同,本文對(duì)空間場(chǎng)景相似性計(jì)算模型進(jìn)行了改進(jìn),允許用戶定義空間目標(biāo)對(duì)空間相似性的影響等級(jí)。(4)原型系統(tǒng)開(kāi)發(fā)。通過(guò)對(duì)1235投訴地址快速定位的需求進(jìn)行分析,本文提出了基于空間場(chǎng)景相似性的地址推薦的解決方案,并開(kāi)發(fā)出原型系統(tǒng),對(duì)本文提出的場(chǎng)景相似性計(jì)算模型的可行性進(jìn)行驗(yàn)證。
[Abstract]:With the development of geographic information technology and the explosion of massive spatial data, the traditional data retrieval mode can not meet the demand of spatial data query. For example, to locate an address, people often enter an address name to query, and if the name is incorrectly typed or does not match the name in the spatial database, the desired result is usually not obtained. Gestalt psychology points out that people's cognition of space is from whole to part. Based on the cognitive process and description habits of space, this paper proposes an address matching model based on spatial scene similarity. If the user does not know the exact name of the address to be queried, by describing the spatial relation of the query address, the address that conforms to the spatial relationship can be retrieved, and the address to be queried is further selected. Spatial data retrieval based on spatial similarity relation is more close to the thinking mode of describing spatial relationship, which is of great significance to intelligent retrieval of spatial data in the future. In this paper, the feature and calculation method of spatial scene similarity are studied with the aim of fast recommendation of 12315 complaint address. Spatial scene feature includes two aspects: spatial target feature and spatial relation feature. When studying spatial target features, this paper proposes a method of combining semantic similarity based on type ontology and literal similarity based on editing distance to retrieve user input toponymic information. In order to solve the problem of accurate matching can not get the results of the query. The similarity calculation of spatial relation mainly involves spatial azimuth, topology and distance relation. In this paper, we summarize the existing similarity calculation methods of three kinds of spatial relations, and propose the model of spatial relation calculation used in this paper. Finally, based on the similarity of spatial target features and spatial relations, a spatial scene similarity calculation model considering local importance is proposed, and the feasibility of the model is verified in the prototype system. The main work and results of this paper are as follows: (1) A toponymic matching model based on semantic similarity based on type ontology and literal similarity based on editing distance is proposed. In order to solve the problem that the location and address of the 12315 complaint hotline can not be accurately matched, this paper constructs the type ontology, combines the literal similarity and the semantic similarity of the type, and puts forward a method to calculate the similarity of the spatial relationship by using the toponymic address matching model. The spatial relationships studied in this paper include azimuth, topology and distance relations. Based on the existing methods for calculating the similarity of spatial relationships, the application scenarios and data features of the 12315 complaint hotline are discussed. Based on the spatial object features and spatial relations, a spatial scene similarity calculation model considering local importance is proposed in this paper. In this paper, two aspects of spatial target feature and spatial relationship are considered, and a spatial scene similarity calculation model is proposed. After that, considering that different spatial targets may have different effects on spatial scene similarity, this paper improves the spatial scene similarity calculation model. Allows the user to define the impact of spatial objects on spatial similarity level. 4) prototype system development. By analyzing the requirement of fast location of 1235 complaint address, this paper puts forward a solution of address recommendation based on spatial scene similarity, and develops a prototype system. The feasibility of the scene similarity calculation model proposed in this paper is verified.
【學(xué)位授予單位】：武漢大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：F203;P208

【相似文獻(xiàn)】

相關(guān)期刊論文 前10條

1 杜世宏;空間關(guān)系模糊描述及組合推理的理論和方法研究[J];測(cè)繪學(xué)報(bào);2005年01期

2 杜世宏;秦其明;王橋;;空間關(guān)系及其應(yīng)用[J];地學(xué)前緣;2006年03期

3 馬林兵;曹小曙;;空間關(guān)系的動(dòng)態(tài)性和模糊性描述[J];地理與地理信息科學(xué);2006年06期

4 胡圣武;王宏濤;;空間關(guān)系的研究進(jìn)展[J];測(cè)繪科學(xué);2007年01期

5 蔡永香;;地圖要素間空間關(guān)系在綜合過(guò)程中的變化規(guī)律研究[J];嘉應(yīng)學(xué)院學(xué)報(bào);2007年03期

6 許s，

本文編號(hào)：2000174