本文選題：地理信息 + 公共服務(wù)平臺(tái)�。� 參考：《南京師范大學(xué)》2013年碩士論文

【摘要】：地名是人們賦予某一特定區(qū)域范圍的地理實(shí)體的一種語言文字代號(hào),同時(shí)也是用以區(qū)別另一特定地理實(shí)體的一種語言文字標(biāo)識(shí)。地名信息是最常用的一類公共信息,不僅與人們的日常生活息息相關(guān),而且是國(guó)家行政管理,經(jīng)濟(jì)建設(shè),國(guó)內(nèi)外交往不可或缺的基礎(chǔ)信息資源。由于地名信息既包含了文本的屬性信息,也蘊(yùn)涵了豐富的時(shí)空信息,因此成為了連接空間信息與非空間信息的重要媒介,并在國(guó)內(nèi)“數(shù)字城市”的地理信息公共服務(wù)平臺(tái)的建設(shè)中發(fā)揮著日益重要的作用。 隨著地理信息公共服務(wù)平臺(tái)建設(shè)的逐步深入及應(yīng)用規(guī)模的急劇加速,平臺(tái)中與地名相關(guān)的各類地理信息資源類型多樣且日益龐雜。針對(duì)當(dāng)前公共服務(wù)平臺(tái)普遍利用傳統(tǒng)空間查詢查找地名所面臨的檢索效率低下、匹配精度不高、檢索結(jié)果信息量有限的方法問題,本文在深入分析地理信息公共服務(wù)平臺(tái)地名分類和傳統(tǒng)地名查找方法缺陷問題的基礎(chǔ)上,提出了基于領(lǐng)域特征詞和Lucene的地理信息公共服務(wù)平臺(tái)地名信息檢索方法,并在對(duì)浙江省地理空間數(shù)據(jù)交換和共享平臺(tái)的數(shù)據(jù)實(shí)驗(yàn)基礎(chǔ)上,對(duì)方法進(jìn)行了檢索質(zhì)量和效率的驗(yàn)證。 本文主要的研究?jī)?nèi)容和成果包括以下幾個(gè)方面： (1)地名領(lǐng)域特征詞與索引的管理方法研究 針對(duì)本文提出的平臺(tái)多源地名的含義與分類體系,研究基于信息熵的高頻詞統(tǒng)計(jì)方法,結(jié)合人工篩選,構(gòu)建領(lǐng)域特征詞庫(kù)及相應(yīng)管理方法；研究基于Lucene的平臺(tái)多級(jí)地名全文索引構(gòu)建、維護(hù)方法。 (2)基于Lucene和領(lǐng)域特征詞的地名檢索與排序方法研究 研究基于Lucene和領(lǐng)域特征詞的地名檢索方法實(shí)現(xiàn)的技術(shù)框架。利用特征詞庫(kù)進(jìn)行分詞解析,研究面向特征詞庫(kù)的查詢表達(dá)式解析方法；研究根據(jù)文本相關(guān)性和地理相關(guān)性構(gòu)成綜合評(píng)價(jià)指標(biāo)對(duì)地名信息檢索結(jié)果進(jìn)行排序優(yōu)化。 (3)地名信息檢索原型設(shè)計(jì)和方法驗(yàn)證 以浙江省地理空間數(shù)據(jù)交換和共享平臺(tái)中的地理空間數(shù)據(jù)作為實(shí)驗(yàn)對(duì)象,設(shè)計(jì)基于本文提出的領(lǐng)域特征詞和Lucene的地名信息檢索原型系統(tǒng)。通過SQL模糊查詢和Oracle全文索引兩種在地理信息公共服務(wù)平臺(tái)中常用的地名檢索方法進(jìn)行對(duì)比分析,驗(yàn)證本文提出的地名信息檢索方法的有效性。
[Abstract]:The place name is a kind of language and character code that people assign to a geographical entity in a certain area, and it is also a kind of language and character mark used to distinguish another geographical entity. Toponymic information is the most commonly used kind of public information, which is not only closely related to people's daily life, but also an indispensable basic information resource for national administration, economic construction and communication at home and abroad. Because the toponymic information not only contains the attribute information of the text, but also contains abundant space-time information, it becomes an important medium to connect the spatial information with the non-spatial information. And it plays an increasingly important role in the construction of the public service platform of geographic information in the domestic "digital city". With the gradual deepening of the construction of geographical information public service platform and the rapid acceleration of its application scale, all kinds of geographical information resources related to geographical names in the platform are diverse and increasingly complex. In view of the problems of low retrieval efficiency, low matching accuracy and limited amount of information in the search results, the public service platform generally uses traditional spatial query to find place names, which is characterized by low retrieval efficiency, low matching accuracy, and limited information content. Based on the in-depth analysis of geographical names classification and traditional toponymic search methods of geographical information public service platform, this paper puts forward a geographical information retrieval method based on domain feature words and Lucene. The retrieval quality and efficiency of the method are verified on the basis of the data exchange and sharing platform in Zhejiang Province. The main contents and achievements of this paper include the following aspects: 1) the research on the management method of feature words and indexes in the field of geographical names the meaning and classification system of the platform multi-source place names put forward in this paper. This paper studies the statistical method of high-frequency words based on information entropy, constructs domain feature thesaurus and corresponding management method, and studies the full-text index construction of multi-level geographical names based on Lucene platform. Maintenance method. Research on the method of place name Retrieval and sorting based on Lucene and Domain feature words; the technical framework of the realization of geographical name retrieval method based on Lucene and domain feature words. Using the feature lexicon to parse the word segmentation, the query expression parsing method for the feature dictionary is studied. This paper studies the ranking and optimization of toponymic information retrieval results according to the comprehensive evaluation index of text relevance and geographical relevance. The prototype Design and method Verification of toponymic Information Retrieval in Zhejiang Province Geospatial data in a spatial data exchange and sharing platform is used as an experimental object. A toponymic information retrieval prototype system based on domain feature and Lucene is designed. Through the comparison and analysis of two common geographical names retrieval methods, SQL fuzzy query and Oracle full-text index, the effectiveness of the toponymic information retrieval method proposed in this paper is verified.
【學(xué)位授予單位】：南京師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：P281;P208

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