本文選題：引文分析　切入點：網(wǎng)絡(luò)爬蟲　出處：《中南大學(xué)》2013年碩士論文

【摘要】：學(xué)術(shù)界常通過文獻被引用情況衡量論文與作者的影響力,傳統(tǒng)的搜索引擎提供的檢索服務(wù)不能跟蹤用戶信息,學(xué)者需要定期搜索來了解個人發(fā)表文獻的被引用情況,引文服務(wù)的出現(xiàn)即是為了滿足這一需求。但目前的引文服務(wù)系統(tǒng)多針對某一個或某幾個文獻庫進行檢索,用戶往往需要同時使用多個引文服務(wù)系統(tǒng)才能獲得較全面的信息,且所采集的信息不具有優(yōu)先級區(qū)分,用戶需要進行繁瑣的甄別工作,才能獲得具有針對性的信息；引文服務(wù)系統(tǒng)的優(yōu)化升級問題亟待解決。 本文針對引文服務(wù)系統(tǒng)存在的問題,設(shè)計出了個人文獻服務(wù)的綜合解決框架,按照框架實現(xiàn)了個人文獻服務(wù)平臺,由文獻采集、文獻排序、數(shù)據(jù)持久、文獻跟蹤和更新等模塊組成；并對個人文獻服務(wù)平臺進行了測試。本文的研究內(nèi)容為： 首先,設(shè)計開發(fā)了主題網(wǎng)絡(luò)爬蟲,對不同文獻數(shù)據(jù)庫進行了整合抓取,擴展了不同文獻資源庫的采集范圍。同時,為了提高成果確認的工作效率,提出了基于潛在語義分析的文獻排序算法,實現(xiàn)按相關(guān)性進行文獻排序,有效地減少了文獻誤采。最后,對優(yōu)化系統(tǒng)提供了數(shù)據(jù)層支持,包括相關(guān)文獻數(shù)據(jù)的更新與維護等,進而實現(xiàn)了整個個人文獻服務(wù)平臺。測試結(jié)果說明,本文提出的個人文獻服務(wù)平臺能夠?qū)崿F(xiàn)預(yù)期功能,可以有效提供文獻引用信息采集、更新和維護等服務(wù)。圖22副,表4個,參考文獻60篇。
[Abstract]:Academic circles often measure the influence of papers and authors through the citation of documents. Traditional search engines can not track user information. Scholars need to search regularly to understand the citations of individual published documents.Citation services are available to meet this need.However, most of the current citation service systems search for one or several document libraries. Users often need to use multiple citation service systems simultaneously to obtain more comprehensive information, and the information collected does not have priority.Users need to carry out tedious screening work to obtain targeted information, and the optimization and upgrading of citation service system need to be solved.Aiming at the problems of citation service system, this paper designs a comprehensive solution framework of personal document service. According to the framework, a personal document service platform is implemented, which is collected by documents, sorted by documents, and sustained by data.The module of document tracking and updating is made up, and the personal document service platform is tested.The contents of this thesis are as follows:Firstly, the theme web crawler is designed and developed, and the collection range of different document resource database is expanded.At the same time, in order to improve the efficiency of literature validation, a document sorting algorithm based on latent semantic analysis is proposed, which can sort documents according to correlation, and effectively reduce document miscollection.Finally, it provides the data layer support for the optimization system, including the update and maintenance of the related literature data, and then realizes the whole personal document service platform.The test results show that the personal document service platform proposed in this paper can achieve the expected function, and can effectively provide information collection, update and maintenance services.There are 22 pairs of figs, 4 tables and 60 references.
【學(xué)位授予單位】：中南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP391.3

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本文編號：1725303