本文選題：關(guān)聯(lián)數(shù)據(jù) + 語義網(wǎng)��； 參考：《北京化工大學(xué)》2014年碩士論文

【摘要】：伴隨網(wǎng)絡(luò)信息技術(shù)的持續(xù)發(fā)展,世界范圍內(nèi)數(shù)字博物館建設(shè)也保持著蓬勃發(fā)展的良好勢頭。而博物館長久以來存在的各自為政的管理模式,給博物館領(lǐng)域相關(guān)數(shù)據(jù)資源實現(xiàn)對外開放分享和資源整合帶來了挑戰(zhàn)。關(guān)聯(lián)數(shù)據(jù)作為語義網(wǎng)技術(shù)的研究分支,為網(wǎng)絡(luò)上發(fā)布和整合相關(guān)信息資源提供了一種有效手段。但是當(dāng)前的關(guān)聯(lián)數(shù)據(jù)在語義融合方面的研究仍存在關(guān)聯(lián)鏈接的構(gòu)建嚴(yán)重不足、關(guān)聯(lián)類型有限、關(guān)聯(lián)鏈接發(fā)布質(zhì)量缺乏有效的控制機制等問題,因此開展基于關(guān)聯(lián)數(shù)據(jù)的數(shù)字博物館語義融合研究具有一定的理論意義和實踐價值。 本文從當(dāng)前博物館領(lǐng)域數(shù)據(jù)信息共享中存在的問題出發(fā),對基于關(guān)聯(lián)數(shù)據(jù)技術(shù)的語義融合進行了相關(guān)研究和實踐。首先,本文在進行關(guān)聯(lián)數(shù)據(jù)技術(shù)體系和基于關(guān)聯(lián)數(shù)據(jù)的語義融合策略的理論研究的基礎(chǔ)上,給出了一個基于關(guān)聯(lián)數(shù)據(jù)的語義融合方法和適用模型�；陉P(guān)聯(lián)數(shù)據(jù)的語義融合方法通過關(guān)聯(lián)性檢測、概念特征模型獲取、知識發(fā)現(xiàn)與關(guān)聯(lián)構(gòu)建等過程,旨在關(guān)聯(lián)數(shù)據(jù)集間構(gòu)建正確率較高的語義關(guān)聯(lián),并提供用戶界面支持關(guān)聯(lián)鏈接的質(zhì)量審查以保證關(guān)聯(lián)數(shù)據(jù)的發(fā)布質(zhì)量�；陉P(guān)聯(lián)數(shù)據(jù)的語義融合模型分為數(shù)據(jù)層、領(lǐng)域本體層、元數(shù)據(jù)語義化層和應(yīng)用服務(wù)層,其中元數(shù)據(jù)語義化又分為初始語義化和語義擴展兩個子層。其次,開發(fā)了一個基于關(guān)聯(lián)數(shù)據(jù)的數(shù)字博物館語義融合平臺,該平臺分為領(lǐng)域資源層、語義融合層、關(guān)聯(lián)數(shù)據(jù)網(wǎng)絡(luò)層和應(yīng)用服務(wù)層四個層次,目標(biāo)是通過語義融合的方式對博物館領(lǐng)域及其相關(guān)數(shù)據(jù)資源予以關(guān)聯(lián)和整合。最后,通過實驗分別對本文給出的方法和模型框架進行有效性驗證和語義融合效果評價。 實驗表明,本文給出的基于關(guān)聯(lián)數(shù)據(jù)的語義融合方法可以在博物館數(shù)據(jù)集和外部數(shù)據(jù)集間構(gòu)建七種語義關(guān)聯(lián),通過平臺可視化界能夠面對相關(guān)信息進行關(guān)聯(lián)訪問,具有較好的語義融合效果。
[Abstract]:With the continuous development of network information technology, the construction of digital museum in the world also keeps a good momentum of vigorous development. For a long time, the museum has its own management mode, which brings challenges to the opening up and integration of the related data resources in the museum field. As a branch of semantic Web technology, relational data provides an effective means to publish and integrate related information resources on the web. However, there are still some problems in the research of semantic fusion of association data, such as the construction of association link, the limited association type, the lack of effective control mechanism for the quality of association link publication, and so on. Therefore, the research on semantic fusion of digital museum based on associated data has certain theoretical significance and practical value. Based on the problems existing in the information sharing in the museum domain, this paper studies and practices the semantic fusion based on the association data technology. Firstly, on the basis of the theoretical research on the technology system of association data and the strategy of semantic fusion based on associated data, a semantic fusion method based on associated data and a suitable model are presented in this paper. The semantic fusion method based on association data is designed to construct semantic association with high accuracy among association data sets through the process of association detection, concept feature model acquisition, knowledge discovery and association construction. A user interface is provided to support quality review of associated links to ensure the quality of associated data release. The semantic fusion model based on association data is divided into data layer, domain ontology layer, metadata semantic layer and application service layer, in which metadata semantics is divided into two sub-layers: initial semantic layer and semantic extension layer. Secondly, a digital museum semantic fusion platform based on associated data is developed. The platform is divided into four layers: domain resource layer, semantic fusion layer, associated data network layer and application service layer. The goal is to associate and integrate the museum domain and its related data resources through semantic fusion. Finally, the validity of the proposed method and the model framework are validated and the semantic fusion effect is evaluated by experiments. Experiments show that the semantic fusion method based on association data can construct seven kinds of semantic associations between museum data set and external data set. It has good semantic fusion effect.
【學(xué)位授予單位】：北京化工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP393.4

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