本文選題：本體構(gòu)建　切入點(diǎn)：關(guān)系數(shù)據(jù)庫(kù)　出處：《河北工業(yè)大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：本體是語(yǔ)義Web的核心部分，使得萬(wàn)維網(wǎng)能被計(jì)算機(jī)更容易理解。然而如今大部分?jǐn)?shù)據(jù)均以關(guān)系數(shù)據(jù)庫(kù)的方式存儲(chǔ)，還沒(méi)有以本體語(yǔ)言的形式發(fā)布，而且數(shù)據(jù)比較分散，因此在語(yǔ)義Web背景下如何利用現(xiàn)有存儲(chǔ)在關(guān)系數(shù)據(jù)庫(kù)中的數(shù)據(jù)是一個(gè)非常重要的研究方向。本體構(gòu)建和本體映射則是其中關(guān)鍵技術(shù)之一。 本文在閱讀大量參考文獻(xiàn)，掌握國(guó)內(nèi)外研究動(dòng)態(tài)的基礎(chǔ)上，完成科學(xué)效應(yīng)庫(kù)從關(guān)系數(shù)據(jù)庫(kù)到本體庫(kù)的轉(zhuǎn)換，并提出了本體映射規(guī)則與方法。論文主要工作如下： 1．完成科學(xué)效應(yīng)本體庫(kù)的構(gòu)建：分析了當(dāng)前CAI軟件中科學(xué)效應(yīng)庫(kù)結(jié)構(gòu)，深刻解析基于關(guān)系數(shù)據(jù)庫(kù)的本體構(gòu)建方法，并提出適合該數(shù)據(jù)源的方法。該方法概括：關(guān)系模式提取、信息進(jìn)行分析、映射規(guī)則、構(gòu)建本體、語(yǔ)義標(biāo)注、本體進(jìn)行檢驗(yàn)和修改。 2．研究科學(xué)知識(shí)本體異構(gòu)映射方法：針對(duì)科學(xué)效應(yīng)轉(zhuǎn)換后形成的多個(gè)異構(gòu)本體庫(kù)，提出了在本體映射中運(yùn)用最小風(fēng)險(xiǎn)模型方法計(jì)算概念相似度方法及決策樹算法，解決異構(gòu)問(wèn)題，實(shí)現(xiàn)了多個(gè)異構(gòu)本題庫(kù)的融合。 3．科學(xué)知識(shí)平臺(tái)設(shè)計(jì)與搭建：以上兩部分是對(duì)科學(xué)知識(shí)本體關(guān)鍵技術(shù)，提出了適合該數(shù)據(jù)源的方法，，本平臺(tái)部分是設(shè)計(jì)本體構(gòu)建和本體映射為基礎(chǔ)的、向上提供服務(wù)的體系結(jié)構(gòu)。提供的服務(wù)包括功能及其效應(yīng)搜索、效應(yīng)可視化展示、效應(yīng)動(dòng)態(tài)編輯、基于功能的效應(yīng)瀏覽等功能。
[Abstract]:Ontology is the core part of the semantic Web, which makes it easier for computers to understand the World wide Web. However, most of the data are stored in relational databases and are not published in ontology language, and the data is scattered. Therefore, how to utilize the existing data stored in relational database in the context of semantic Web is a very important research direction, and ontology construction and ontology mapping is one of the key technologies. On the basis of reading a large number of references and mastering the research trends at home and abroad, this paper completes the transformation of the scientific effect database from relational database to ontology database, and puts forward the rules and methods of ontology mapping. The main work of this paper is as follows:. 1. Complete the construction of the scientific effect ontology library: the structure of the scientific effect database in the current CAI software is analyzed, the ontology construction method based on the relational database is deeply analyzed, and the method suitable for the data source is put forward. Information analysis, mapping rules, building ontology, semantic annotation, ontology verification and modification. 2. Research on heterogeneous mapping method of scientific knowledge ontology: aiming at many heterogeneous ontology databases formed after the transformation of scientific effects, a method of computing conceptual similarity and decision tree algorithm using minimum risk model method in ontology mapping is proposed. In order to solve the problem of heterogeneity, the fusion of multiple isomerism question banks is realized. 3. The design and construction of scientific knowledge platform: the above two parts are about the key technology of scientific knowledge ontology, and put forward the method suitable for the data source. The platform part is based on the design ontology construction and ontology mapping. The services provided include function and its effect search, effect visualization display, effect dynamic editing, function based effect browsing and so on.
【學(xué)位授予單位】：河北工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.09

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 李善平,尹奇椺,胡玉杰,郭鳴,付相君;本體論研究綜述[J];計(jì)算機(jī)研究與發(fā)展;2004年07期

2 唐杰;梁邦勇;李涓子;王克宏;;語(yǔ)義Web中的本體自動(dòng)映射[J];計(jì)算機(jī)學(xué)報(bào);2006年11期

本文編號(hào)：1563801