本文選題：本體構建　切入點：關系數(shù)據(jù)庫　出處：《河北工業(yè)大學》2014年碩士論文　論文類型：學位論文

【摘要】：本體是語義Web的核心部分，使得萬維網(wǎng)能被計算機更容易理解。然而如今大部分數(shù)據(jù)均以關系數(shù)據(jù)庫的方式存儲，還沒有以本體語言的形式發(fā)布，而且數(shù)據(jù)比較分散，因此在語義Web背景下如何利用現(xiàn)有存儲在關系數(shù)據(jù)庫中的數(shù)據(jù)是一個非常重要的研究方向。本體構建和本體映射則是其中關鍵技術之一。 本文在閱讀大量參考文獻，掌握國內(nèi)外研究動態(tài)的基礎上，完成科學效應庫從關系數(shù)據(jù)庫到本體庫的轉換，并提出了本體映射規(guī)則與方法。論文主要工作如下： 1．完成科學效應本體庫的構建：分析了當前CAI軟件中科學效應庫結構，深刻解析基于關系數(shù)據(jù)庫的本體構建方法，并提出適合該數(shù)據(jù)源的方法。該方法概括：關系模式提取、信息進行分析、映射規(guī)則、構建本體、語義標注、本體進行檢驗和修改。 2．研究科學知識本體異構映射方法：針對科學效應轉換后形成的多個異構本體庫，提出了在本體映射中運用最小風險模型方法計算概念相似度方法及決策樹算法，解決異構問題，實現(xiàn)了多個異構本題庫的融合。 3．科學知識平臺設計與搭建：以上兩部分是對科學知識本體關鍵技術，提出了適合該數(shù)據(jù)源的方法，，本平臺部分是設計本體構建和本體映射為基礎的、向上提供服務的體系結構。提供的服務包括功能及其效應搜索、效應可視化展示、效應動態(tài)編輯、基于功能的效應瀏覽等功能。
[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.
【學位授予單位】：河北工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP393.09

【參考文獻】

相關期刊論文 前2條

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2 唐杰;梁邦勇;李涓子;王克宏;;語義Web中的本體自動映射[J];計算機學報;2006年11期

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