基于語(yǔ)義的專業(yè)文獻(xiàn)學(xué)習(xí)系統(tǒng)研究與實(shí)現(xiàn).rar
基于語(yǔ)義的專業(yè)文獻(xiàn)學(xué)習(xí)系統(tǒng)研究與實(shí)現(xiàn),2.8萬(wàn)字47頁(yè)包括開題報(bào)告和任務(wù)書摘要文獻(xiàn)學(xué)習(xí)是整個(gè)學(xué)習(xí)過(guò)程中的一個(gè)重要環(huán)節(jié)，在進(jìn)一步深造學(xué)習(xí)中更是不可或缺的。注重文獻(xiàn)學(xué)習(xí)，不僅可以少走彎路，鞏固專業(yè)知識(shí)，而且還可以結(jié)合前輩的經(jīng)驗(yàn)在一定程度上進(jìn)行創(chuàng)新。并且，最前沿的理論也都是在文獻(xiàn)中體現(xiàn)的。所以，準(zhǔn)確快速找到所需要的專業(yè)文獻(xiàn)可以...
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基于語(yǔ)義的專業(yè)文獻(xiàn)學(xué)習(xí)系統(tǒng)研究與實(shí)現(xiàn)
2.8萬(wàn)字 47頁(yè)
包括開題報(bào)告和任務(wù)書
摘要
文獻(xiàn)學(xué)習(xí)是整個(gè)學(xué)習(xí)過(guò)程中的一個(gè)重要環(huán)節(jié)，在進(jìn)一步深造學(xué)習(xí)中更是不可或缺的。注重文獻(xiàn)學(xué)習(xí)，不僅可以少走彎路，鞏固專業(yè)知識(shí)，而且還可以結(jié)合前輩的經(jīng)驗(yàn)在一定程度上進(jìn)行創(chuàng)新。并且，最前沿的理論也都是在文獻(xiàn)中體現(xiàn)的。所以，準(zhǔn)確快速找到所需要的專業(yè)文獻(xiàn)可以提高學(xué)習(xí)效率和提升專業(yè)素養(yǎng)。但是目前的文獻(xiàn)檢索基本是通過(guò)文字語(yǔ)法匹配和全文檢索技術(shù)來(lái)實(shí)現(xiàn)的，檢索的結(jié)果會(huì)出現(xiàn)漏檢或不相關(guān)文獻(xiàn)，學(xué)習(xí)者花費(fèi)大量時(shí)間來(lái)檢索還有可能找不到所需的文獻(xiàn)。
本文通過(guò)對(duì)語(yǔ)義萬(wàn)維網(wǎng)結(jié)構(gòu)的分析、本體知識(shí)的學(xué)習(xí)以及RDF的研究，提出基于語(yǔ)義的專業(yè)文獻(xiàn)學(xué)習(xí)系統(tǒng)框架。該框架旨在提取專業(yè)文獻(xiàn)的語(yǔ)義信息，將專業(yè)文獻(xiàn)分類管理，實(shí)現(xiàn)對(duì)專業(yè)文獻(xiàn)的語(yǔ)義分析，賦予查詢系統(tǒng)足夠的語(yǔ)義信息，以解決當(dāng)前文獻(xiàn)檢索系統(tǒng)中同義詞難以識(shí)別、相關(guān)查找困難等問(wèn)題，便于進(jìn)一步學(xué)習(xí)和交流。
文獻(xiàn)的元數(shù)據(jù)描述、領(lǐng)域本體的構(gòu)建及RDF語(yǔ)義查詢是本文研究的重點(diǎn)，也是進(jìn)行語(yǔ)義檢索的理論基礎(chǔ)。首先，本文針對(duì)專業(yè)文獻(xiàn)結(jié)構(gòu)和學(xué)習(xí)者檢索中所關(guān)心的主要內(nèi)容，建立了文獻(xiàn)的元數(shù)據(jù)庫(kù)，然后通過(guò)對(duì)知識(shí)結(jié)構(gòu)和特征的分析，針對(duì)計(jì)算機(jī)網(wǎng)絡(luò)課程的領(lǐng)域知識(shí)，構(gòu)建了一個(gè)領(lǐng)域本體。通過(guò)領(lǐng)域本體與元數(shù)據(jù)之間的映射關(guān)系將知識(shí)點(diǎn)與具體的文獻(xiàn)聯(lián)系起來(lái)，得到相關(guān)的知識(shí)結(jié)構(gòu)，然后添加領(lǐng)域資源的RDF描述，通過(guò)RDF的描述方法和蘊(yùn)涵規(guī)則進(jìn)行有限形式的推理。
最后開發(fā)了一個(gè)基于語(yǔ)義的專業(yè)文獻(xiàn)學(xué)習(xí)實(shí)驗(yàn)系統(tǒng)。該系統(tǒng)以計(jì)算機(jī)網(wǎng)絡(luò)領(lǐng)域的知識(shí)和學(xué)習(xí)資源為檢索對(duì)象，嘗試解決查詢中同義詞無(wú)法識(shí)別，相關(guān)信息查找困難等問(wèn)題。實(shí)驗(yàn)證明了該框架信息資源的語(yǔ)義信息得到充分的體現(xiàn)以及語(yǔ)義檢索策略的可行性。
關(guān)鍵詞：語(yǔ)義萬(wàn)維網(wǎng)，本體，資源描述框架，語(yǔ)義檢索，元數(shù)據(jù)
Research and Realization on Semantic Based Specialized Literatures Learning System
Abstract
The literature study is important in an entire study process, and also indispensable in the further study. To attention literature study, not only walk little tortuous path, consolidated specialized knowledge, moreover also unify senior's experience to carry on the innovation in the certain degree. And, the most front theories are also manifested in the literature. Therefore, the specialized literatures which are found quickly and accurately may enhance the study efficiency and promote specialized accomplishment. But nowadays literature retrieval is basic on matching grammar and full text retrieval technology. The result is not satisfied to learners. It takes lots of time to search articles, but maybe they are not in need.
This paper proposes the framework of specialized literature study system through analyzing the semantic web structure, studying ontology knowledge, and researching RDF inference technology. The purpose of the framework is to withdraw the semantic information of the specialized literature, and to manage the specialized literature classification of files. It realizes semantic analysis of specialized literature and gives the inquiry system enough semantic information to solve problems that current literature retrieval system is difficult to distinguish the synonym words and search correlation information and so on, in order to study further and communicate each other.
The keynotes of this article are metadata description for literature, subject ontology creation, RDF semantic retrieval. They are also the theory bases of semantic retrieval. Firstly, according to the structure of specialized literatures and main content which students care for, we build the metadata database for literatures. Then after analyzing knowledge structure and characteristics, we build a subject ontology which is directed against the subject knowledge of computer network course. According to representation relationship between the field ontology and metadata, the specialized literature can related to its subject knowledge feature and obtain knowledge structure. And then add the semantic description about resources by RDF, it support some limited inference according to RDF description method and entailment rules.
We have developed a specialized literature study system on computer network field based on semantic. This system tries to solve problems that ordinary systems can not do, such as identify synonyms, relative retrieval. The result of experimentation proves that this retrieval framework makes semantic of specialized literatures sufficiently emerged and the good feasibility of search strategy.
Key Word：Semantic Web, Ontology, RDF, Semantic Retrieval, Metadata
目錄
1. 緒論 1
1.1 研究背景及目的 1
1.2 國(guó)內(nèi)外研究現(xiàn)狀 2
1.3 本文主要工作 3
2. 語(yǔ)義萬(wàn)維網(wǎng) 4
2.1 語(yǔ)義web技術(shù) 4
2.1.1 語(yǔ)義web概念 4
2.1.2 語(yǔ)義web結(jié)構(gòu) 5
2.1.3 語(yǔ)義web的基礎(chǔ)和核心 10
2.2 Ontology的定義和內(nèi)涵 11
2.3 元數(shù)據(jù) 13
2.3.1 元數(shù)據(jù)概念 13
2.3.2 學(xué)習(xí)對(duì)象元數(shù)據(jù)標(biāo)準(zhǔn) 14
2.3.3 元數(shù)據(jù)結(jié)構(gòu) 15
2.4 資源描述框架(RDF) 15
2.4.1 RDF概述 15
2.4.2 RDF與XML 16
2.4.3 RDF特性 18
3. 語(yǔ)義檢索 20
3.1 搜索引擎發(fā)展趨勢(shì) 20
3.2 語(yǔ)義檢索的實(shí)現(xiàn)思路和方法 21
3.3 工具介紹 22
3.3.1 建立本體工具Protégé 22
3.3.2 Jena在語(yǔ)義檢索中的作用 23
4. 系統(tǒng)設(shè)計(jì) 26
4.1 需求分析 26
4.2 設(shè)計(jì)目標(biāo) 27
4.3 開發(fā)工具與平臺(tái) 27
4.4 總體設(shè)計(jì) 27
4.4.1 系統(tǒng)流程 27
4.4.2 設(shè)計(jì)擬用途徑 28
4.4.3 領(lǐng)域本體 29
4.4.4 領(lǐng)域規(guī)則庫(kù) 30
4.4.5 解析推理 31
4.5 系統(tǒng)實(shí)現(xiàn) 33
4.5.1 系統(tǒng)界面 33
4.5.2 實(shí)驗(yàn)結(jié)果 34
5. 結(jié)論與展望 35
5.1 結(jié)論 35
5.2 展望 35
致謝 37
參考文獻(xiàn) 38
圖表目錄
圖 2 1語(yǔ)義web層次結(jié)構(gòu) 6
圖 2 2專業(yè)文獻(xiàn)元數(shù)據(jù)結(jié)構(gòu) 15
圖 2 3一個(gè)描述Eric Miller的RDF圖 16
圖 3 1基于語(yǔ)義web的語(yǔ)義檢索的實(shí)現(xiàn)機(jī)理 22
圖 3 2 Jena各組成部分在語(yǔ)義檢索中的作用 24
圖 4 1需求分析用例圖 26
圖 4 2系統(tǒng)流程圖 28
圖 4 3 Protégé工具創(chuàng)建工程 29
圖 4 4 Protégé工具操作界面 30
圖 4 5規(guī)則庫(kù)類圖 31
圖 4 6完成一次推理操作的時(shí)序圖 32
圖 4 7后臺(tái)類設(shè)計(jì)圖 33
圖 4 8 查詢頁(yè)面 33
圖 4 9查詢結(jié)果 34
參考文獻(xiàn)
[1] 張志平，張慶來(lái).語(yǔ)義Web服務(wù)研究進(jìn)展[J].情報(bào)學(xué)報(bào),2006,25(4):462-467.
[2] 楊建林.基于本體的文本信息檢索研究[J].情報(bào)理論與實(shí)踐,2006,29(5):598-601.
[3] 竇玉萌,王孟龍.面向語(yǔ)義Web的搜索引擎構(gòu)想[J].情報(bào)探索,2006,(7):56-58.
[4] 尹皎,鄭軍.Ontology在語(yǔ)義信息檢索中的使用[J].農(nóng)業(yè)圖書情報(bào)學(xué)刊
附錄
表1 學(xué)習(xí)對(duì)象元數(shù)據(jù)元素集
表2《基礎(chǔ)教育教學(xué)資源元數(shù)據(jù)規(guī)范》核心元數(shù)據(jù)集
2.8萬(wàn)字 47頁(yè)
包括開題報(bào)告和任務(wù)書
摘要
文獻(xiàn)學(xué)習(xí)是整個(gè)學(xué)習(xí)過(guò)程中的一個(gè)重要環(huán)節(jié)，在進(jìn)一步深造學(xué)習(xí)中更是不可或缺的。注重文獻(xiàn)學(xué)習(xí)，不僅可以少走彎路，鞏固專業(yè)知識(shí)，而且還可以結(jié)合前輩的經(jīng)驗(yàn)在一定程度上進(jìn)行創(chuàng)新。并且，最前沿的理論也都是在文獻(xiàn)中體現(xiàn)的。所以，準(zhǔn)確快速找到所需要的專業(yè)文獻(xiàn)可以提高學(xué)習(xí)效率和提升專業(yè)素養(yǎng)。但是目前的文獻(xiàn)檢索基本是通過(guò)文字語(yǔ)法匹配和全文檢索技術(shù)來(lái)實(shí)現(xiàn)的，檢索的結(jié)果會(huì)出現(xiàn)漏檢或不相關(guān)文獻(xiàn)，學(xué)習(xí)者花費(fèi)大量時(shí)間來(lái)檢索還有可能找不到所需的文獻(xiàn)。
本文通過(guò)對(duì)語(yǔ)義萬(wàn)維網(wǎng)結(jié)構(gòu)的分析、本體知識(shí)的學(xué)習(xí)以及RDF的研究，提出基于語(yǔ)義的專業(yè)文獻(xiàn)學(xué)習(xí)系統(tǒng)框架。該框架旨在提取專業(yè)文獻(xiàn)的語(yǔ)義信息，將專業(yè)文獻(xiàn)分類管理，實(shí)現(xiàn)對(duì)專業(yè)文獻(xiàn)的語(yǔ)義分析，賦予查詢系統(tǒng)足夠的語(yǔ)義信息，以解決當(dāng)前文獻(xiàn)檢索系統(tǒng)中同義詞難以識(shí)別、相關(guān)查找困難等問(wèn)題，便于進(jìn)一步學(xué)習(xí)和交流。
文獻(xiàn)的元數(shù)據(jù)描述、領(lǐng)域本體的構(gòu)建及RDF語(yǔ)義查詢是本文研究的重點(diǎn)，也是進(jìn)行語(yǔ)義檢索的理論基礎(chǔ)。首先，本文針對(duì)專業(yè)文獻(xiàn)結(jié)構(gòu)和學(xué)習(xí)者檢索中所關(guān)心的主要內(nèi)容，建立了文獻(xiàn)的元數(shù)據(jù)庫(kù)，然后通過(guò)對(duì)知識(shí)結(jié)構(gòu)和特征的分析，針對(duì)計(jì)算機(jī)網(wǎng)絡(luò)課程的領(lǐng)域知識(shí)，構(gòu)建了一個(gè)領(lǐng)域本體。通過(guò)領(lǐng)域本體與元數(shù)據(jù)之間的映射關(guān)系將知識(shí)點(diǎn)與具體的文獻(xiàn)聯(lián)系起來(lái)，得到相關(guān)的知識(shí)結(jié)構(gòu)，然后添加領(lǐng)域資源的RDF描述，通過(guò)RDF的描述方法和蘊(yùn)涵規(guī)則進(jìn)行有限形式的推理。
最后開發(fā)了一個(gè)基于語(yǔ)義的專業(yè)文獻(xiàn)學(xué)習(xí)實(shí)驗(yàn)系統(tǒng)。該系統(tǒng)以計(jì)算機(jī)網(wǎng)絡(luò)領(lǐng)域的知識(shí)和學(xué)習(xí)資源為檢索對(duì)象，嘗試解決查詢中同義詞無(wú)法識(shí)別，相關(guān)信息查找困難等問(wèn)題。實(shí)驗(yàn)證明了該框架信息資源的語(yǔ)義信息得到充分的體現(xiàn)以及語(yǔ)義檢索策略的可行性。
關(guān)鍵詞：語(yǔ)義萬(wàn)維網(wǎng)，本體，資源描述框架，語(yǔ)義檢索，元數(shù)據(jù)
Research and Realization on Semantic Based Specialized Literatures Learning System
Abstract
The literature study is important in an entire study process, and also indispensable in the further study. To attention literature study, not only walk little tortuous path, consolidated specialized knowledge, moreover also unify senior's experience to carry on the innovation in the certain degree. And, the most front theories are also manifested in the literature. Therefore, the specialized literatures which are found quickly and accurately may enhance the study efficiency and promote specialized accomplishment. But nowadays literature retrieval is basic on matching grammar and full text retrieval technology. The result is not satisfied to learners. It takes lots of time to search articles, but maybe they are not in need.
This paper proposes the framework of specialized literature study system through analyzing the semantic web structure, studying ontology knowledge, and researching RDF inference technology. The purpose of the framework is to withdraw the semantic information of the specialized literature, and to manage the specialized literature classification of files. It realizes semantic analysis of specialized literature and gives the inquiry system enough semantic information to solve problems that current literature retrieval system is difficult to distinguish the synonym words and search correlation information and so on, in order to study further and communicate each other.
The keynotes of this article are metadata description for literature, subject ontology creation, RDF semantic retrieval. They are also the theory bases of semantic retrieval. Firstly, according to the structure of specialized literatures and main content which students care for, we build the metadata database for literatures. Then after analyzing knowledge structure and characteristics, we build a subject ontology which is directed against the subject knowledge of computer network course. According to representation relationship between the field ontology and metadata, the specialized literature can related to its subject knowledge feature and obtain knowledge structure. And then add the semantic description about resources by RDF, it support some limited inference according to RDF description method and entailment rules.
We have developed a specialized literature study system on computer network field based on semantic. This system tries to solve problems that ordinary systems can not do, such as identify synonyms, relative retrieval. The result of experimentation proves that this retrieval framework makes semantic of specialized literatures sufficiently emerged and the good feasibility of search strategy.
Key Word：Semantic Web, Ontology, RDF, Semantic Retrieval, Metadata
目錄
1. 緒論 1
1.1 研究背景及目的 1
1.2 國(guó)內(nèi)外研究現(xiàn)狀 2
1.3 本文主要工作 3
2. 語(yǔ)義萬(wàn)維網(wǎng) 4
2.1 語(yǔ)義web技術(shù) 4
2.1.1 語(yǔ)義web概念 4
2.1.2 語(yǔ)義web結(jié)構(gòu) 5
2.1.3 語(yǔ)義web的基礎(chǔ)和核心 10
2.2 Ontology的定義和內(nèi)涵 11
2.3 元數(shù)據(jù) 13
2.3.1 元數(shù)據(jù)概念 13
2.3.2 學(xué)習(xí)對(duì)象元數(shù)據(jù)標(biāo)準(zhǔn) 14
2.3.3 元數(shù)據(jù)結(jié)構(gòu) 15
2.4 資源描述框架(RDF) 15
2.4.1 RDF概述 15
2.4.2 RDF與XML 16
2.4.3 RDF特性 18
3. 語(yǔ)義檢索 20
3.1 搜索引擎發(fā)展趨勢(shì) 20
3.2 語(yǔ)義檢索的實(shí)現(xiàn)思路和方法 21
3.3 工具介紹 22
3.3.1 建立本體工具Protégé 22
3.3.2 Jena在語(yǔ)義檢索中的作用 23
4. 系統(tǒng)設(shè)計(jì) 26
4.1 需求分析 26
4.2 設(shè)計(jì)目標(biāo) 27
4.3 開發(fā)工具與平臺(tái) 27
4.4 總體設(shè)計(jì) 27
4.4.1 系統(tǒng)流程 27
4.4.2 設(shè)計(jì)擬用途徑 28
4.4.3 領(lǐng)域本體 29
4.4.4 領(lǐng)域規(guī)則庫(kù) 30
4.4.5 解析推理 31
4.5 系統(tǒng)實(shí)現(xiàn) 33
4.5.1 系統(tǒng)界面 33
4.5.2 實(shí)驗(yàn)結(jié)果 34
5. 結(jié)論與展望 35
5.1 結(jié)論 35
5.2 展望 35
致謝 37
參考文獻(xiàn) 38
圖表目錄
圖 2 1語(yǔ)義web層次結(jié)構(gòu) 6
圖 2 2專業(yè)文獻(xiàn)元數(shù)據(jù)結(jié)構(gòu) 15
圖 2 3一個(gè)描述Eric Miller的RDF圖 16
圖 3 1基于語(yǔ)義web的語(yǔ)義檢索的實(shí)現(xiàn)機(jī)理 22
圖 3 2 Jena各組成部分在語(yǔ)義檢索中的作用 24
圖 4 1需求分析用例圖 26
圖 4 2系統(tǒng)流程圖 28
圖 4 3 Protégé工具創(chuàng)建工程 29
圖 4 4 Protégé工具操作界面 30
圖 4 5規(guī)則庫(kù)類圖 31
圖 4 6完成一次推理操作的時(shí)序圖 32
圖 4 7后臺(tái)類設(shè)計(jì)圖 33
圖 4 8 查詢頁(yè)面 33
圖 4 9查詢結(jié)果 34
參考文獻(xiàn)
[1] 張志平，張慶來(lái).語(yǔ)義Web服務(wù)研究進(jìn)展[J].情報(bào)學(xué)報(bào),2006,25(4):462-467.
[2] 楊建林.基于本體的文本信息檢索研究[J].情報(bào)理論與實(shí)踐,2006,29(5):598-601.
[3] 竇玉萌,王孟龍.面向語(yǔ)義Web的搜索引擎構(gòu)想[J].情報(bào)探索,2006,(7):56-58.
[4] 尹皎,鄭軍.Ontology在語(yǔ)義信息檢索中的使用[J].農(nóng)業(yè)圖書情報(bào)學(xué)刊
附錄
表1 學(xué)習(xí)對(duì)象元數(shù)據(jù)元素集
表2《基礎(chǔ)教育教學(xué)資源元數(shù)據(jù)規(guī)范》核心元數(shù)據(jù)集
