本文選題：版權(quán) + 本體�。� 參考：《北方工業(yè)大學(xué)》2017年碩士論文

【摘要】：本體是源自哲學(xué)的一個(gè)概念,近年來(lái)隨著計(jì)算機(jī)信息科學(xué)的發(fā)展被引入到計(jì)算機(jī)領(lǐng)域,用于構(gòu)建所描述事物的規(guī)范概念或術(shù)語(yǔ),使得機(jī)器可以理解知識(shí)。本體在人工智能和語(yǔ)義網(wǎng)的發(fā)展中有重要的作用。對(duì)本體的研究已成為知識(shí)庫(kù)構(gòu)建方法研究的重要組成部分。版權(quán)[49](又稱著作權(quán)),是作者對(duì)作品依法享有的財(cái)產(chǎn)權(quán)和人身權(quán)等。版權(quán)是作者對(duì)他的作品依法享有的復(fù)制權(quán)利的合法所有權(quán),包括計(jì)算機(jī)程序、文學(xué)作品、音樂(lè)視頻作品(如音樂(lè)、電影)以及攝影攝像作品�；诒倔w的版權(quán)知識(shí)庫(kù)是通過(guò)本體技術(shù)將版權(quán)知識(shí)進(jìn)行組織、整理以及建立概念之間的關(guān)系網(wǎng)格,并提供檢索服務(wù)的知識(shí)集群。傳統(tǒng)的知識(shí)庫(kù)檢索手段通過(guò)簡(jiǎn)單的字符串匹配方式進(jìn)行檢索,導(dǎo)致知識(shí)獲取效率低下。近年來(lái)采用語(yǔ)義檢索方式己成為提高檢索效率的重要方法。本文根據(jù)本體的特性,設(shè)計(jì)出基于本體的版權(quán)知識(shí)庫(kù)構(gòu)建模型,使得版權(quán)知識(shí)庫(kù)具備語(yǔ)義性質(zhì),可以提供具有語(yǔ)義推理功能的檢索服務(wù)。在本體構(gòu)建方法上,本文針對(duì)版權(quán)案例文本屬于半結(jié)構(gòu)化知識(shí),可以用自動(dòng)構(gòu)建的方式構(gòu)建本體,而文本量小且準(zhǔn)確性要求較高的法律知識(shí)需要手動(dòng)構(gòu)建本體。該方法可以實(shí)現(xiàn)自動(dòng)構(gòu)建本體,減少構(gòu)建時(shí)間。傳統(tǒng)知識(shí)庫(kù)不能滿足人們?nèi)找嬖鲩L(zhǎng)的知識(shí)需求,因此課題提出利用本體的語(yǔ)義特性的改進(jìn)傳統(tǒng)知識(shí)庫(kù),使知識(shí)庫(kù)可以理解知識(shí)語(yǔ)義。本文針對(duì)版權(quán)知識(shí)的結(jié)構(gòu)特點(diǎn)對(duì)本體構(gòu)建方法進(jìn)行了改進(jìn),提出了基于本體的版權(quán)知識(shí)庫(kù)構(gòu)建模型,該模型包括三個(gè)方面:(1)知識(shí)庫(kù)的規(guī)劃與設(shè)計(jì)。(2)本體構(gòu)建。(3)知識(shí)服務(wù)(可視化展示和檢索服務(wù))。本課題使用圖形化的本體構(gòu)建工具Protege來(lái)構(gòu)建本體框架,然后利用Jena本體操作工具實(shí)現(xiàn)本體實(shí)例化和知識(shí)推理。知識(shí)檢索功能通過(guò)開(kāi)源全文檢索引擎工具包Lucene實(shí)現(xiàn)的,通過(guò)Jena本體技術(shù)與Lucene全文檢索技術(shù)的融合提高查詢準(zhǔn)確率。最后,通過(guò)構(gòu)建基于本體的版權(quán)知識(shí)檢索服務(wù)系統(tǒng),驗(yàn)證基于本體的版權(quán)知識(shí)庫(kù)構(gòu)建方法的可行性。
[Abstract]:Ontology is a concept derived from philosophy. In recent years, with the development of computer information science, it has been introduced into the field of computer, which is used to construct normative concepts or terms for describing things, so that machines can understand knowledge. Ontology plays an important role in the development of artificial intelligence and semantic web. The research of ontology has become an important part of knowledge base construction. Copyright [49] (also known as copyright) is the author's property right and personal right in accordance with the law. Copyright is the legal right of the author to copy his works, including computer programs, literary works, music and video works (such as music, movies) and photographic and video works. The copyright knowledge base based on ontology is a knowledge cluster that organizes, arranges and builds the relational grid of concepts and provides retrieval services through ontology technology. The traditional method of knowledge base retrieval is simple string matching, which leads to low efficiency of knowledge acquisition. In recent years, semantic retrieval has become an important method to improve retrieval efficiency. According to the characteristics of ontology, this paper designs a model of copyright knowledge base based on ontology, which makes copyright knowledge base have semantic properties and can provide retrieval services with semantic reasoning function. In terms of ontology construction method, the text of copyright case belongs to semi-structured knowledge, which can be constructed automatically. However, the legal knowledge with small amount of text and high accuracy needs to build ontology manually. This method can automatically build ontology and reduce the construction time. The traditional knowledge base can not meet the increasing demand of knowledge, so we propose to improve the traditional knowledge base by using the semantic characteristics of ontology, so that the knowledge base can understand the semantics of knowledge. In this paper, according to the structural characteristics of copyright knowledge, the method of ontology construction is improved, and the model of building copyright knowledge base based on ontology is proposed. The model includes three aspects: (1) Planning and design of knowledge base. (2) Ontology construction. (3) knowledge service (visual presentation and retrieval service). In this paper, we use the graphical ontology construction tool Protege to construct the ontology framework, and then use the Jena ontology operation tool to realize ontology instantiation and knowledge reasoning. The knowledge retrieval function is realized by open source full-text search engine (Lucene), and the query accuracy is improved by the fusion of Jena ontology technology and Lucene full-text retrieval technology. Finally, the ontology-based copyright knowledge retrieval service system is constructed to verify the feasibility of the ontology-based copyright knowledge base construction method.
【學(xué)位授予單位】：北方工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.3

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 張克亮;李偉剛;王慧蘭;;基于本體的航空領(lǐng)域問(wèn)答系統(tǒng)[J];中文信息學(xué)報(bào);2015年04期

2 鄭宇衛(wèi);;基于Lucene構(gòu)建的Web服務(wù)搜索引擎[J];電腦編程技巧與維護(hù);2015年04期

3 吳新強(qiáng);周婭;王如意;張敬偉;林煜明;;基于Lucene的XML文件相似度檢索系統(tǒng)[J];計(jì)算機(jī)系統(tǒng)應(yīng)用;2015年02期

4 徐有健;;基于Lucene的中文分詞算法研究與實(shí)現(xiàn)[J];電子測(cè)試;2014年24期

5 宋獻(xiàn)民;逄煥利;魏Y伶，

本文編號(hào)：1882307