本文關(guān)鍵詞： 知識組織 HNC(概念層次網(wǎng)絡(luò))理論 知識元 詞匯鏈　出處：《大連理工大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：網(wǎng)絡(luò)通訊技術(shù)的飛速發(fā)展使得人們可以接觸的信息呈爆炸式增長,急需的知識通常被實際不需要的信息垃圾淹沒,信息時代競爭力的關(guān)鍵不是實物資產(chǎn)或資源,而是知識,所以要像其他資產(chǎn)一樣管理和利用知識。針對期刊文獻的組織管理,有必要深入文獻內(nèi)部,對文獻知識合理表示、整理和關(guān)聯(lián),使得各學(xué)科各領(lǐng)域形成相互聯(lián)系的語義網(wǎng)絡(luò)。本文首先分析了本課題的研究背景和國內(nèi)外研究現(xiàn)狀,明確本文的研究對象是期刊文獻,目標(biāo)是期刊文獻知識的有效管理,以便為用戶提供更好的知識服務(wù)。然后闡述了知識組織與管理的相關(guān)理論和技術(shù),在此基礎(chǔ)上針對期刊文獻的知識結(jié)構(gòu)分析,分別從文獻知識的表示、抽取、整理和關(guān)聯(lián)幾個角度對其組織管理。第一,對期刊文獻結(jié)構(gòu)分析,把邏輯結(jié)構(gòu)劃分為主題、子主題、知識元、句子；提出期刊文獻的知識元六元組的描述模型,把詞匯鏈引入作為知識元屬性,分析每一屬性的涵義和對知識關(guān)聯(lián)的作用；提出基于HNC理論的詞匯鏈構(gòu)建方式,以便為下文中知識元的組織服務(wù)。第二,以詞匯鏈為基礎(chǔ),抽取知識元的主題詞和內(nèi)容,在詞匯鏈權(quán)重基礎(chǔ)上,計算知識元主題詞和內(nèi)容的權(quán)重影響因子,從準(zhǔn)確性和覆蓋率兩方面確定抽取比例；對知識元的主題領(lǐng)域劃分提出利用HNC的領(lǐng)域概念歸類,使同一領(lǐng)域粒度下的知識元匯集在一起。最后基于知識元的屬性和HNC理論,分析知識元的邏輯關(guān)聯(lián)和語義關(guān)聯(lián),描述了由詞匯鏈、主題領(lǐng)域、HNC概念關(guān)聯(lián)式對知識元之間的語義鏈接作用。第三,針對不同領(lǐng)域粒度下的知識元建立相應(yīng)的知識元庫,以情報知識元為例檢索,說明知識元檢索的意義和價值。本文主要是對文獻內(nèi)部知識的合理表示和組織,為用戶呈現(xiàn)深入文獻內(nèi)部的知識,迅速了解知識發(fā)展?fàn)顟B(tài)和學(xué)科分布,促進知識融合、創(chuàng)新,為個性化知識服務(wù)提供新思路。
[Abstract]:With the rapid development of network communication technology, the information that people can contact increases explosively. The badly needed knowledge is usually submerged by the information garbage that is not needed. The key to competitiveness in the information age is not physical assets or resources, but knowledge. Therefore, to manage and utilize knowledge as other assets, it is necessary for the organization and management of periodical documents to go deep into the literature, to reasonably express, organize and correlate the literature knowledge. This paper first analyzes the research background of this subject and the current research situation at home and abroad, and clarifies that the research object of this paper is periodical literature, and the goal is the effective management of periodical literature knowledge. In order to provide users with better knowledge service. Then the related theory and technology of knowledge organization and management are expounded. Based on this, the knowledge structure of periodical literature is analyzed and extracted from the representation and extraction of literature knowledge. Firstly, the logical structure is divided into themes, sub-themes, knowledge elements, sentences, and a description model of six tuples of knowledge tuples of periodical literature is proposed. This paper introduces the lexical chain as the attribute of knowledge element, analyzes the meaning of each attribute and its effect on knowledge association, and puts forward the construction method of lexical chain based on HNC theory in order to serve the organization of knowledge element in the following. Second, it is based on the lexical chain. On the basis of the weight of lexical chain, the factors affecting the weight of the subject words and contents of knowledge elements are calculated, and the extraction ratio is determined from the two aspects of accuracy and coverage. Based on the attribute of knowledge element and HNC theory, this paper proposes to classify the domain concept of HNC to make the knowledge element gather together. Finally, based on the attribute of knowledge element and HNC theory, the logical association and semantic association of knowledge element are analyzed. This paper describes the semantic link between knowledge elements by lexical chain, topic domain HNC concept association. Thirdly, the corresponding knowledge element database is established for different domain granularity, and the information knowledge element is retrieved as an example. This paper is mainly about the rational representation and organization of the internal knowledge of the literature, presents the knowledge inside the document for the user, quickly understands the knowledge development state and the discipline distribution, promotes the knowledge fusion, the innovation, and so on. To provide new ideas for personalized knowledge service.
【學(xué)位授予單位】：大連理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：G254;TP391.1

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本文編號：1523621