民族節(jié)日領域本體的構建及語義檢索模型研究
發(fā)布時間：2018-09-01 09:24
【摘要】：少數(shù)民族文化是民族發(fā)展過程中創(chuàng)造并傳承下來的精神財富,有著獨特的價值、豐富的內涵和鮮明的民族特色,其中少數(shù)民族的傳統(tǒng)節(jié)日更是民族文化不可缺少的一部分。但由于現(xiàn)代社會的發(fā)展和主流文化的強勢沖擊、少數(shù)民族信息資源開發(fā)利用不足,傳統(tǒng)的信息傳播方式使民族風俗、文化、宗教等具有民族特色的資源面臨著傳承中斷的困境。本文以潑水節(jié)為例,實現(xiàn)了對少數(shù)民族節(jié)日領域本體的半自動構建,并對民族節(jié)日領域語義檢索模型進行研究,利用本體技術的優(yōu)勢為后續(xù)的少數(shù)民族文化傳承、保護和宣傳提供了技術基礎。本文主要工作如下:1.本文總結國內外本體半自動構建的現(xiàn)狀,探討領域本體的半自動構建的模式方法,提出一種民族節(jié)日領域本體的半自動構建方法,并構建了領域初始本體,通過專家指導和查詢大量文獻資料構造了民族節(jié)日領域詞典用于文本分詞。2.結合領域需求,通過網(wǎng)絡爬蟲技術獲取文本,利用SVM文本分類技術獲取民族節(jié)日領域中潑水節(jié)相關文本。在文本預處理的分詞階段使用本文構造的領域詞典并對特征選擇的卡方檢驗方法和權重計算的TF-IDF方法做出改進,提高了分類的準確性。3.對文本分類后獲取到的領域相關文本進行概念和關系的提取,在概念提取階段使用基于統(tǒng)計的方法獲取領域概念集,在關系提取階段以詞法特征為基礎,結合依存句法分析技術,利用基于樹結構思想的SVM對概念關系進行提取,用Jena API和Protégé共同完成本體擴展、修正和概念關系細化工作,形成最終領域本體。4.為驗證領域本體的實用性,對民族節(jié)日領域本體的檢索應用提出了詳細的設計和構思,并構建了初始的語義檢索試驗模型,為本體的后續(xù)應用提供理論基礎和可行性研究。
[Abstract]:Minority culture is the spiritual wealth created and passed down in the process of national development, which has unique value, rich connotation and distinct national characteristics, among which the traditional festival of ethnic minorities is an indispensable part of national culture. However, due to the development of modern society and the strong impact of mainstream culture, the exploitation and utilization of the information resources of ethnic minorities are insufficient, and the traditional ways of information dissemination make the national customs, culture, religion and other resources with national characteristics faced with the dilemma of inheritance and interruption. This paper takes the water splashing festival as an example, realizes the semi-automatic construction of the domain ontology of the minority festival, studies the semantic retrieval model of the national festival field, and makes use of the advantages of ontology technology to carry on the subsequent minority culture inheritance. Protection and publicity provide the technical basis. The main work of this paper is as follows: 1. This paper summarizes the present situation of ontology semi-automatic construction at home and abroad, discusses the mode method of domain ontology semi-automatic construction, puts forward a semi-automatic construction method of national festival domain ontology, and constructs domain initial ontology. Through expert guidance and inquiry a large number of literature materials to construct a national festival field dictionary for text participle. 2. According to the requirements of the field, the text is obtained by the web crawler technology and the text classification technology of SVM is used to obtain the relevant text of the water splashing festival in the field of national festivals. In the word segmentation stage of text preprocessing, the domain dictionary constructed in this paper is used and the chi-square test method of feature selection and the TF-IDF method of weight calculation are improved to improve the accuracy of classification. 3. The concepts and relationships of domain related texts are extracted after text classification. In the phase of concept extraction, a statistical method is used to obtain domain concept sets, and in the phase of relation extraction, lexical features are used as the basis. Combined with dependency syntax analysis technology, SVM based on tree structure is used to extract concept relation, and Jena API and Prot 茅 g 茅 are used to complete ontology extension, revise and refine concept relation, and form final domain ontology. 4. In order to verify the practicability of domain ontology, this paper presents a detailed design and conception for the retrieval application of national festival domain ontology, and constructs an initial semantic retrieval experimental model, which provides a theoretical basis and feasibility study for the subsequent application of ontology.
【學位授予單位】：云南師范大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP391.3
[Abstract]:Minority culture is the spiritual wealth created and passed down in the process of national development, which has unique value, rich connotation and distinct national characteristics, among which the traditional festival of ethnic minorities is an indispensable part of national culture. However, due to the development of modern society and the strong impact of mainstream culture, the exploitation and utilization of the information resources of ethnic minorities are insufficient, and the traditional ways of information dissemination make the national customs, culture, religion and other resources with national characteristics faced with the dilemma of inheritance and interruption. This paper takes the water splashing festival as an example, realizes the semi-automatic construction of the domain ontology of the minority festival, studies the semantic retrieval model of the national festival field, and makes use of the advantages of ontology technology to carry on the subsequent minority culture inheritance. Protection and publicity provide the technical basis. The main work of this paper is as follows: 1. This paper summarizes the present situation of ontology semi-automatic construction at home and abroad, discusses the mode method of domain ontology semi-automatic construction, puts forward a semi-automatic construction method of national festival domain ontology, and constructs domain initial ontology. Through expert guidance and inquiry a large number of literature materials to construct a national festival field dictionary for text participle. 2. According to the requirements of the field, the text is obtained by the web crawler technology and the text classification technology of SVM is used to obtain the relevant text of the water splashing festival in the field of national festivals. In the word segmentation stage of text preprocessing, the domain dictionary constructed in this paper is used and the chi-square test method of feature selection and the TF-IDF method of weight calculation are improved to improve the accuracy of classification. 3. The concepts and relationships of domain related texts are extracted after text classification. In the phase of concept extraction, a statistical method is used to obtain domain concept sets, and in the phase of relation extraction, lexical features are used as the basis. Combined with dependency syntax analysis technology, SVM based on tree structure is used to extract concept relation, and Jena API and Prot 茅 g 茅 are used to complete ontology extension, revise and refine concept relation, and form final domain ontology. 4. In order to verify the practicability of domain ontology, this paper presents a detailed design and conception for the retrieval application of national festival domain ontology, and constructs an initial semantic retrieval experimental model, which provides a theoretical basis and feasibility study for the subsequent application of ontology.
【學位授予單位】：云南師范大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP391.3
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