民族節(jié)日領(lǐng)域本體的構(gòu)建及語義檢索模型研究
[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(xué)位授予單位】:云南師范大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TP391.3
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