用于民间剪纸的半结构化数据存储模型的设计
发布时间：2018-07-15 10:18
【摘要】：文化不仅是人类长期创造发展的产物，也是人类历史沉淀的产物。一直以来，关于文化的传承和研究问题，都是科研工作者重点关注的问题。而Michel等人于2010年，将基因组学的知识与文化研究的问题结合起来，通过把词汇当作文化的基因，提出了一种通过时间变化来推测文化演变趋势的方法，从此拉开了文化计算的序幕。文化计算为文化的研究问题开辟了新的领域。但是由于文化计算正处于起步发展阶段，所以对于文化计算的实践和研究方法还在探索阶段。 民间剪纸是中华民族特有的民间手工艺术。它不仅用有浓烈的中国特色，，还蕴涵着中国民间传统文化信息。但是在世界经济一体化及遭受外来文化冲击的大背景下，中国剪纸已经逐渐走向衰落的趋势。主要体现在：剪纸作品一般只会出现在重大的节日庆典中和民间艺术作品的展览会上，并且能熟练掌握民间剪纸艺术技法的手工艺者也逐渐的减少了。目前，为了能是让民间剪纸艺术重铸辉煌，代表中国文化走向世界。也为了能保证民间剪纸能够永久的传承下去，相应的保护工作已经提上日程。 本文以民间剪纸作为研究对象，针对于剪纸图案的数字化表示及后续的剪纸信息检索、挖掘剪纸艺术相关规律和剪纸艺术的文化计算等问题，设计了一种XML半结构化数据存储模型。我们同样采用了基因学的知识，将剪纸图案拆分成剪纸基元、剪纸基因和剪纸对象三个部分。并通过剪纸基元、剪纸基因、剪纸对象和剪纸作品之间的关系提出了剪纸模型的四层结构。在每个层次中，通过相应的方法提取出剪纸基元、剪纸基因和剪纸对象的几何图形特征，并将这些几何特征数字化后存储到剪纸数据模型中。这样通过剪纸模型，一方面可以为后续的数据挖掘和文化计算问题提供数据的来源，另一方面可以在添加剪纸作品相关语义信息的基础上，通过存储数据的聚类分析挖掘蕴含在剪纸作品里的文化规律信息。 本文主要运用了XML技术和半结构化数据的特点，不仅可以实现剪纸图案与XML半结构化数据的双向转换和剪纸信息的浏览，还可以为后续的剪纸相关信息的检索工作提供数据支持。并且通过对剪纸模型的测试发现，如果在XML文档中添加必要的剪纸特征信息，该剪纸模型还拥有进一步支持数据挖掘和文化计算的能力。虽然没有提出具体聚类分析的数据挖掘算法，但是提出了剪纸模型的四种特殊功能，即挖掘剪纸传统规律的功能、自主划分剪纸类别的功能、挖掘深层剪纸文化的功能和挖掘剪纸生活化规律的功能。为后续的工作指出了具体方向。 同时，本文提出的这种半结构化数据存储的设计理念，同样可以运用到其他同民间剪纸相似的非文本资源上。
[Abstract]:Culture is not only the product of human creation and development, but also the product of human history. All along, the cultural inheritance and research issues are the focus of scientific research workers. Michel et al., in 2010, combined the knowledge of genomics with the question of cultural research, and put forward a method of estimating the trend of cultural evolution through time change by using vocabulary as a gene of culture. From then on, the prologue of cultural computing was opened. Cultural computing opens up a new field for the study of culture. However, cultural computing is in its infancy, so the practice and research methods of cultural computing are still in the exploration stage. The folk paper-cut is the folk handicraft art which the Chinese nation characteristic. It not only has strong Chinese characteristics, but also contains Chinese traditional culture information. However, under the background of the integration of the world economy and the impact of foreign culture, Chinese paper-cut has gradually declined. Mainly reflected in: paper-cut works will generally only appear in the major festival celebrations and folk art exhibition, and can master the folk paper-cut art techniques of the handicrafts have gradually decreased. At present, in order to be able to make folk paper-cut art re-cast brilliant, on behalf of Chinese culture to the world. Also in order to ensure that folk paper-cut can be perpetuated, the corresponding protection work has been put on the agenda. This paper takes folk paper-cut as the research object, aiming at the digital representation of paper-cut patterns and subsequent paper-cut information retrieval, mining the related laws of paper-cut art and the cultural calculation of paper-cut art, etc. An XML semi-structured data storage model is designed. We also use the knowledge of genetics to divide paper-cut patterns into three parts: paper-cut elements, paper-cut genes and paper-cut objects. The four-layer structure of paper-cut model is proposed by the relationship among paper-cut primitive, paper-cut gene, paper-cut object and paper-cut works. In each level, the geometric features of paper-cut elements, paper-cut genes and paper-cut objects are extracted by corresponding methods, and these geometric features are digitized and stored in the paper-cut data model. In this way, the paper-cut model can provide a source of data for subsequent data mining and cultural computing problems, on the other hand, on the basis of adding semantic information related to paper-cut works, Through clustering analysis of stored data, we mine the information of cultural laws contained in paper-cut works. This paper mainly uses the characteristics of XML technology and semi-structured data, which can not only realize the two-way conversion of paper-cut pattern and XML semi-structured data, but also the browsing of paper-cut information. It can also provide data support for subsequent retrieval of paper-cut-related information. By testing the paper-cut model, it is found that if the necessary paper-cut feature information is added to the XML document, the paper-cut model also has the ability to further support data mining and cultural computing. Although there is no specific data mining algorithm for clustering analysis, four special functions of paper-cut model are proposed, that is, the function of mining the traditional rule of paper-cut and the function of dividing paper-cut categories independently. Excavate the function of deep-seated paper-cut culture and excavate the function of life law of paper-cut. The concrete direction is pointed out for the follow-up work. At the same time, the design idea of semi-structured data storage proposed in this paper can also be applied to other non-text resources similar to folk paper-cut.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP311.13;TP333;J528.1
本文编号：2123746
[Abstract]:Culture is not only the product of human creation and development, but also the product of human history. All along, the cultural inheritance and research issues are the focus of scientific research workers. Michel et al., in 2010, combined the knowledge of genomics with the question of cultural research, and put forward a method of estimating the trend of cultural evolution through time change by using vocabulary as a gene of culture. From then on, the prologue of cultural computing was opened. Cultural computing opens up a new field for the study of culture. However, cultural computing is in its infancy, so the practice and research methods of cultural computing are still in the exploration stage. The folk paper-cut is the folk handicraft art which the Chinese nation characteristic. It not only has strong Chinese characteristics, but also contains Chinese traditional culture information. However, under the background of the integration of the world economy and the impact of foreign culture, Chinese paper-cut has gradually declined. Mainly reflected in: paper-cut works will generally only appear in the major festival celebrations and folk art exhibition, and can master the folk paper-cut art techniques of the handicrafts have gradually decreased. At present, in order to be able to make folk paper-cut art re-cast brilliant, on behalf of Chinese culture to the world. Also in order to ensure that folk paper-cut can be perpetuated, the corresponding protection work has been put on the agenda. This paper takes folk paper-cut as the research object, aiming at the digital representation of paper-cut patterns and subsequent paper-cut information retrieval, mining the related laws of paper-cut art and the cultural calculation of paper-cut art, etc. An XML semi-structured data storage model is designed. We also use the knowledge of genetics to divide paper-cut patterns into three parts: paper-cut elements, paper-cut genes and paper-cut objects. The four-layer structure of paper-cut model is proposed by the relationship among paper-cut primitive, paper-cut gene, paper-cut object and paper-cut works. In each level, the geometric features of paper-cut elements, paper-cut genes and paper-cut objects are extracted by corresponding methods, and these geometric features are digitized and stored in the paper-cut data model. In this way, the paper-cut model can provide a source of data for subsequent data mining and cultural computing problems, on the other hand, on the basis of adding semantic information related to paper-cut works, Through clustering analysis of stored data, we mine the information of cultural laws contained in paper-cut works. This paper mainly uses the characteristics of XML technology and semi-structured data, which can not only realize the two-way conversion of paper-cut pattern and XML semi-structured data, but also the browsing of paper-cut information. It can also provide data support for subsequent retrieval of paper-cut-related information. By testing the paper-cut model, it is found that if the necessary paper-cut feature information is added to the XML document, the paper-cut model also has the ability to further support data mining and cultural computing. Although there is no specific data mining algorithm for clustering analysis, four special functions of paper-cut model are proposed, that is, the function of mining the traditional rule of paper-cut and the function of dividing paper-cut categories independently. Excavate the function of deep-seated paper-cut culture and excavate the function of life law of paper-cut. The concrete direction is pointed out for the follow-up work. At the same time, the design idea of semi-structured data storage proposed in this paper can also be applied to other non-text resources similar to folk paper-cut.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP311.13;TP333;J528.1
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