面向多源异构丝路文化遗产数据的智能挖掘方法  

Intelligent mining method for multi-source heterogeneous Silk Road cultural heritage data

作　　者：杨寒淋 周娅鹃 赵丰 徐蓉[2] 安薇竹 翁正秋[2] 宁灵舰 金宇 YANG Hanlin;ZHOU Yajuan;ZHAO Feng;XU Rong;AN Weizhu;WENG Zhengqiu;NING Lingjian;JIN Yu(Department of International Exchanges,China National Silk Museum,Hangzhou 310002,China;College of Artificial Intelligence,Wenzhou Polytechnic,Wenzhou 325006,China;College of Textile Science and Engineering(International Institute of Silk),Zhejiang Sci-Tech University,Hangzhou 310018,China;Zhejiang Branch,Tongfang Knowledge Network Technology Co.,Ltd.(Beijing),Hangzhou 310018,China)

机构地区：[1]中国丝绸博物馆国际交流部,杭州310002 [2]温州职业技术学院人工智能学院,浙江温州325006 [3]浙江理工大学纺织科学与工程(国际丝绸学院),杭州310018 [4]同方知网(北京)技术有限公司浙江分公司,杭州310018

出　　处：《丝绸》2023年第1期9-15,共7页Journal of Silk

基　　金：浙江省文物保护科技项目(2021002);温州职业技术学院高职教育专项研究项目(WZYGJzd202101)。

摘　　要：为了进一步弘扬丝路文化遗产价值,有必要对丝路文化遗产数据进行深入分析与探究。然而,目前丝路文化遗产数据呈现多源异构的特性,包括不同来源的数据和不同模态的数据,导致了对多维度海量数据进行深层次的处理较为困难。文章首先通过对互联网数据的垂直搜索,高效采集丝绸之路相关信息;接着利用支持向量机自动快速、精确地完成文本分类工作;然后利用文本聚类技术对数据信息进行去重、去噪等清洗作业;最后,评选出影响力较大的事件,形成《丝绸之路文化遗产年报》对全球公开发布。文章为丝路文化遗产数据的分析与挖掘提供了经验与借鉴。Silk,as one of the important inventions in ancient China,carries rich cultural,technological and social connotations.The Silk Road,which was originally used for silk transport,opened the first large-scale trade exchange between the East and the West in the world history.Since the successful inscription of the Silk Road on the World Heritage List in 2014,its historical concept and practical significance have been further explored and expanded.In order to further promote the value of Silk Road cultural heritage and build a bridge for mutual learning between different civilizations,it is necessary to conduct an in-depth analysis and exploration on the Silk Roads cultural heritage data.However,the current data including that from different sources(e.g.:data from different countries,data in different languages,and data from different platforms)and that in different modalities(e.g.:databases in structured data,document report XML and other unstructured data)present the characteristics of multi-source and heterogeneity,which results in the difficulty of deep processing to the multi-dimensional massive data.For achievingthe deep and efficient integration of Silk Road cultural heritage data,an intelligent mining method for multi-source and heterogeneous data is studied.We first collect information about Silk Roads through a vertical search of Internet data.For the multi-source and heterogeneous Silk Road data,it can collect coarse-grained information on the entire Internet under the man-machine integration to ensure its wide coverage.It enables a massive data storage and full-text retrieval system,and retrieval work implementing with a millisecond response speed for millions of documents.Through the man-machine method,the translation software is integrated in the process of using the capture software to achieve the universally multilingual information.Then,we use support vector machine to automatically complete the text classification work quickly and accurately.Specifically,we use TF-IDF to extract words in the text that

关 键 词：丝绸之路 文化遗产 多源异构 数据垂直搜索 支持向量机 文本聚类 大数据分析 

分 类 号：TS141.8[轻工技术与工程—纺织材料与纺织品设计]