In the newly discovered centennial old Guihai Nian Gengliubu, the Southeast Asia routes, especially Siam Bay route, are highly consistent with Zheng He’s voyages. Because Zheng He’s nautical chart did not leave the provisions of zhenlu in Siam Bay, it is difficult to verify the place names. Some scholars’ textual research reached the conclusions that the important islands and reefs such as Daheng, Xiaoheng, Bijia, Guishan in the Siam Bay are very different from those in the New Version of Zheng He’s Nautical Atlas. After conducting a digital humanistic textual research on the related zhenlu, it was found that there were unreasonable textual research conclusions in both of them. The author puts forward the corrective opinions on important misinterpretation of the relevant documents, and proposes comprehensive digital humanistic research suggestions on the sea road and compass course of all Chinese dynasties represented by Zheng He’s Nautical Chart.

More and more domestic colleges and universities offer courses and even Master Degree in digital humanities.Digital humanities has become an important part of the “new liberal arts” education in average universities. It is very meaningful to learn from European universities with a history of more than 20 years in regard of their education model of digital humanities. Adopting a combination of network research, literature research and content analysis, this article uses the relevant publications of the European Association for Digital Humanities (EADH) as the data basis, selects 5 typical universities that carried out digital humanities education early.It systematically researched and summarized their relevant experience, mainly from department setup, degree setting, curriculum system, and faculty, for detailed analysis. Finally, based on the actual situation of China, the article puts forward suggestions

In recent years, ancient texts visualization has become an important way for humanities scholars to read ancient texts in digital humanities research. Ancient texts visualization has brought a new way of presenting the information of ancient books, enriched the reading experience of humanities scholars, and also resulted in new methods of text observation and analysis. Based on the concept of intensive reading and extensive reading of ancient texts, this paper analyzes the theoretical basis of ancient texts visualization, summarizes the types and processes of ancient texts visualization, analyzes the processing methods and visualization technologies in the visualization of ancient books. This paper also analyzes the challenges encountered in the process of ancient texts visualization from two aspects of text information processing and text visualization methods. This study is helpful to better understand the theoretical basis of ancient texts visualization, and further clarify the common processing methods and technologies of ancient texts visualization

Digital humanities as an emerging field that spans technology and humanities, bring new demands for building image database based on infrastructure construction, new challenges and opportunities as well. What are the advantages and disadvantages of image databaseconstruction in different fields? How can we use digital technology, semantic web, artificial intelligence and other modern information technologies to increase the breadth and depth of image database construction? These are the issues that need to be discussed further. This paper uses literature research, case study, practical verification and other methods to explore the three major image databases in the world and typical influential cases at home and abroad. From the levels of content description, database construction technology, service and copyright, it also discusses the commonalities, characteristics, advantages and disadvantages of the image database constructions in different fields and proposes three major trends, namely, deep Internet integration, interdisciplinary integration, and multi-dimensional semantic annotation of images

With the increasing popularity of digital tools in humanities research, the paper tries to take the virtual community of humanities academics as a subject to explore the characteristics of communication behavior of humanities scholars, especially their difficulties in obtaining and using digital tools. The study uses the XL section of the GX community as the data source, applies a combination of quantitative and qualitative research. The study concluded with 6 basic findings, including: (1) The humanities scholars hold an ambiguous view on tools; (2) The most commonly used and most problematic digital tools for humanities scholars are office software and e-books; (3) Access to digital tools is the most common difficulty; (4) Humanities virtual community has proved to be a very effective way to solve difficulties in the use of digital tools; (5) It’s necessary to pay attention to the improvement of the digital literacy and information literacy of humanities researches; (6) The information service institutions, such as libraries and archives, have a low sense of existence in the humanities academic virtual community, but they are still indispensable. 

Most practices of digital humanities were made by a single organization or institution and executed by one project for one topic model. Serious problems occurred, as current applications couldn’t meet the needs of digital transformation of multi-source heterogeneous information in huge volume, resource are being wasted in repeated constructions, and data correlation and sharing can hardly be realized due to the lack of standards. This paper provides a framework of digital humanities artificial intelligence platform, which builds a closed-loop for machine automation in workflow and shares the tools and technologies. It also introduces the details of digital humanities artificial intelligence platform on the infrastructure level, platform level, service level, as well as application level. In addition, it takes the Digital Humanities Artificial Intelligence Platform in East China Normal University (ECNU-DHAI) as an example and introduces its framework, computing resources, OCR function and crowdsourcing model.

Digital humanities is a cross field of traditional history, literature,computer, and multimedia, of which text analysis and text mining are important aspects. The complexity of ancient works in terms of text also becomes the main difficulty of digital humanities research. As one of the three pillars of Chinese history, genealogy has important research value. From the perspective of digital humanities and taking the genealogy of the Zhuangs in Piling as the corpus, the paper visually presents the situation and changes of the family marriage in Jiangnan region through basic statistical analysis and social network analysis. In addition,the paper provides a new way to study the relationship between genealogical characters by means of digital humanities.

The rise of the newspaper in the 20th century reflected the prosperity of Shanghai’s commerce and culture where advertisement about cultural activities played an important role. A number of such old materials have been photocopied and published online by Shanghai Library at Cnbksy.com. However, it is often difficult to reveal information content contained in image resources via meta-data descriptions. Further utilization is thus restricted.Shaoxing Opera, the most popular drama in Shanghai, is one of the intangible cultural heritages of China, of which newspaper advertising is too old-fashioned to attract much attention on large-scale social labeling or machine labeling. Inheritance and dissemination are two major needs of intangible cultural heritages, where image plays a key role in reflecting the connotation of resources and satisfying the needs of users.In this paper, newspaper advertisement from 1923 to 1949 of Shaoxing Opera was selected as subjects. It combines the semantic model and the techniques of IIIF to reveal the text information covered by the images more accurately. It is helpful for humanities scholars to make better use of the advertising resources of old newspapers, and is beneficial to the spread of intangible cultural heritages culture.

This paper attempts to understand the redistribution of academic materials by way of digital humanities from the perspective of “private-shared” consumption of academic materials. The study maintains that, first of all, digital humanities produce a response to the inherent contradictions of traditional humanities and scholars, trying to correct the negative externalities of the use of academic materials by technical means without sacrificing the “inherent property rights” of these materials. Secondly, digital humanities are the product of the union and agglomeration between scholars and scholars, between scholars and academia, between academia and technology, and between the rational calculation and value diffusion. It is not a pure academic phenomenon or a pure technical means, but a result from the embedding of academics and technology. Finally, digital humanities are one of the forms in which academic groups reallocate academic materials. After sharing the right to use individual data, it breaks through the marginal growth effect of “private” data consumption and contributes to the diffusion of academic resources, which is consistent with fair distribution. On this basis, digital humanities can be considered as a form of academic information redistribution based on technology and humanities.

The palm leaf manuscript is an important human cultural heritage with much value in history, religion, culture and science. Due to its materials, preservation environment, and so forth, the palm leaf manuscript is in a state of severe endangerment. Digitizing and constructing the database of palm leaf manuscripts have a positive significance for protecting and inheriting their value. Considering the characteristics of palm leaf manuscripts, and lessons from foreign theoretical and practical research on the database of palm leaf manuscripts, the paper discusses the construction of characteristic database of palm leaf manuscripts in China, in terms of resource selection, information collection, data processing, and retrieval. It highlights the characteristics of such database, such as the three-dimensional rendering as well as the full-text retrieval in multiple languages.

Taking the collaborative research of humanities, libraries, and other disciplines in the design and implementation of the Chinese Phonology Database Sharing Research Platform as an example, the paper describes the internal research of humanities, the cooperation between libraries and humanities, and the cooperation between other disciplines. Starting from the “problems”, and extending the “user-centered” concept, it explains the significance of cooperation between library and humanities. From the four aspects, namely, resources, data management and storage space, platform and user aggregation, and personnel structure, it elaborates on the advantages and irreplaceability of the library in digital humanities cooperation research. It regards library as a natural digital humanities incubator, and believes that the in-depth cooperation between library and humanities will make it easier to achieve the balance and practicality between “digital” and “humanities”, helping to promote digital humanities projects on the application level. 

As an interdisciplinary subject, Digital Humanities emphasizes the integration and development of computing technology and humanities. Ancient Chinese classics is an important part of the study of humanities. In this context, we use computer technology to extract keywords from the digitized classics of the Spring and Autumn period, so as to analyze the distribution of keywords in the classics of the Spring and Autumn period. In this paper, three keyword extraction algorithms are used, which are based on unsupervised textrank algorithm, traditional TF-IDF algorithm and LDA topic model algorithm. Based on evaluation method of pooling, it is found that textrank algorithm can extract better keywords with an accuracy of 84%. The accuracy of traditional TF-IDF algorithm and LDA topic model algorithm is 62% and 74% respectively. At the same time, according to the keywords drawn out, we can find that the chronicles of the Spring and Autumn period mainly focus on the interrogation, alliance, expedition, marriage and funeral, usurpation and killing among the vassal states. Keywords Digital Humanities, TextRank, 

Using bibliometric methods for “quantitative” interpretation and analysis of Chinese modern literary works, the paper provides new paradigms and ideas for digital humanities research. Taking Gu Cheng’s poetry as an example, we revised and expanded Gu’s own phasing of his creation. Then, we statistically analyzed Gu’s poems at different stages combining Gu Cheng’s biography. Finally, we used the word frequency analysis method (WFAM) for Gu’s poems from both an overall perspective and from each phase on Chinese word segmentation of poetry text corpus. The four stages of Gu’s poems creation were expanded into six stages. The quantity changes and the reasons of Gu’s poems creation at each stage were analyzed by using statistical analysis method. The overall theme and style and the evolution at all stages was revealed by using WFAM. The analysis results show that using WFAM could more objectively interpret and analyze the creative theme and style of modern literary works. The results have some due to authors, technology, data, etc.