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Despite its growing popularity, there is a noticeable absence of references to the inclusion of genealogy and family history studies within the field of digital humanities. New forms of inclusiveness, particularly in production-coding and cultural analysis, closely align genealogy and family history with the core tenants practiced among humanities computing and digital humanities. This paper aims to prove that genealogy as family history should be formally recognized within this cohort, as it can serve as a valuable and innovative partner for advocacy and technological advancement of the field.

By examining the literature, genealogy will be defined according to its use in the digital humanities, as well as its use in family history studies. The core tenants of humanities computing and digital humanities will be identified and compared against the research methodology and technological tools used in genealogy and family history research. The comparison will determine how closely the fields align, and if genealogy defined as family history should be used, and included within the field of digital humanities.

The progression of genealogy and family history from production to cultural analysis corresponds with the transition of production and coding (influenced by humanities computing) to the inclusion of experimental cultural research adopted by the digital humanities. Genealogy’s use of technological tools, such as databases, text encoding, data-text mining, graphic information systems and DNA mapping, demonstrates the use of coding and production. Cultural analysis through demographic study, crowdsourcing and establishing cultural connections illustrates new methods of scholarship, and connects coding and cultural criticism, serving as a bridge between digital humanities and the humanities at large. As genealogy continues to create new partnerships of a collaborative nature, it can, and will, continue to contribute to new areas of study within the field. As these practices continue to converge with the digital humanities, genealogy should be recognized as a partner and member in the digital humanities cohort.

Despite its growing popularity, there is a noticeable absence of references to the inclusion of genealogy and family history studies within the field of the digital humanities. The term genealogy resonates differently within the digital humanities, primarily articulating the history of the field over the study and research of family lineage. This study seeks to demonstrate how genealogy and family history can fit within the digital humanities, providing a new perspective that has not yet been articulated in the scholarly literature.

Digital humanities (DH) has become a much discussed topic among both humanities scholars and library professionals. The library and information science (LIS) community has taken efforts in providing new facilities and developing new services to meet humanities scholars’ changing research behaviors and needs employing digital tools and methods. How to effectively collaborate with the DH community has been a challenging task to LIS in their digital library (DL) development endeavors. The purpose of this paper is to discover productive ways for LIS to support DH scholarship, specifically, what DL components, including content, technology, and service, should and could be developed for digital humanists.

As an initial effort of the Digital Humanities Interest Group at University of California, Irvine Libraries, the examination is primarily based on a cross-boundary environmental scan in both DH and DL fields. The environmental survey includes both a literature review and web and physical site visits. The survey results, especially a gap analysis between the behaviors and needs of humanities scholars and the digital content, technologies, and services currently offered by the DL community, are used to shape the proposed roles of DH librarianship.

First, DH’s innovative approach to research and teaching practices brings opportunities and challenges. Second, DH research is collaborative work. Third, major channels are established for the DH community. Fourth, various tools and data sets are developed to support different types of projects. Fifth, DH community has unbalanced geographical and disciplinary distribution. Sixth, DH research output still lacks attention, integration, and sustainability. Finally, LIS professionals play unique roles in DH projects. Overall, the communities of DH and DL share common goals and tasks.

This paper proposes these present and future roles of LIS professionals: creator and contributor; curator; messenger and liaison; educator; mediator and interpreter; host; partner; innovator; “hybrid scholar”; advocate; consultant. At the organizational level, libraries should demonstrate higher efficiency and effectiveness in the services by revamping organizational culture or structure to stimulate and realize more and deeper cross-boundary conversations and collaborations. On a larger scale, the DL community should strive to become more visible, valuable, and approachable to the DH community; and even better, become part of it.

This paper examines both DH and DL fields critically and connects the two communities by discovering gaps and commonalities. Based on the findings, the authors recommend roles and actions to be taken by LIS professionals, libraries, and the DL community. This paper is valuable to both humanities scholars who are seeking support in their research using digital methods and LIS professionals who are interested in providing more effective and suitable services. The paper also helps library administrators and aspiring librarians better understand the concept of DH and grasp insight on the present and future of DH librarianship.

The purpose of this paper is to dissect key issues and debates in digital humanities, an emerging field of theory and practice. Digital humanities stands greatly to impact the Information and Library Science (ILS) professions (and vice versa) as well as the traditional humanities disciplines.

This paper explores the contours of digital humanities as a field, touching upon fundamental issues related to the field’s coalescence and thus to its structure and epistemology. It looks at the ways in which digital humanities brings new approaches and sheds new light on manifold humanities foci.

Digital humanities work represents a vital new current of interdisciplinary, collaborative intellectual activity both in- and outside the academy; it merits particular attention from ILS.

This paper helps potential stakeholders understand the intellectual and practical framework of the digital humanities and “its relationship” to their own intellectual and professional work.

This paper critically synthesizes previous scholarly work in digital humanities. It has particular value for those in ILS, a community that has proven especially receptive to the field, as well as to scholars working in many humanities disciplines. Digital humanities has already made an important impact on both LIS and the humanities; its impact is sure to grow.

The purpose of this article is to discuss the results of the Log Analysis of Internet Resources in the Arts and Humanities (LAIRAH) study. It aims to concentrate upon the use and importance of information resources, physical research centres and digital finding aids in scholarly research.

Results are presented of web server log analysis of portals for humanities scholars: the arts and humanities data service (AHDS) website and Humbul Humanities Hub. These are used to determine which resources were accessed most often, or seldom. Questionnaire data about perceptions of digital resource use were also gathered.

Information resources such as libraries, archives museums and research centres, and the web pages that provide information about them are vital for humanities scholars. The university library website was considered to be the most important resource, even compared to Google. Secondary finding aids and reference resources are considered more important than primary research resources, especially those produced by other scholars, whose output is less trusted than publications produced by commercial organisations, libraries, archives and museums.

Digital resources have not replaced physical information resources and the people who staff them, thus both types of information continue to require funding. Scholars trust the judgment of information professionals, who therefore need to be trained to evaluate and recommend specialist digital research resources.

LAIRAH was the first research project to use quantitative data to investigate resource use. Findings about the type of resources used are based on evidence rather than opinions alone. This gives a clearer picture of usage that may be used to plan future information services.

The purpose of this paper is to investigate how scholars in the digital humanities employ information visualization techniques in their research, and how academic librarians should prepare themselves to support this emerging trend.

This study adopts a content analysis methodology, which further draws techniques from data mining, natural language processing and information visualization to analyze three peer-reviewed journals published within the last five years and ten online university library research guides in this field.

To successfully support and effectively contribute to the digital humanities, academic librarians should be knowledgeable in more than just visualization concepts and tools. The content analysis results for the digital humanities journals reflect the importance of recognizing the wide variety of applications and purposes of information visualization in digital humanities research.

This study provides useful and actionable insights into how academic librarians can prepare for this emerging technology to support future endeavors in the digital humanities.

Although information visualization has been widely adopted in digital humanities research, it remains unclear how librarians, especially academic librarians who support digital humanities research, should prepare for this emerging technology. This research is the first study to address this research gap through the lens of actual applications of information visualization techniques in digital humanities research, which is compared against university LibGuides for digital humanities research.

This study aims to develop a hierarchical topic analysis tool (HTAT) based on hierarchical Latent Dirichelet allocation (hLDA) to support digital humanities research that is associated with the need of topic exploration on the Digital Humanities Platform for Mr. Lo Chia-Lun’s Writings (DHP-LCLW). HTAT can assist humanities scholars on distant reading with analysis of hierarchical text topics, through classifying time-stamped texts into multiple historical eras, conducting hierarchical topic modeling (HTM) according to the texts from different eras and presenting through visualization. The comparative network diagram is another function provided to assist humanities scholars in comparing the difference in the topics they wish to explore and to track how the concept of a topic changes over time from a particular perspective. In addition, HTAT can also provide humanities scholars with the feature to view source texts, thus having high potential to be applied in promoting the effectiveness of topic exploration due to simultaneously integrating both the topic exploration functions of distant reading and close reading.

This study adopts a counterbalanced experimental design to examine whether there is significant differences in the effectiveness of topic inquiry, the number of relevant topics inquired and the time spent on them when research participants were alternately conducting text exploration using DHP-LCLW with HTAT or DHP-LCLW with Single-layer Topic Analysis Tool (SLTAT). A technology acceptance questionnaire and semi-structured interviews were also conducted to understand the research participants' perception and feelings toward using the two different tools to assist topic inquiry.

The experimental results show that DHP-LCLW with HTAT could better assist the research participants, in comparison with DHP-LCLW with SLTAT, to grasp the topic context of the texts from two particular perspectives assigned by this study within a short period. In addition, the results of the interviews revealed that DHP-LCLW with HTAT, in comparison with SLTAT, was able to provide a topic terms that better met research participnats' expectations and needs, and effectively guided them to the corresponding texts for close reading. In the analysis of technology acceptance and interview data, it can be found that the research participants have a high and positive tendency toward using DHP-LCLW with HTAT to assist topic inquiry.

The Jieba Chinese word segmentation system was used in the Mr. Lo Chia-Lun’s Writings Database in this study, to perform word segmentation on Mr. Lo Chia-Lun’s writing texts for topic modeling based on hLDA. Since Jieba word segmentation system is a lexicon based word segmentation system, it cannot identify new words that have still not been collected in the lexicon well. In this case, the correctness of word segmentation on the target texts will affect the results of hLDA topic modeling, and the effectiveness of HTAT in assisting humanities scholars for topic inquiry.

An HTAT was developed to support digital humanities research in this study. With HTAT, DHP-LCLW provides hmanities scholars with topic clues from different hierarchical perspectives for textual exploration, and with temporal and comparative network diagrams to assist humanities scholars in tracking the evolution of the topics of specific perspectives over time, to gain a more comprehensive understanding of the overall context of the texts.

In recent years, topic analysis technology that can automatically extract key topic information from a large amount of texts has been developed rapidly, but the topics generated from traditional topic analysis models like LDA (Latent Dirichelet allocation) make it difficult for users to understand the differences in the topics of texts with different hierarchical levels. Thus, this study proposes HTAT which uses hLDA to build a hierarchical topic tree with a tree-like structure without the need to define the number of topics in advance, enabling humanities scholars to quickly grasp the concept of textual topics and use different hierarchical perspectives for further textual exploration. At the same time, it also provides a combination function of temporal division and comparative network diagram to assist humanities scholars in exploring topics and their changes in different eras, which helps them discover more useful research clues or findings.

The purpose of this paper is to conduct a retrospective bibliometric analysis of documents about digital humanities, an emerging but interdisciplinary movement. It examines the distribution of research outputs and languages, identifies the active journals and institutions, dissects the network of categories and cited references, and interprets the hot research topics.

The source data are derived from the Web of Science (WoS) core collection. To reveal the holistic landscape of this field, VOSviewer and CiteSpace as popular visualization tools are employed to process the bibliographic data including author, category, reference, and keyword. Furthermore, the parameter design of the visualization tools follows the general procedures and methods for bibliometric analysis.

There is an obviously rapid growth in digital humanities research. English is still the leading academic language in this field. The most influential authors all come from or have scientific relationships with Europe and North America, and two leading countries of which are the UK and USA. Digital humanities is the result of a dynamic dialogue between humanistic exploration and digital means. This research field is closely associated with history, literary and cultural heritage, and information and library science.

This analysis relies on the metadata information extracted from the WoS database; however, some valuable literatures in the field of digital humanities may not be retrieved from the database owing to the inherent challenge of topic search. This study is also restricted by the scope of publications, the limitation regarding the source of data is that WoS database may have underrepresented publications in this domain.

The output of this paper could be a valuable reference for researchers and practitioners interesting in the knowledge domain of digital humanities. Moreover, the conclusions of this retrospective analysis can be deemed as the comparable foundation for future study.

With the rapid development of digital humanities, some digital humanities platforms have been successfully developed to support digital humanities research for humanists. However, most of them have still not provided a friendly digital reading environment and practicable social network analysis tool to support humanists on interpreting texts and exploring characters’ social network relationships. Moreover, the advancement of digitization technologies for the retrieval and use of Chinese ancient books is arising an unprecedented challenge and opportunity. For these reasons, this paper aims to present a Chinese ancient books digital humanities research platform (CABDHRP) to support historical China studies. In addition to providing digital archives, digital reading, basic search and advanced search functions for Chinese ancient books, this platform still provides two novel functions that can more effectively support digital humanities research, including an automatic text annotation system (ATAS) for interpreting texts and a character social network relationship map tool (CSNRMT) for exploring characters’ social network relationships.

This study adopted DSpace, an open-source institutional repository system, to serve as a digital archives system for archiving scanned images, metadata, and full texts to develop the CABDHRP for supporting digital humanities (DH) research. Moreover, the ATAS developed in the CABDHRP used the Node.js framework to implement the system’s front- and back-end services, as well as application programming interfaces (APIs) provided by different databases, such as China Biographical Database (CBDB) and TGAZ, used to retrieve the useful linked data (LD) sources for interpreting ancient texts. Also, Neo4j which is an open-source graph database management system was used to implement the CSNRMT of the CABDHRP. Finally, JavaScript and jQuery were applied to develop a monitoring program embedded in the CABDHRP to record the use processes from humanists based on xAPI (experience API). To understand the research participants’ perception when interpreting the historical texts and characters’ social network relationships with the support of ATAS and CSNRMT, semi-structured interviews with 21 research participants were conducted.

An ATAS embedded in the reading interface of CABDHRP can collect resources from different databases through LD for automatically annotating ancient texts to support digital humanities research. It allows the humanists to refer to resources from diverse databases when interpreting ancient texts, as well as provides a friendly text annotation reader for humanists to interpret ancient text through reading. Additionally, the CSNRMT provided by the CABDHRP can semi-automatically identify characters’ names based on Chinese word segmentation technology and humanists’ support to confirm and analyze characters’ social network relationships from Chinese ancient books based on visualizing characters’ social networks as a knowledge graph. The CABDHRP not only can stimulate humanists to explore new viewpoints in a humanistic research, but also can promote the public to emerge the learning interest and awareness of Chinese ancient books.

This study proposed a novel CABDHRP that provides the advanced features, including the automatic word segmentation of Chinese text, automatic Chinese text annotation, semi-automatic character social network analysis and user behavior analysis, that are different from other existed digital humanities platforms. Currently, there is no this kind of digital humanities platform developed for humanists to support digital humanities research.

Digital humanities aim to use a digital-based revolutionary new way to carry out enhanced forms of humanities research more effectively and efficiently. This study develops a character social network relationship map tool (CSNRMT) that can semi-automatically assist digital humanists through human-computer interaction to more efficiently and accurately explore the character social network relationships from Chinese ancient texts for useful research findings.

With a counterbalanced design, semi-structured in-depth interview, and lag sequential analysis, a total of 21 research subjects participated in an experiment to examine the system effectiveness and technology acceptance of adopting the ancient book digital humanities research platform with and without the CSNRMT to interpret the characters and character social network relationships.

The experimental results reveal that the experimental group with the CSNRMT support appears higher system effectiveness on the interpretation of characters and character social network relationships than the control group without the CSNRMT, but does not achieve a statistically significant difference. Encouragingly, the experimental group with the CSNRMT support presents remarkably higher technology acceptance than the control group without the CSNRMT. Furthermore, use behaviors analyzed by lag sequential analysis reveal that the CSNRMT could assist digital humanists in the interpretation of character social network relationships. The results of the interview present positive opinions on the integration of system interface, smoothness of operation, and external search function.

Currently, the system effectiveness of exploring the character social network relationships from texts for useful research findings by using the CSNRMT developed in this study will be significantly affected by the accuracy of recognizing character names and character social network relationships from Chinese ancient texts. The developed CSNRMT will be more practical when the offered information about character names and character social network relationships is more accurate and broad.

This study develops an ancient book digital humanities research platform with an emerging CSNRMT that provides an easy-to-use real-time interaction interface to semi-automatically support digital humanists to perform digital humanities research with the need of exploring character social network relationships.

At present, a real-time social network analysis tool to provide a friendly interaction interface and effectively assist digital humanists in the digital humanities research with character social networks analysis is still lacked. This study thus presents the CSNRMT that can semi-automatically identify character names from Chinese ancient texts and provide an easy-to-use real-time interaction interface for supporting digital humanities research so that digital humanists could more efficiently and accurately establish character social network relationships from the analyzed texts to explore complicated character social networks relationship and find out useful research findings.

Digital humanities research platform for biographies of Malaysia personalities (DHRP-BMP) was collaboratively developed by the Research Center for Chinese Cultural Subjectivity in Taiwan, the Federation of Heng Ann Association Malaysia, and the Malaysian Chinese Research Center of Universiti Malaya in this study. Using The Biographies of Malaysia Henghua Personalities as the main archival sources, DHRP-BMP adopted the Omeka S, which is a next-generation Web publishing platform for institutions interested in connecting digital cultural heritage collections with other resources online, as the basic development system of the platform, to develop the functions of close reading and distant reading both combined together as the foundation of its digital humanities tools.

The results of the first-stage development are introduced in this study, and a case study of qualitative analysis is provided to describe the research process by a humanist scholar who used DHRP-BMP to discover the character relationships and contexts hidden in The Biographies of Malaysia Henghua Personalities.

Close reading provided by DHRP-BMP was able to support humanities scholars on comprehending full text contents through a user-friendly reading interface while distant reading developed in DHRP-BMP could assist humanities scholars on interpreting texts from a rather macro perspective through text analysis, with the functions such as keyword search, geographic information and social networks analysis for humanities scholars to master on the character relationships and geographic distribution from personality biographies, thus accelerating their text interpretation efficiency and uncovering the hidden context.

At present, a digital humanities research platform with real-time characters’ relationships analysis tool that can automatically generate visualized character relationship graphs based on Chinese named entity recognition (CNER) and character relationship identification technologies to effectively assist humanities scholars in interpreting characters’ relationships for digital humanities research is still lacking so far. This study thus presents the DHRP-BMP that offers the key features that can automatically identify characters’ names and characters’ relationships from personality biographies and provide a user-friendly visualization interface of characters’ relationships for supporting digital humanities research, so that humanities scholars could more efficiently and accurately explore characters’ relationships from the analyzed texts to explore complicated characters’ relationships and find out useful research findings.