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This research paper explores the roles of electronic texts in research projects in the humanities and seeks to deepen the understanding of the nature of scholars' engagement with e-texts. The study used qualitative methodology to explore engagement of scholars in literary and historical studies with primary materials in electronic form (i.e., e-texts). The study revealed a range of scholars' interactions with e-texts during the whole research process. It uncovered a particular pattern of information-seeking practices in electronic environments called netchaining and the main types of uses and contributions of e-texts to research projects. It was found that e-texts play support and substantive roles in the research process. A number of influences from electronic environment are identified as challenges and aids in working with e-texts. The study does not have statistical significance. It indicates a need for further research into scholarly practices, training requirements, and new forms of service provision. Study results are relevant for the development of digital collections, information services, educational programs, and other forms of support for the use of technology in research. The results can be also used to inform approaches to text encoding and development of electronic information systems and have implications for organizational and industry policies. The study found a range of scholars' interactions and forms of intellectual engagement with e-texts that were not documented and analyzed by earlier studies. It provides insights into disciplinary variations in the humanities and contributes to the understanding of scholarly change catalyzed by information technology.

With the rise of alternate discovery services, such as Google Scholar, in conjunction with the increase in open access content, researchers have the option to bypass academic libraries when they search for and retrieve scholarly information. This state of affairs implies that academic libraries exist in competition with these alternate services and with the patrons who use them, and as a result, may be disintermediated from the scholarly information seeking and retrieval process. Drawing from decision and game theory, bounded rationality, information seeking theory, citation theory, and social computing theory, this study investigates how academic librarians are responding as competitors to changing scholarly information seeking and collecting practices. Bibliographic data was collected in 2010 from a systematic random sample of references on CiteULike.org and analyzed with three years of bibliometric data collected from Google Scholar. Findings suggest that although scholars may choose to bypass libraries when they seek scholarly information, academic libraries continue to provide a majority of scholarly documentation needs through open access and institutional repositories. Overall, the results indicate that academic librarians are playing the scholarly communication game competitively.

The purpose of this paper is to explore roles of electronic texts (e‐texts) in research enquiry in literary and historical studies, and to deepen the understanding of the nature of scholars' engagement with e‐texts as primary materials. The study includes an investigation of references to e‐texts and discussions about researchers' citation practices in interviews.

Qualitative methodology was used to explore scholars' interactions with e‐texts in 30 research projects. A combination of quantitative and qualitative methods was used to examine citations and any other acknowledgments of e‐texts in participants' prepublications and published works. In‐depth semi‐structured interviews provided data for findings about researchers' citation practices.

Formal acknowledgments of e‐texts do not represent the depth and breadth of researchers' interactions with e‐texts. Assessments of the relevance and trustworthiness of e‐texts, as well as considerations of disciplinary cultures, had some impact on researchers' citation practices.

The study was based on in‐depth data‐gathering from a small group of participants. It does not have any statistical significance and the findings cannot be generalized, but comparisons with other scholars in literary and historical studies are possible. The study indicated a need for further investigation of changing academic practices in general and citation practices in particular.

The findings have implications for the development of standards and institutional support for research in the humanities.

The study provides new insights into the phenomenon of a very small number of citations of electronic sources in publications in the humanities, and considers issues related to citations from the perspective of changing academic cultures.

The following classified, annotated list of titles is intended to provide reference librarians with a current checklist of new reference books, and is designed to supplement the RSR review column, “Recent Reference Books,” by Frances Neel Cheney. “Reference Books in Print” includes all additional books received prior to the inclusion deadline established for this issue. Appearance in this column does not preclude a later review in RSR. Publishers are urged to send a copy of all new reference books directly to RSR as soon as published, for immediate listing in “Reference Books in Print.” Reference books with imprints older than two years will not be included (with the exception of current reprints or older books newly acquired for distribution by another publisher). The column shall also occasionally include library science or other library related publications of other than a reference character.

This work shows the results of a systematic literature review on biomedical text mining. The purpose of this study is to identify the different text mining approaches used in different application areas of the biomedical domain, the common tools used and the challenges of biomedical text mining as compared to generic text mining algorithms. This study will be of value to biomedical researchers by allowing them to correlate text mining approaches to specific biomedical application areas. Implications for future research are also discussed.

The review was conducted following the principles of the Kitchenham method. A number of research questions were first formulated, followed by the definition of the search strategy. The papers were then selected based on a list of assessment criteria. Each of the papers were analyzed and information relevant to the research questions were extracted.

It was found that researchers have mostly harnessed data sources such as electronic health records, biomedical literature, social media and health-related forums. The most common text mining technique was natural language processing using tools such as MetaMap and Unstructured Information Management Architecture, alongside the use of medical terminologies such as Unified Medical Language System. The main application area was the detection of adverse drug events. Challenges identified included the need to deal with huge amounts of text, the heterogeneity of the different data sources, the duality of meaning of words in biomedical text and the amount of noise introduced mainly from social media and health-related forums.

To the best of the authors’ knowledge, other reviews in this area have focused on either specific techniques, specific application areas or specific data sources. The results of this review will help researchers to correlate most relevant and recent advances in text mining approaches to specific biomedical application areas by providing an up-to-date and holistic view of work done in this research area. The use of emerging text mining techniques has great potential to spur the development of innovative applications, thus considerably impacting on the advancement of biomedical research.

The purpose of this paper is to understand the needs of humanists with respect to information and communication technology (ICT) in order to prescribe the design of an e‐humanist's workbench.

A web‐based survey comprising over 60 questions gathered the following data from 169 humanists: profile of the humanist, use of ICT in teaching, e‐texts, text analysis tools, access to and use of primary and secondary sources, and use of collaboration and communication tools.

Humanists conduct varied forms of research and use multiple techniques. They rely on the availability of inexpensive, quality‐controlled e‐texts for their research. The existence of primary sources in digital form influences the type of research conducted. They are unaware of existing tools for conducting text analyses, but expressed a need for better tools. Search engines have replaced the library catalogue as the key access tool for sources. Research continues to be solitary with little collaboration among scholars.

The results are based on a self‐selected sample of humanists who responded to a web‐based survey. Future research needs to examine the work of the scholar at a more detailed level, preferably through observation and/or interviewing.

The findings support a five‐part framework that could serve as the basis for the design of an e‐humanist's workbench.

The paper examines the needs of the humanist, founded on an integration of information science research and humanities computing for a more comprehensive understanding of the humanist at work.

An automatic text annotation system (ATAS) that can collect resources from different databases through Linked Data (LD) for automatically annotating ancient texts was developed in this study to support digital humanities research. It allows the humanists referring to resources from diverse databases when interpreting ancient texts as well as provides a friendly text annotation reader for humanists interpreting ancient text through reading. The paper aims to discuss whether the ATAS is helpful to support digital humanities research or not.

Based on the quasi-experimental design, the ATAS developed in this study and MARKUS semi-ATAS were compared whether the significant differences in the reading effectiveness and technology acceptance for supporting humanists interpreting ancient text of the Ming dynasty’s collections existed or not. Additionally, lag sequential analysis was also used to analyze users’ operation behaviors on the ATAS. A semi-structured in-depth interview was also applied to understand users’ opinions and perception of using the ATAS to interpret ancient texts through reading.

The experimental results reveal that the ATAS has higher reading effectiveness than MARKUS semi-ATAS, but not reaching the statistically significant difference. The technology acceptance of the ATAS is significantly higher than that of MARKUS semi-ATAS. Particularly, the function comparison of the two systems shows that the ATAS presents more perceived ease of use on the functions of term search, connection to source websites and adding annotation than MARKUS semi-ATAS. Furthermore, the reading interface of ATAS is simple and understandable and is more suitable for reading than MARKUS semi-ATAS. Among all the considered LD sources, Moedict, which is an online Chinese dictionary, was confirmed as the most helpful one.

This study adopted Jieba Chinese parser to perform the word segmentation process based on a parser lexicon for the Chinese ancient texts of the Ming dynasty’s collections. The accuracy of word segmentation to a lexicon-based Chinese parser is limited due to ignoring the grammar and semantics of ancient texts. Moreover, the original parser lexicon used in Jieba Chinese parser only contains the modern words. This will reduce the accuracy of word segmentation for Chinese ancient texts. The two limitations that affect Jieba Chinese parser to correctly perform the word segmentation process for Chinese ancient texts will significantly affect the effectiveness of using ATAS to support digital humanities research. This study thus proposed a practicable scheme by adding new terms into the parser lexicon based on humanists’ self-judgment to improve the accuracy of word segmentation of Jieba Chinese parser.

Although some digital humanities platforms have been successfully developed to support digital humanities research for humanists, most of them have still not provided a friendly digital reading environment to support humanists on interpreting texts. For this reason, this study developed an ATAS that can automatically retrieve LD sources from different databases on the Internet to supply rich annotation information on reading texts to help humanists interpret texts. This study brings digital humanities research to a new ground.

This study proposed a novel ATAS that can automatically annotate useful information on an ancient text to increase the readability of the ancient text based on LD sources from different databases, thus helping humanists obtain a deeper and broader understanding in the ancient text. Currently, there is no this kind of tool developed for humanists to support digital humanities research.

Developments in the technology of electronic transmission of information are rapidly transforming the tools available to the general public for gathering information about current events. Direct access to news and retrieval of bibliographic information pertaining to traditional printed news sources are a daily reality for a growing number of individuals, on the job, at home, through personal computer terminals or at libraries. The purpose of this paper is to examine the characteristics of electronic databases providing access to news, as well as applications of these tools to various library settings.