LibraryThing for Libraries: How Tag Moderation and Size Limitations Affect Tag Clouds

Johansson, Sandra; Golub, Koraljka

doi:10.5771/0943-7444-2019-4-245

Cited by 3 publications

(2 citation statements)

References 22 publications

(36 reference statements)

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“…This implies the need to address more subjective aspects of literary fiction known as "appeal characteristics" (Saricks & Wyatt, 2019) such as pacing, characterization, storyline, frame/setting, tone, and language/style. Many libraries therefore import social tag clouds for works of fiction from LibraryThing (Johansson & Golub, 2019).…”

Section: Discovering Lgbtqi Fictionmentioning

confidence: 99%

Subject-based knowledge organisation: An OER for supporting (digital) humanities research

Pestana

Golub

2023

EFI

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Humanities scholars can today engage in research inquiry using data from a range of varied collections which are often characterised by poor subject access, often resulting in systems that underperform and even effectively prevent access to data, information and knowledge. In spite of the availability of professional standards and guidelines to provide quality-controlled subject access through knowledge organisation systems (KOS), subject access in such collections is rarely based on KOS. At the same time, KOS themselves may come with problems such as being slow to update, being rigidly structured and not incorporating end-users’ vocabulary. It may therefore be useful to consider methods for remediating these deficiencies in KOSs, such as collecting user-generated metadata via social tagging or complementing automated indexing techniques with manual ones. To help address the above problems, the paper discusses these challenges and points to possible solutions in different contexts. It does so by reflecting on an open educational resource (OER) devoted to this theme, titled Introduction to Knowledge Organisation Systems for Digital Humanities. It was developed as part of an EU project called DiMPAH (Digital Methods Platform for the Arts and Humanities), 2021–2023, creating seven OERs for inclusion in DARIAH Teach.

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Section: Discovering Lgbtqi Fictionmentioning

confidence: 99%

Subject-based knowledge organisation: An OER for supporting (digital) humanities research

Pestana

Golub

2023

EFI

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“…Data mining is the technique to establish a meaningful model for analyzing, studying and summarizing the latent rules that are originally hidden in the large amounts of complex data [18,19]. By using the intelligent computing methods, the theory of statistics and the database technology, data mining requires to make classification tags in advance, which are a set of categories with different characteristics [20]. Most researchers have begun to use statistical methods and some intelligent principles to predict students' behaviors in digital campus living, to make reasonable decisions to explore the internal connections of the data [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Empirical study of college students’ extracurricular reading preference by functional data analysis of the library book borrowing behavior

Zhang,

Liu,

Song

et al. 2024

PLoS ONE

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Library data contains many students’ reading records that reflect their general knowledge acquisition. The purpose of this study is to deeply mine the library book-borrowing data, with concerns on different book catalogues and properties to predict the students’ extracurricular interests. An intelligent computing framework is proposed by the fusion of a neural network architecture and a partial differential equations (PDE) function module. In model designs, the architecture is constructed as an adaptive learning backpropagation neural network (BPNN), with automatic tuning of its hyperparameters. The PDE module is embedded into the network structure to enhance the loss functions of each neural perceptron. For model evaluation, a novel comprehensive index is designed using the calculus of information entropy. Empirical experiments are conducted on a diverse and multimodal time-series dataset of library book borrowing records to demonstrate the effectiveness of the proposed methodology. Results validate that the proposed framework is capable of revealing the students’ extracurricular reading interests by processing related book borrowing records, and expected to be applied to “big data” analysis for a wide range of various libraries.

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Searching for Swedish LGBTQI fiction: challenges and solutions

Golub

Bergenmar

Humelsjö

2022

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PurposeThe purpose of this study is to investigate the needs of potential end-users of a database dedicated to Swedish lesbian, gay, bisexual, transgender, queer, and intersex (LGBTQI) literature (e.g. prose, poetry, drama, graphic novels/comics, and illustrated books), in order to inform the development of a database, search interface functionalities, and an LGBTQI thesaurus for fiction.Design/methodology/approachA web questionnaire was distributed in autumn 2021 to potential end-users. The questions covered people's reasons for reading LGBTQI fiction, ways of finding LGBTQI fiction, experience of searching for LGBTQI fiction, usual search elements applied, latest search for LGBTQI fiction, desired subjects to search for, and ideal search functionalities.FindingsThe 101 completed questionnaires showed that most respondents found relevant literature through social media or friends and that most obtained copies of literature from a library. Regarding desirable search functionalities, most respondents would like to see suggestions for related terms to support broader search results (i.e. higher recall). Many also wanted search support that would enable retrieving more specific results based on narrower terms when too many results are retrieved (i.e. higher precision). Over half would also appreciate the option to browse by hierarchically arranged subjects.Originality/valueThis study is the first to show how readers of LGBTQI fiction in Sweden search for and obtain relevant literature. The authors have identified end-user needs that can inform the development of a new database and a thesaurus dedicated to LGBTQI fiction.

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LibraryThing for Libraries: How Tag Moderation and Size Limitations Affect Tag Clouds

Cited by 3 publications

References 22 publications

Subject-based knowledge organisation: An OER for supporting (digital) humanities research

Subject-based knowledge organisation: An OER for supporting (digital) humanities research

Empirical study of college students’ extracurricular reading preference by functional data analysis of the library book borrowing behavior

Searching for Swedish LGBTQI fiction: challenges and solutions

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