Discovering emerging topics in textual corpora of galleries, libraries, archives, and museums institutions

Candela, Gustavo; Carrasco, Rafael C.

doi:10.1002/asi.24583

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…A methodology to extract and rank biomedical terms was tested in the related biomedical domain using linguistic, statistical, graphic and web measures (Lossio-Ventura et al , 2016). A computational procedure to identify emerging topics in periodical materials was proposed and tested in the context of the gallery, library, archive and museum institutions (Candela and Carrasco, 2021). Text-based entity extraction and information retrieval from publications were also applied in engineering (a mining project) (Tomašević et al , 2018), materials science (Zhao et al , 2021) and in the nuclear domain using 120 documents retrieved from the Scopus database (Desul et al , 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Framework for entity extraction with verification: application to inference of data set usage in research publications

Nestorov

Bačić

Jukić

et al. 2022

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Purpose The purpose of this paper is to propose an extensible framework for extracting data set usage from research articles. Design/methodology/approach The framework uses a training set of manually labeled examples to identify word features surrounding data set usage references. Using the word features and general entity identifiers, candidate data sets are extracted and scored separately at the sentence and document levels. Finally, the extracted data set references can be verified by the authors using a web-based verification module. Findings This paper successfully addresses a significant gap in entity extraction literature by focusing on data set extraction. In the process, this paper: identified an entity-extraction scenario with specific characteristics that enable a multiphase approach, including a feasible author-verification step; defined the search space for word feature identification; defined scoring functions for sentences and documents; and designed a simple web-based author verification step. The framework is successfully tested on 178 articles authored by researchers from a large research organization. Originality/value Whereas previous approaches focused on completely automated large-scale entity recognition from text snippets, the proposed framework is designed for a longer, high-quality text, such as a research publication. The framework includes a verification module that enables the request validation of the discovered entities by the authors of the research publications. This module shares some similarities with general crowdsourcing approaches, but the target scenario increases the likelihood of meaningful author participation.

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Section: Literature Reviewmentioning

confidence: 99%

Framework for entity extraction with verification: application to inference of data set usage in research publications

Nestorov

Bačić

Jukić

et al. 2022

View full text Add to dashboard Cite

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A checklist to publish collections as data in GLAM institutions

Candela,

Gabriëls,

Chambers

et al. 2023

GKMC

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PurposeThe purpose of this study is to offer a checklist that can be used for both creating and evaluating digital collections, which are also sometimes referred to as data sets as part of the collections as data movement, suitable for computational use.Design/methodology/approachThe checklist was built by synthesising and analysing the results of relevant research literature, articles and studies and the issues and needs obtained in an observational study. The checklist was tested and applied both as a tool for assessing a selection of digital collections made available by galleries, libraries, archives and museums (GLAM) institutions as proof of concept and as a supporting tool for creating collections as data.FindingsOver the past few years, there has been a growing interest in making available digital collections published by GLAM organisations for computational use. Based on previous work, the authors defined a methodology to build a checklist for the publication of Collections as data. The authors’ evaluation showed several examples of applications that can be useful to encourage other institutions to publish their digital collections for computational use.Originality/valueWhile some work on making available digital collections suitable for computational use exists, giving particular attention to data quality, planning and experimentation, to the best of the authors’ knowledge, none of the work to date provides an easy-to-follow and robust checklist to publish collection data sets in GLAM institutions. This checklist intends to encourage small- and medium-sized institutions to adopt the collection as data principles in daily workflows following best practices and guidelines.

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Discovering emerging topics in textual corpora of galleries, libraries, archives, and museums institutions

Cited by 2 publications

References 19 publications

Framework for entity extraction with verification: application to inference of data set usage in research publications

Framework for entity extraction with verification: application to inference of data set usage in research publications

A checklist to publish collections as data in GLAM institutions

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