Historical Newspaper User Interfaces: A Review

Ehrmann, Maud; Bunout, Estelle; Düring, Marten

doi:10.5281/zenodo.3404155

Cited by 3 publications

(5 citation statements)

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“…Digital labs in libraries are emerging as investigative areas that aim at helping different kinds of users to experiment with digital content “through competitions, awards, projects, exhibitions, and other engagement activities” (Chambers et al, 2019 ). The labs, but also the use of tools existing outside the library environment, could help to address growing user expectations toward text mining methods (Ehrmann et al, 2019 ) without complicating the uses of archival material within the libraries. The challenge here remains that tools developed in research projects are usually tested with small datasets as compared to digital collections in libraries—an issue that was also found to be true for the NewsEye team.…”

Section: Digital Cultural Heritage At the Intersection Of (Digital) H...mentioning

confidence: 99%

“…With data dumps of full texts (for methods to create digital collections as data set see Candela et al, 2020 ), the possibilities to quantitatively analyze and visualize frequency‐related issues are almost endless, but demand data handling skills and generally require collaboration between scholars with domain expertise and computer science know‐how. However, bespoken interfaces for particular newspaper collections generally provide some possibilities for researchers to evaluate language use patterns (Ehrmann et al, 2019 ; Pfanzelter et al, 2021 ). Nevertheless, reasons for changes in frequencies vary and making sense of them often requires possibilities to explore the frequencies from different perspectives.…”

Section: Interdisciplinary Digital Hermeneutics In Action: Three Exam...mentioning

confidence: 99%

“…With the Europeana newspapers thematic collection, there is now a pan‐European newspaper portal available, giving access to 18 million newspaper pages of which 10 million pages were converted to full text. 1 As this process of digitization continues, increasingly advanced techniques from the field of natural language processing (NLP) promise to optimize the historians' access to full‐text archives (Ehrmann et al, 2019 ). For the promise to come true, disciplinary research approaches from libraries, humanities, and computer science need to be replaced by interdisciplinary ones.…”

Section: Introductionmentioning

confidence: 99%

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Integrated interdisciplinary workflows for research on historical newspapers: Perspectives from humanities scholars, computer scientists, and librarians

Oberbichler

Boroş

Doucet

et al. 2021

Asso for Info Science & Tech

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This article considers the interdisciplinary opportunities and challenges of working with digital cultural heritage, such as digitized historical newspapers, and proposes an integrated digital hermeneutics workflow to combine purely disciplinary research approaches from computer science, humanities, and library work. Common interests and motivations of the above-mentioned disciplines have resulted in interdisciplinary projects and collaborations such as the NewsEye project, which is working on novel solutions on how digital heritage data is (re)searched, accessed, used, and analyzed. We argue that collaborations of different disciplines can benefit from a good understanding of the workflows and traditions of each of the disciplines involved but must find integrated approaches to successfully exploit the full potential of digitized sources.The paper is furthermore providing an insight into digital tools, methods, and hermeneutics in action, showing that integrated interdisciplinary research needs to build something in between the disciplines while respecting and understanding each other's expertise and expectations.

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Section: Digital Cultural Heritage At the Intersection Of (Digital) H...mentioning

confidence: 99%

Section: Interdisciplinary Digital Hermeneutics In Action: Three Exam...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Integrated interdisciplinary workflows for research on historical newspapers: Perspectives from humanities scholars, computer scientists, and librarians

Oberbichler

Boroş

Doucet

et al. 2021

Asso for Info Science & Tech

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“…Key to these projects is improving the searchability of digitized newspaper collections. The purpose of the Impresso project was to conduct extensive research to evaluate newspaper user interfaces (Ehrmann, 2019) [10], and as a result developed a researcher centered search interface: the Impresso App [11]. The European project NewsEye has developed a digital investigator [12] for historical newspapers that enables article-level search and allows researchers to create and extract datasets based on their specific research questions.…”

Section: Introductionmentioning

confidence: 99%

Computer vision and machine learning approaches for metadata enrichment to improve searchability of historical newspaper collections

Ali

Milleville²,

Verstockt³

et al. 2023

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PurposeHistorical newspaper collections provide a wealth of information about the past. Although the digitization of these collections significantly improves their accessibility, a large portion of digitized historical newspaper collections, such as those of KBR, the Royal Library of Belgium, are not yet searchable at article-level. However, recent developments in AI-based research methods, such as document layout analysis, have the potential for further enriching the metadata to improve the searchability of these historical newspaper collections. This paper aims to discuss the aforementioned issue.Design/methodology/approachIn this paper, the authors explore how existing computer vision and machine learning approaches can be used to improve access to digitized historical newspapers. To do this, the authors propose a workflow, using computer vision and machine learning approaches to (1) provide article-level access to digitized historical newspaper collections using document layout analysis, (2) extract specific types of articles (e.g. feuilletons – literary supplements from Le Peuple from 1938), (3) conduct image similarity analysis using (un)supervised classification methods and (4) perform named entity recognition (NER) to link the extracted information to open data.FindingsThe results show that the proposed workflow improves the accessibility and searchability of digitized historical newspapers, and also contributes to the building of corpora for digital humanities research. The AI-based methods enable automatic extraction of feuilletons, clustering of similar images and dynamic linking of related articles.Originality/valueThe proposed workflow enables automatic extraction of articles, including detection of a specific type of article, such as a feuilleton or literary supplement. This is particularly valuable for humanities researchers as it improves the searchability of these collections and enables corpora to be built around specific themes. Article-level access to, and improved searchability of, KBR's digitized newspapers are demonstrated through the online tool (https://tw06v072.ugent.be/kbr/).

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“…Along the same line, several user studies emphasise the role of entities in various phases of the information-seeking workflow of historians [47,71], now also reflected in the 'must-have' of exploration interfaces, e.g. as search facets over historical newspapers [49,145] or as automatic suggestions over large-scale cultural heritage records [72]. Besides document indexing, named entity recognition can also benefit downstream processes (e.g.…”

Section: Introductionmentioning

confidence: 99%

Named Entity Recognition and Classification on Historical Documents: A Survey

Ehrmann¹,

Hamdi²,

Pontes³

et al. 2021

Preprint

Self Cite

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After decades of massive digitisation, an unprecedented amount of historical documents is available in digital format, along with their machine-readable texts. While this represents a major step forward with respect to preservation and accessibility, it also opens up new opportunities in terms of content mining and the next fundamental challenge is to develop appropriate technologies to efficiently search, retrieve and explore information from this 'big data of the past'. Among semantic indexing opportunities, the recognition and classification of named entities are in great demand among humanities scholars. Yet, named entity recognition (NER) systems are heavily challenged with diverse, historical and noisy inputs. In this survey, we present the array of challenges posed by historical documents to NER, inventory existing resources, describe the main approaches deployed so far, and identify key priorities for future developments.

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Historical Newspaper User Interfaces: A Review

Cited by 3 publications

References 7 publications

Integrated interdisciplinary workflows for research on historical newspapers: Perspectives from humanities scholars, computer scientists, and librarians

Integrated interdisciplinary workflows for research on historical newspapers: Perspectives from humanities scholars, computer scientists, and librarians

Computer vision and machine learning approaches for metadata enrichment to improve searchability of historical newspaper collections

Named Entity Recognition and Classification on Historical Documents: A Survey

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