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Article Dans Une Revue EuropeanaTech Insight Année : 2019

Using Automatic Article Detection and Marking Software in Production of Newspaper Clippings of a Digitized Finnish Historical Journalistic Collection

Résumé

It is a common practice that historical newspaper collections are digitized on page level: pages of the physical newspapers are scanned and OCRed and the page images serve as the basic brows- ing and searching unit of the collection. Searches to the collection are made on page level and results are shown on page level to the user. Page, however, is not any kind of basic informational unit of a newspaper, only a typographical or printing unit. Pages consist of articles or news items (and advertisements or notices of different kind, too), although length and form of them can be quite variable. Thus, separation of the article structure of digitized newspaper pages is an im- portant step to improve usability of digital newspaper collections. As the amount of digitized historical journalistic information grows, also good search, browsing and exploration tools for harvesting the information are needed, as these affect usability of the collection. Contents of the collections are one of the key elements of usefulness of the collections, but also presentation of the contents for the user is important. Possibility to use article structure will also improve further analysis stages of the content, such as topic modeling or any other kind of content analysis. Sev- eral digitized historical newspaper collections have implemented article extraction on their pages. Good examples are for example Italian La Stampa, British Newspaper Archive, and Australian Trove. The historical digital newspaper archive environment of the National Library of Finland is based on commercial docWorks software. The software is capable of article detection and ex- traction, but our material does not seem to behave well in the system in this respect. We have not been able to produce good article segmentation with docWorks, although such work has been accomplished e.g. in the Europeana Newspaper framework. However, we have recently produced article separation and marking on pages of one newspaper, Uusi Suometar, by using article ex- traction software named PIVAJ developed in the LITIS laboratory of University of Rouen Nor- mandy [1]. In this article we describe intended use of the extracted articles in our digital library presentation system, digi.kansalliskirjasto.fi (Digi), as newspaper clippings which can be col- lected by the user out of the markings of the article extraction software.
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hal-04485545 , version 1 (01-03-2024)

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  • HAL Id : hal-04485545 , version 1

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Kimmo Kettunen, Pierrick Tranouez, Tuula Pääkkönen, Erno Samuli Liukkonen, Daniel Antelme, et al.. Using Automatic Article Detection and Marking Software in Production of Newspaper Clippings of a Digitized Finnish Historical Journalistic Collection. EuropeanaTech Insight, 2019, 13. ⟨hal-04485545⟩
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