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SHAX: The Semantic Historical Archive eXplorer


Feldman, Michael; Gao, Shen; Novel, Marc; Papaioannou, Katerina; Bernstein, Abraham (2014). SHAX: The Semantic Historical Archive eXplorer. In: The 13th International Semantic Web Conference, Riva del Garda, Trentino, Italy, 19 October 2014 - 23 October 2014.

Abstract

Newspaper archives are some of the richest historical doc- ument collections. Their study is, however, very tedious: one needs to physically visit the archives, search through reams of old, very fragile pa- per, and manually assemble cross-references. We present Shax, a visual newspaper-archive exploration tool that takes large, historical archives as an input and allows interested parties to browse the information included in a chronological or geographic manner so as to re-discover history. We used Shax on a selection of the Neue Zu ̈rcher Zeitung (NZZ)—the longest continuously published German newspaper in Switzerland with archives going back to 1780. Specifically, we took the highly noisy OCRed text segments, extracted pertinent entities, geolocation, as well as temporal information, linked them with the Linked Open Data cloud, and built a browser-based exploration platform.
This platform enables users to interactively browse the 111906 newspaper pages published from 1910 to 1920 and containing historic events such as World War I (WWI) and the Russian Revolution. Note that Shax is neither limited to this newspaper nor to this time-period or language but exemplifies the power in combining semantic technologies with an exceptional dataset.

Abstract

Newspaper archives are some of the richest historical doc- ument collections. Their study is, however, very tedious: one needs to physically visit the archives, search through reams of old, very fragile pa- per, and manually assemble cross-references. We present Shax, a visual newspaper-archive exploration tool that takes large, historical archives as an input and allows interested parties to browse the information included in a chronological or geographic manner so as to re-discover history. We used Shax on a selection of the Neue Zu ̈rcher Zeitung (NZZ)—the longest continuously published German newspaper in Switzerland with archives going back to 1780. Specifically, we took the highly noisy OCRed text segments, extracted pertinent entities, geolocation, as well as temporal information, linked them with the Linked Open Data cloud, and built a browser-based exploration platform.
This platform enables users to interactively browse the 111906 newspaper pages published from 1910 to 1920 and containing historic events such as World War I (WWI) and the Russian Revolution. Note that Shax is neither limited to this newspaper nor to this time-period or language but exemplifies the power in combining semantic technologies with an exceptional dataset.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:23 October 2014
Deposited On:23 Sep 2014 15:36
Last Modified:05 Apr 2016 18:22
Publisher:s.n.
Other Identification Number:merlin-id:10029

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