Abstract
Newspaper archives are some of the richest historical document collections. Their study is, however, very tedious: one needs to physically visit the archives, search through reams of old, very fragile paper, 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 Zürcher 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.
| Original language | English |
|---|---|
| Pages (from-to) | 341-344 |
| Number of pages | 4 |
| Journal | CEUR Workshop Proceedings |
| Volume | 1272 |
| State | Published - 1 Jan 2014 |
| Externally published | Yes |
| Event | ISWC 2014 Posters and Demonstrations Track, ISWC-P and D 2014, 13th International Semantic Web Conference, ISWC 2014 - Riva del Garda, Italy Duration: 21 Oct 2014 → 21 Oct 2014 |
ASJC Scopus subject areas
- General Computer Science