Semantic Culturomics (vision paper) - Archive ouverte HAL Access content directly
Conference Papers Year :

Semantic Culturomics (vision paper)

(1) , (2)
1
2

Abstract

Newspapers are testimonials of history. The same is increasingly true of social media such as online forums, online communities , and blogs. By looking at the sequence of articles over time, one can discover the birth and the development of trends that marked society and history – a field known as " Culturomics ". But Culturomics has so far been limited to statistics on keywords. In this vision paper, we argue that the advent of large knowledge bases (such as YAGO [37], NELL [5], DBpedia [3], and Freebase) will revolutionize the field. If their knowledge is combined with the news articles, it can breathe life into what is otherwise just a sequence of words for a machine. This will allow discovering trends in history and culture, explaining them through explicit logical rules, and making predictions about the events of the future. We predict that this could open up a new field of research , " Semantic Culturomics " , in which no longer human text helps machines build up knowledge bases, but knowledge bases help humans understand their society.
Fichier principal
Vignette du fichier
vldb2014vision.pdf (203.54 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

hal-01699886 , version 1 (02-02-2018)

Identifiers

  • HAL Id : hal-01699886 , version 1

Cite

Fabian M. Suchanek, Nicoleta Preda. Semantic Culturomics (vision paper). 40th International Conference on Very Large Data Bases, Sep 2014, Hangzhou, China. pp.1215-1218. ⟨hal-01699886⟩
80 View
70 Download

Share

Gmail Facebook Twitter LinkedIn More