Paper Info
Title
Semantic Culturomics (Vision Paper)
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.
Year
DOI
Venue
2014
10.14778/2732977.2732994
PROCEEDINGS OF THE VLDB ENDOWMENT
Field
DocType
Volume
Data science,Computer vision,Social media,Computer science,Logical rules,Culturomics,Newspaper,Artificial intelligence,Database
Journal
7
Issue
ISSN
Citations 
12
2150-8097
1
PageRank 
References 
Authors
0.35
34
2
Name
Order
Citations
PageRank
Fabian M. Suchanek13900188.75
Nicoleta Preda217314.40