TY  - JOUR
A1  - Tahmasebi, Nina
A1  - Borin, Lars
A1  - Capannini, Gabriele
A1  - Dubhashi, Devdatt
A1  - Exner, Peter
A1  - Forsberg, Markus
A1  - Gossen, Gerhard
A1  - Johansson, Fredrik D.
A1  - Johansson, Richard
A1  - Kågebäck, Mikael
A1  - Mogren, Olof
A1  - Nugues, Pierre
A1  - Risse, Thomas
T1  - Visions and open challenges for a knowledge-based culturomics
T2  - International journal on digital libraries
N2  - The concept of culturomics was born out of the availability of massive amounts of textual data and the interest to make sense of cultural and language phenomena over time. Thus far however, culturomics has only made use of, and shown the great potential of, statistical methods. In this paper, we present a vision for a knowledge-based culturomics that complements traditional culturomics. We discuss the possibilities and challenges of combining knowledge-based methods with statistical methods and address major challenges that arise due to the nature of the data; diversity of sources, changes in language over time as well as temporal dynamics of information in general. We address all layers needed for knowledge-based culturomics, from natural language processing and relations to summaries and opinions.
KW  - Culturomics
KW  - Statistical analysis
KW  - Knowledgebased analysis
KW  - Temporal text analysis
KW  - Digital humanities
KW  - eScience
KW  - eInfrastructure
KW  - Natural language processing
Y1  - 2015
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/53649
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-536497
SN  - 1432-1300
SN  - 1432-5012
N1  - Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
VL  - 15
SP  - 169
EP  - 187
PB  - Springer
CY  - Berlin ; Heidelberg ; New York
ER  -