Beyond the Book: Linking Books to Wikipedia

Autor: Karina van Dalen-Oskam, Marijn Koolen, Carlos Martinez-Ortiz, Floor Buschenhenke
Přispěvatelé: Faculteit der Geesteswetenschappen, Language and Computation (ILLC, FNWI/FGw), ILLC (FGw), Letterkunde (HI)
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: Proceedings, 11th IEEE International Conference on eScience: 31 August-4 September 2015, Munich, Germany, 12-21
STARTPAGE=12;ENDPAGE=21;TITLE=Proceedings, 11th IEEE International Conference on eScience
e-Science
STARTPAGE=12;ENDPAGE=21;TITLE=2015 IEEE 11th International Conference on eScience
Popis: The book translation market is a topic of interest in literary studies, but the reasons why a book is selected for translation are not well understood. The "Beyond the Book" project investigates whether web resources like Wikipedia can be used to establish the level of cultural bias. This work describes the eScience tools used to estimate the cultural appeal of a book: semantic linking is used to identify key words in the text of the book, and afterwards the revision information from corresponding Wikipedia articles is examined to identify countries that generated a more than average amount of contributions to those articles. Comparison between the number of contributions from two countries on the same set of articles may show with which knowledge the contributors are familiar. We assume a lack of contributions from a country may indicate a gap in the knowledge of readers from that country. We assume that a book dealing with that concept could be more exotic and therefore more appealing for certain readers, while others are therefore less interested in the book. An indication of the 'level of exoticness' thus could help a reader/publisher to decide to read/translate the book or not. Experimental results are presented for four selected books from a set of 564 books written in Dutch or translated into Dutch, assessing their potential appeal for a Canadian audience. A qualitative assessment of quantitative results provides insight into named entities that may indicate a high/low cultural bias towards a book.
Databáze: OpenAIRE