Paper Info
Title
Linking Historical Ship Records to a Newspaper Archive.
Abstract
Linking historical datasets and making them available on the Web has increasingly become a subject of research in the field of digital humanities. In this paper, we focus on discovering links between ships from a dataset of Dutch maritime events and a historical archive of newspaper articles. We apply a heuristic-based method for finding and filtering links between ship instances; subsequently, we use machine learning for article classification to be used for enhanced filtering in combination with domain features. We evaluate the resulting links, using manually annotated samples as gold standard. The resulting links are made available as Linked Open Data, thus enriching the original data.
Year
DOI
Venue
2014
10.1007/978-3-319-15168-7_32
Lecture Notes in Computer Science
Keywords
Field
DocType
Text classification,Machine learning,Record linkage,Entity linkage,Historical research,Digital humanities,Digital history
Data mining,Heuristic,Information retrieval,Computer science,Linked data,Newspaper,Comparative historical research,Digital history
Conference
Volume
ISSN
Citations 
8852
0302-9743
0
PageRank 
References 
Authors
0.34
18
3
Name
Order
Citations
PageRank
Andrea Bravo Balado100.34
Victor de Boer218129.78
Guus Schreiber31448150.58