Title
HiDER : query-driven entity resolution for historical data HiDER : query-driven entity resolution for historical data
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Publication type
article
Publication
Subject
Engineering sciences. Technology
Computer. Automation
Source (journal)
Lecture notes in computer science
Volume/pages
9286(2015) , p. 281-284
ISSN
0302-9743
ISI
000363667400033
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Abstract
Entity Resolution (ER) is the task of finding references that refer to the same entity across different data sources. Cleaning a data warehouse and applying ER on it is a computationally demanding task, particularly for large data sets that change dynamically. Therefore, a query-driven approach which analyses a small subset of the entire data set and integrates the results in real-time is significantly beneficial. Here, we present an interactive tool, called HiDER, which allows for query-driven ER in large collections of uncertain dynamic historical data. The input data includes civil registers such as birth, marriage and death certificates in the form of structured data, and notarial acts such as estate tax and property transfers in the form of free text. The outputs are family networks and event timelines visualized in an integrated way. The HiDER is being used and tested at BHIC center(Brabant Historical Information Center, https://www.bhic.nl); despite the uncertainties of the BHIC input data, the extracted entities have high certainty and are enriched by extra information.
E-info
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