Paper Info
Title
A Geographical Approach for Metadata Quality Improvement in Biological Observation Databases.
Abstract
This paper addresses the problem of improving the quality of metadata in biological observation databases, in particular those associated with observations of living beings, and which are often used as a starting point for biodiversity analyses. Poor quality metadata lead to incorrect scientific conclusions, and can mislead experts. Thus, it is important to design and develop methods to detect and correct metadata quality problems. This is a challenging problem because of the variety of issues concerning such metadata, e.g., misnaming of species, location uncertainty and imprecision concerning where observations were recorded. Related work is limited because it does not adequately model such issues. We propose a geographic approach based on expert-led classification of place and/or range mismatch anomalies detected by our algorithms. Our approach enables detection of anomalies in both species' reported geographic distributions and in species' identification. Our main contribution is our geographic algorithm that deals with uncertain/imprecise locations. Our work is tested using a case study with the Fonoteca Neotropical Jacques Vielliard, one of the 10 largest animal sound collections in the world.
Year
DOI
Venue
2013
10.1109/eScience.2013.14
eScience
Keywords
Field
DocType
geographic distribution,poor quality metadata lead,geographic algorithm,geographic approach,metadata quality improvement,geographical approach,biodiversity analysis,biological observation databases,related work,challenging problem,fonoteca neotropical jacques vielliard,correct metadata quality problem,bioinformatics,meta data
Data science,Metadata quality,Metadata,Data mining,Computer science,Database
Conference
ISSN
Citations 
PageRank 
2325-372X
1
0.37
References 
Authors
9
4
Name
Order
Citations
PageRank
Daniel Cintra Cugler171.19
Claudia Bauzer Medeiros2680138.63
Shashi Shekhar343521098.43
Luís Felipe Toledo450.89