Paper Info
Title
Improving Access to Big Data in Agriculture and Forestry Using Semantic Technologies.
Abstract
To better understand and manage the interactions of agriculture and natural resources, for example under current increasing societal demands and climate changes, agro-environmental research must bring together an ever growing amount of data and information from multiple science domains. Data that is inherently large, multi-dimensional and heterogeneous, and requires computational intensive processing. Thus, agro-environmental researchers must deal with specific Big Data challenges in efficiently acquiring the data fit to their job while limiting the amount of computational, network and storage resources needed to practical levels. Automated procedures for collection, selection, annotation and indexing of data and metadata are indispensable in order to be able to effectively exploit the global network of available scientific information. This paper describes work performed in the EU FP7 Trees4Future and SemaGrow projects that contributes to development and evaluation of an infrastructure that allows efficient discovery and unified querying of agricultural and forestry resources using Linked Data and semantic technologies.
Year
DOI
Venue
2015
10.1007/978-3-319-24129-6_32
Communications in Computer and Information Science
Keywords
Field
DocType
Semantic technologies,Metadata,Big data,Forestry,Agriculture
Data science,Data mining,Semantic technology,Global network,Computer science,Linked data,Knowledge management,Natural resource,Metadata,Exploit,Forestry,Semantic grid,Big data
Conference
Volume
ISSN
Citations 
544
1865-0929
1
PageRank 
References 
Authors
0.47
5
6
Name
Order
Citations
PageRank
Rob Lokers1101.42
Yke van Randen2101.42
Rob Knapen3393.58
Stephan Gaubitzer410.47
Sergey Zudin510.47
Sander Janssen6979.88