Ornithology Based on Linking Bird Observations with Weather Data

Mikko Koho; Eero Hyvönen; Aleksi Lehikoinen

doi:10.1007/978-3-319-11955-7_7

Ornithology Based on Linking Bird Observations with Weather Data

Mikko Koho, Eero Hyvönen, Aleksi Lehikoinen

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Abstract

This paper presents first results of a use case of Linked Data for eScience, where 0.5 million rows of bird migration observations over 30 years time span are linked with 0.1 million rows of related weather observations and a bird species ontology. Using the enriched linked data biology researchers at the Finnish Museum of Natural History will be able to investigate temporal changes in bird biodiversity and how weather conditions affect bird migration. To support data exploration, the data is published in a SPARQL endpoint service using the RDF Data Cube model, on which semantic search and visualization tools are built.

Original language	English
Title of host publication	The Semantic Web
Subtitle of host publication	ESWC 2014 Satellite Events
Place of Publication	Switzerland
Publisher	Springer
Pages	75-85
ISBN (Electronic)	978-3-319-11955-7
ISBN (Print)	978-3-319-11954-0
DOIs	https://doi.org/10.1007/978-3-319-11955-7_7
Publication status	Published - 2014
MoE publication type	A4 Conference publication

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	8798
ISSN (Electronic)	0302-9743

Keywords

linked data
ornithology
semantic web
visualization

Access to Document

10.1007/978-3-319-11955-7_7

Cite this

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title = "Ornithology Based on Linking Bird Observations with Weather Data",

abstract = "This paper presents first results of a use case of Linked Data for eScience, where 0.5 million rows of bird migration observations over 30 years time span are linked with 0.1 million rows of related weather observations and a bird species ontology. Using the enriched linked data biology researchers at the Finnish Museum of Natural History will be able to investigate temporal changes in bird biodiversity and how weather conditions affect bird migration. To support data exploration, the data is published in a SPARQL endpoint service using the RDF Data Cube model, on which semantic search and visualization tools are built.",

keywords = "linked data, ornithology, semantic web, visualization, linked data, ornithology, semantic web, visualization, linked data, ornithology, semantic web, visualization",

author = "Mikko Koho and Eero Hyv{\"o}nen and Aleksi Lehikoinen",

note = "VK: Hyv{\~A}¶nen",

year = "2014",

doi = "10.1007/978-3-319-11955-7_7",

language = "English",

isbn = "978-3-319-11954-0",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

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booktitle = "The Semantic Web",

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Ornithology Based on Linking Bird Observations with Weather Data. / Koho, Mikko; Hyvönen, Eero; Lehikoinen, Aleksi.
The Semantic Web: ESWC 2014 Satellite Events. Switzerland: Springer, 2014. p. 75-85 (Lecture Notes in Computer Science; Vol. 8798).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Ornithology Based on Linking Bird Observations with Weather Data

AU - Koho, Mikko

AU - Hyvönen, Eero

AU - Lehikoinen, Aleksi

N1 - VK: HyvÃ¶nen

PY - 2014

Y1 - 2014

N2 - This paper presents first results of a use case of Linked Data for eScience, where 0.5 million rows of bird migration observations over 30 years time span are linked with 0.1 million rows of related weather observations and a bird species ontology. Using the enriched linked data biology researchers at the Finnish Museum of Natural History will be able to investigate temporal changes in bird biodiversity and how weather conditions affect bird migration. To support data exploration, the data is published in a SPARQL endpoint service using the RDF Data Cube model, on which semantic search and visualization tools are built.

AB - This paper presents first results of a use case of Linked Data for eScience, where 0.5 million rows of bird migration observations over 30 years time span are linked with 0.1 million rows of related weather observations and a bird species ontology. Using the enriched linked data biology researchers at the Finnish Museum of Natural History will be able to investigate temporal changes in bird biodiversity and how weather conditions affect bird migration. To support data exploration, the data is published in a SPARQL endpoint service using the RDF Data Cube model, on which semantic search and visualization tools are built.

KW - linked data

KW - ornithology

KW - semantic web

KW - visualization

KW - linked data

KW - ornithology

KW - semantic web

KW - visualization

KW - linked data

KW - ornithology

KW - semantic web

KW - visualization

UR - http://ceur-ws.org/Vol-1155/paper-02.pdf

UR - http://seco.cs.aalto.fi/publications/2014/koho-hyvonen-orni-2014.pdf

U2 - 10.1007/978-3-319-11955-7_7

DO - 10.1007/978-3-319-11955-7_7

M3 - Conference article in proceedings

SN - 978-3-319-11954-0

T3 - Lecture Notes in Computer Science

SP - 75

EP - 85

BT - The Semantic Web

PB - Springer

CY - Switzerland

ER -

Ornithology Based on Linking Bird Observations with Weather Data

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