The benefits of Linked Data for the social sciences Analysing economic drivers and network effects of international migration based on semantically integrated data

Francesca Ceolan; Dimitris Alivanistos; Kathrin Dentler; Albert Merono-Penuela; Richard Zijdeman; Rinke Hoekstra; Auke Rijpma

The benefits of Linked Data for the social sciences Analysing economic drivers and network effects of international migration based on semantically integrated data

Francesca Ceolan, Dimitris Alivanistos, Kathrin Dentler, Albert Merono-Penuela, Richard Zijdeman, Rinke Hoekstra, Auke Rijpma

Research output: Contribution to conference › Paper › peer-review

Abstract

International migration is a phenomenon hard to analyse comprehensively, partly because of the lack of a single database that contains all the required data. Therefore, we converted three different datasets and recollected the data with the use of a single query. In this study, we demonstrate the utility of Linked Data as a flexible technology to manage data, and the possible use it can have in social sciences. Based on the selected data, we performed several regression analyses to validate two theories of the migration studies field: neoclassical economic theory and ethnic networks theory.

Original language	English
Pages	73-78
Number of pages	6
State	Published - 2017
Externally published	Yes
Event	2017 Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour, AISB 2017 - Bath, United Kingdom Duration: Apr 18 2017 → Apr 21 2017

Conference

Conference	2017 Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour, AISB 2017
Country/Territory	United Kingdom
City	Bath
Period	04/18/17 → 04/21/17

Keywords

Linked data
Migrant integration
Migration theories
Semantically integrated data
Unified migration portal

Cite this

Ceolan, F., Alivanistos, D., Dentler, K., Merono-Penuela, A., Zijdeman, R., Hoekstra, R., & Rijpma, A. (2017). The benefits of Linked Data for the social sciences Analysing economic drivers and network effects of international migration based on semantically integrated data. 73-78. Paper presented at 2017 Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour, AISB 2017, Bath, United Kingdom.

Ceolan, Francesca ; Alivanistos, Dimitris ; Dentler, Kathrin et al. / The benefits of Linked Data for the social sciences Analysing economic drivers and network effects of international migration based on semantically integrated data. Paper presented at 2017 Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour, AISB 2017, Bath, United Kingdom.6 p.

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abstract = "International migration is a phenomenon hard to analyse comprehensively, partly because of the lack of a single database that contains all the required data. Therefore, we converted three different datasets and recollected the data with the use of a single query. In this study, we demonstrate the utility of Linked Data as a flexible technology to manage data, and the possible use it can have in social sciences. Based on the selected data, we performed several regression analyses to validate two theories of the migration studies field: neoclassical economic theory and ethnic networks theory.",

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author = "Francesca Ceolan and Dimitris Alivanistos and Kathrin Dentler and Albert Merono-Penuela and Richard Zijdeman and Rinke Hoekstra and Auke Rijpma",

year = "2017",

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Ceolan, F, Alivanistos, D, Dentler, K, Merono-Penuela, A, Zijdeman, R, Hoekstra, R & Rijpma, A 2017, 'The benefits of Linked Data for the social sciences Analysing economic drivers and network effects of international migration based on semantically integrated data', Paper presented at 2017 Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour, AISB 2017, Bath, United Kingdom, 04/18/17 - 04/21/17 pp. 73-78.

The benefits of Linked Data for the social sciences Analysing economic drivers and network effects of international migration based on semantically integrated data. / Ceolan, Francesca; Alivanistos, Dimitris; Dentler, Kathrin et al.
2017. 73-78 Paper presented at 2017 Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour, AISB 2017, Bath, United Kingdom.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - The benefits of Linked Data for the social sciences Analysing economic drivers and network effects of international migration based on semantically integrated data

AU - Ceolan, Francesca

AU - Alivanistos, Dimitris

AU - Dentler, Kathrin

AU - Merono-Penuela, Albert

AU - Zijdeman, Richard

AU - Hoekstra, Rinke

AU - Rijpma, Auke

PY - 2017

Y1 - 2017

N2 - International migration is a phenomenon hard to analyse comprehensively, partly because of the lack of a single database that contains all the required data. Therefore, we converted three different datasets and recollected the data with the use of a single query. In this study, we demonstrate the utility of Linked Data as a flexible technology to manage data, and the possible use it can have in social sciences. Based on the selected data, we performed several regression analyses to validate two theories of the migration studies field: neoclassical economic theory and ethnic networks theory.

AB - International migration is a phenomenon hard to analyse comprehensively, partly because of the lack of a single database that contains all the required data. Therefore, we converted three different datasets and recollected the data with the use of a single query. In this study, we demonstrate the utility of Linked Data as a flexible technology to manage data, and the possible use it can have in social sciences. Based on the selected data, we performed several regression analyses to validate two theories of the migration studies field: neoclassical economic theory and ethnic networks theory.

KW - Linked data

KW - Migrant integration

KW - Migration theories

KW - Semantically integrated data

KW - Unified migration portal

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M3 - Artículo

AN - SCOPUS:85041198564

SP - 73

EP - 78

T2 - 2017 Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour, AISB 2017

Y2 - 18 April 2017 through 21 April 2017

ER -

Ceolan F, Alivanistos D, Dentler K, Merono-Penuela A, Zijdeman R, Hoekstra R et al.. The benefits of Linked Data for the social sciences Analysing economic drivers and network effects of international migration based on semantically integrated data. 2017. Paper presented at 2017 Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour, AISB 2017, Bath, United Kingdom.

The benefits of Linked Data for the social sciences Analysing economic drivers and network effects of international migration based on semantically integrated data

Abstract

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Keywords

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