Conference Paper/Proceeding/Abstract 1101 views 165 downloads
An Algebraic Theory for Data Linkage
Recent Trends in Algebraic Development Techniques, Volume: 11563, Pages: 47 - 66
Swansea University Author: Markus Roggenbach
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DOI (Published version): 10.1007/978-3-030-23220-7_3
Abstract
There are countless sources of data available to governments, companies, and citizens, which can be combined for good or evil. We analyse the concepts of combining data from common sources and linking data from different sources. We model the data and its information content to be found in a single...
Published in: | Recent Trends in Algebraic Development Techniques |
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ISBN: | 978-3-030-23219-1 978-3-030-23220-7 |
ISSN: | 0302-9743 1611-3349 |
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Springer
2019
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URI: | https://cronfa.swan.ac.uk/Record/cronfa50298 |
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2020-07-21T12:34:49.0773419 v2 50298 2019-05-09 An Algebraic Theory for Data Linkage 7733869ae501442da6926fac77cd155b 0000-0002-3819-2787 Markus Roggenbach Markus Roggenbach true false 2019-05-09 SCS There are countless sources of data available to governments, companies, and citizens, which can be combined for good or evil. We analyse the concepts of combining data from common sources and linking data from different sources. We model the data and its information content to be found in a single source by an ordered partial monoid, and the transfer of information between sources by different types of morphisms. To capture the linkage between a family of sources, we use a form of Grothendieck construction to create an ordered partial monoid that brings together the global data of the family in a single structure. We apply our approach to database theory and axiomatic structures in approximate reasoning. Thus, ordered partial monoids provide a foundation for the algebraic study for information gathering in its most primitive form. Conference Paper/Proceeding/Abstract Recent Trends in Algebraic Development Techniques 11563 47 66 Springer 978-3-030-23219-1 978-3-030-23220-7 0302-9743 1611-3349 Data Combination, Anonymity, Algebraic Modelling 26 6 2019 2019-06-26 10.1007/978-3-030-23220-7_3 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2020-07-21T12:34:49.0773419 2019-05-09T12:06:33.3595991 Liang-Ting Chen 1 Markus Roggenbach 0000-0002-3819-2787 2 John V. Tucker 3 50298__13736__983f365f9cf24631a82daecc48de0621.pdf wadt-paper.pdf 2019-05-09T12:16:22.1330000 Output 1072652 application/pdf Accepted Manuscript true 2020-06-26T00:00:00.0000000 true eng |
title |
An Algebraic Theory for Data Linkage |
spellingShingle |
An Algebraic Theory for Data Linkage Markus Roggenbach |
title_short |
An Algebraic Theory for Data Linkage |
title_full |
An Algebraic Theory for Data Linkage |
title_fullStr |
An Algebraic Theory for Data Linkage |
title_full_unstemmed |
An Algebraic Theory for Data Linkage |
title_sort |
An Algebraic Theory for Data Linkage |
author_id_str_mv |
7733869ae501442da6926fac77cd155b |
author_id_fullname_str_mv |
7733869ae501442da6926fac77cd155b_***_Markus Roggenbach |
author |
Markus Roggenbach |
author2 |
Liang-Ting Chen Markus Roggenbach John V. Tucker |
format |
Conference Paper/Proceeding/Abstract |
container_title |
Recent Trends in Algebraic Development Techniques |
container_volume |
11563 |
container_start_page |
47 |
publishDate |
2019 |
institution |
Swansea University |
isbn |
978-3-030-23219-1 978-3-030-23220-7 |
issn |
0302-9743 1611-3349 |
doi_str_mv |
10.1007/978-3-030-23220-7_3 |
publisher |
Springer |
document_store_str |
1 |
active_str |
0 |
description |
There are countless sources of data available to governments, companies, and citizens, which can be combined for good or evil. We analyse the concepts of combining data from common sources and linking data from different sources. We model the data and its information content to be found in a single source by an ordered partial monoid, and the transfer of information between sources by different types of morphisms. To capture the linkage between a family of sources, we use a form of Grothendieck construction to create an ordered partial monoid that brings together the global data of the family in a single structure. We apply our approach to database theory and axiomatic structures in approximate reasoning. Thus, ordered partial monoids provide a foundation for the algebraic study for information gathering in its most primitive form. |
published_date |
2019-06-26T04:01:43Z |
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1763753174624108544 |
score |
11.035634 |