Data enrichment toolchain: a data linking and enrichment platform for heterogeneous data

Proliferation of data sources associated to Internet of Things (IoT) deployment as well as those bound to Open Data Portals (e.g. European Data Portal, Municipalities Open Data Portals, etc.) and Social Media platforms is creating an abundance of information that is called to bring benefits for both...

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Authors: Sánchez González, Luis|||0000-0003-0136-3420, Lanza Calderón, Jorge|||0000-0002-9586-1334, Santana Martínez, Juan Ramón|||0000-0003-1374-2153, Sotres García, Pablo|||0000-0002-2881-3594, González Carril, Víctor|||0000-0003-1932-1616, Martín González, Laura|||0000-0003-0765-9687, Solmaz, Gürkan, Kovacs, Ernö, Dietzel, Maren, Summa, Anja, Jafari Tehrani, Amir Reza, Minerva, Roberto, Crespi, Noël
Format: article
Publication Date:2023
Country:España
Institution:Universidad de Cantabria (UC)
Repository:UCrea Repositorio Abierto de la Universidad de Cantabria
Language:English
OAI Identifier:oai:repositorio.unican.es:10902/30441
Online Access:https://hdl.handle.net/10902/30441
Access Level:Open access
Keyword:Data enrichment
Semantic annotation
Data linking
Data processing
Heterogenous data
Data interoperability
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spelling Data enrichment toolchain: a data linking and enrichment platform for heterogeneous dataSánchez González, Luis|||0000-0003-0136-3420Lanza Calderón, Jorge|||0000-0002-9586-1334Santana Martínez, Juan Ramón|||0000-0003-1374-2153Sotres García, Pablo|||0000-0002-2881-3594González Carril, Víctor|||0000-0003-1932-1616Martín González, Laura|||0000-0003-0765-9687Solmaz, GürkanKovacs, ErnöDietzel, MarenSumma, AnjaJafari Tehrani, Amir RezaMinerva, RobertoCrespi, NoëlData enrichmentSemantic annotationData linkingData processingHeterogenous dataData interoperabilityProliferation of data sources associated to Internet of Things (IoT) deployment as well as those bound to Open Data Portals (e.g. European Data Portal, Municipalities Open Data Portals, etc.) and Social Media platforms is creating an abundance of information that is called to bring benefits for both the private and public sectors, through the development of added-value services, increasing administrations? transparency and availability or fostering efficiency of public services. However, pieces of information without a context are significantly less valuable. Raw data lacks semantics and it is highly heterogeneous from one data-source to another. This poses a challenge to make it useful. To turn all this data into valuable information it is necessary to enable its combination so that meaningful context can be created. Moreover, it is fundamental to define the mechanisms enabling the adoption and orchestration of advanced (typically AI-enabled) data processing techniques to be applied over the harmonized datasets and data-streams. This paper presents the Data Enrichment Toolchain (DET) that provides the necessary harmonization and enrichment to datasets and data-streams coming from heterogeneous sources. The value of the enriched data lies on the one hand in the transfer of the data into a semantically grounded knowledge graph and, on the other hand, in the creation of new data through linking, aggregating and reasoning on the data. In both cases, the benefit of employing linked-data modelling and semantics comes from the extension of the metadata that is associated to every piece of information. Furthermore, the experimental evaluation of the DET implementation that we have carried out is also presented in the paper.This work was supported in part by the Project Situation-Aware Linked Heterogeneous Enriched Data (SALTED) from the European Union’s Connecting Europe Facility Programme under Grant 2020-EU-IA-0274, and in part by the Spanish State Research Agency (AEI) through the Project Semantically-Enabled Interoperable Trustworthy Enriched Data-Spaces (SITED) under Grant PID2021-125725OB-I00.Institute of Electrical and Electronics Engineers, Inc.Universidad de Cantabria20232023-09-20journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/30441IEEE Access, 2023, 11, 103079-103091reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/304412026-06-02T12:39:31Z
dc.title.none.fl_str_mv Data enrichment toolchain: a data linking and enrichment platform for heterogeneous data
title Data enrichment toolchain: a data linking and enrichment platform for heterogeneous data
spellingShingle Data enrichment toolchain: a data linking and enrichment platform for heterogeneous data
Sánchez González, Luis|||0000-0003-0136-3420
Data enrichment
Semantic annotation
Data linking
Data processing
Heterogenous data
Data interoperability
title_short Data enrichment toolchain: a data linking and enrichment platform for heterogeneous data
title_full Data enrichment toolchain: a data linking and enrichment platform for heterogeneous data
title_fullStr Data enrichment toolchain: a data linking and enrichment platform for heterogeneous data
title_full_unstemmed Data enrichment toolchain: a data linking and enrichment platform for heterogeneous data
title_sort Data enrichment toolchain: a data linking and enrichment platform for heterogeneous data
dc.creator.none.fl_str_mv Sánchez González, Luis|||0000-0003-0136-3420
Lanza Calderón, Jorge|||0000-0002-9586-1334
Santana Martínez, Juan Ramón|||0000-0003-1374-2153
Sotres García, Pablo|||0000-0002-2881-3594
González Carril, Víctor|||0000-0003-1932-1616
Martín González, Laura|||0000-0003-0765-9687
Solmaz, Gürkan
Kovacs, Ernö
Dietzel, Maren
Summa, Anja
Jafari Tehrani, Amir Reza
Minerva, Roberto
Crespi, Noël
author Sánchez González, Luis|||0000-0003-0136-3420
author_facet Sánchez González, Luis|||0000-0003-0136-3420
Lanza Calderón, Jorge|||0000-0002-9586-1334
Santana Martínez, Juan Ramón|||0000-0003-1374-2153
Sotres García, Pablo|||0000-0002-2881-3594
González Carril, Víctor|||0000-0003-1932-1616
Martín González, Laura|||0000-0003-0765-9687
Solmaz, Gürkan
Kovacs, Ernö
Dietzel, Maren
Summa, Anja
Jafari Tehrani, Amir Reza
Minerva, Roberto
Crespi, Noël
author_role author
author2 Lanza Calderón, Jorge|||0000-0002-9586-1334
Santana Martínez, Juan Ramón|||0000-0003-1374-2153
Sotres García, Pablo|||0000-0002-2881-3594
González Carril, Víctor|||0000-0003-1932-1616
Martín González, Laura|||0000-0003-0765-9687
Solmaz, Gürkan
Kovacs, Ernö
Dietzel, Maren
Summa, Anja
Jafari Tehrani, Amir Reza
Minerva, Roberto
Crespi, Noël
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv Data enrichment
Semantic annotation
Data linking
Data processing
Heterogenous data
Data interoperability
topic Data enrichment
Semantic annotation
Data linking
Data processing
Heterogenous data
Data interoperability
description Proliferation of data sources associated to Internet of Things (IoT) deployment as well as those bound to Open Data Portals (e.g. European Data Portal, Municipalities Open Data Portals, etc.) and Social Media platforms is creating an abundance of information that is called to bring benefits for both the private and public sectors, through the development of added-value services, increasing administrations? transparency and availability or fostering efficiency of public services. However, pieces of information without a context are significantly less valuable. Raw data lacks semantics and it is highly heterogeneous from one data-source to another. This poses a challenge to make it useful. To turn all this data into valuable information it is necessary to enable its combination so that meaningful context can be created. Moreover, it is fundamental to define the mechanisms enabling the adoption and orchestration of advanced (typically AI-enabled) data processing techniques to be applied over the harmonized datasets and data-streams. This paper presents the Data Enrichment Toolchain (DET) that provides the necessary harmonization and enrichment to datasets and data-streams coming from heterogeneous sources. The value of the enriched data lies on the one hand in the transfer of the data into a semantically grounded knowledge graph and, on the other hand, in the creation of new data through linking, aggregating and reasoning on the data. In both cases, the benefit of employing linked-data modelling and semantics comes from the extension of the metadata that is associated to every piece of information. Furthermore, the experimental evaluation of the DET implementation that we have carried out is also presented in the paper.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-09-20
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10902/30441
url https://hdl.handle.net/10902/30441
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers, Inc.
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers, Inc.
dc.source.none.fl_str_mv IEEE Access, 2023, 11, 103079-103091
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301629

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