A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains

In recent years, information integration systems have become very popular in mashup-type applications. Information sources are normally presented in an individual and unrelated fashion, and the development of new technologies to reduce the negative effects of information dispersion is needed. A majo...

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Autores principales:	Rafael Muñoz Gil, Manuel de Buenaga Rodríguez, Fernando Aparicio Galisteo, Diego Gachet Páez, Esteban García-Cuesta
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	information systems recommenders information fusion Semantic Web intelligent agents Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/cef555647b124162836e2e03716ef347
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spelling	oai:doaj.org-article:cef555647b124162836e2e03716ef3472021-11-25T17:58:22ZA Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains10.3390/info121104352078-2489https://doaj.org/article/cef555647b124162836e2e03716ef3472021-10-01T00:00:00Zhttps://www.mdpi.com/2078-2489/12/11/435https://doaj.org/toc/2078-2489In recent years, information integration systems have become very popular in mashup-type applications. Information sources are normally presented in an individual and unrelated fashion, and the development of new technologies to reduce the negative effects of information dispersion is needed. A major challenge is the integration and implementation of processing pipelines using different technologies promoting the emergence of advanced architectures capable of processing such a number of diverse sources. This paper describes a semantic domain-adaptable platform to integrate those sources and provide high-level functionalities, such as recommendations, shallow and deep natural language processing, text enrichment, and ontology standardization. Our proposed intelligent domain-adaptable platform (IDAP) has been implemented and tested in the tourism and biomedicine domains to demonstrate the adaptability, flexibility, modularity, and utility of the platform. Questionnaires, performance metrics, and A/B control groups’ evaluations have shown improvements when using IDAP in learning environments.Rafael Muñoz GilManuel de Buenaga RodríguezFernando Aparicio GalisteoDiego Gachet PáezEsteban García-CuestaMDPI AGarticleinformation systemsrecommendersinformation fusionSemantic Webintelligent agentsInformation technologyT58.5-58.64ENInformation, Vol 12, Iss 435, p 435 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	information systems recommenders information fusion Semantic Web intelligent agents Information technology T58.5-58.64
spellingShingle	information systems recommenders information fusion Semantic Web intelligent agents Information technology T58.5-58.64 Rafael Muñoz Gil Manuel de Buenaga Rodríguez Fernando Aparicio Galisteo Diego Gachet Páez Esteban García-Cuesta A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains
description	In recent years, information integration systems have become very popular in mashup-type applications. Information sources are normally presented in an individual and unrelated fashion, and the development of new technologies to reduce the negative effects of information dispersion is needed. A major challenge is the integration and implementation of processing pipelines using different technologies promoting the emergence of advanced architectures capable of processing such a number of diverse sources. This paper describes a semantic domain-adaptable platform to integrate those sources and provide high-level functionalities, such as recommendations, shallow and deep natural language processing, text enrichment, and ontology standardization. Our proposed intelligent domain-adaptable platform (IDAP) has been implemented and tested in the tourism and biomedicine domains to demonstrate the adaptability, flexibility, modularity, and utility of the platform. Questionnaires, performance metrics, and A/B control groups’ evaluations have shown improvements when using IDAP in learning environments.
format	article
author	Rafael Muñoz Gil Manuel de Buenaga Rodríguez Fernando Aparicio Galisteo Diego Gachet Páez Esteban García-Cuesta
author_facet	Rafael Muñoz Gil Manuel de Buenaga Rodríguez Fernando Aparicio Galisteo Diego Gachet Páez Esteban García-Cuesta
author_sort	Rafael Muñoz Gil
title	A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains
title_short	A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains
title_full	A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains
title_fullStr	A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains
title_full_unstemmed	A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains
title_sort	domain-adaptable heterogeneous information integration platform: tourism and biomedicine domains
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/cef555647b124162836e2e03716ef347
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A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains

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