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A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains.
Identificadores del recurso
2078-2489
http://hdl.handle.net/10641/2743
10.3390/info12110435
Origin
(Repositorio Institucional de la Universidad Francisco de Vitoria)

File

Title:
A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains.
Tema:
Information systems
Recommenders
Information fusion
Semantic Web
Intelligent agents
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
post-print
2139 KB
Idioma:
English
Relation:
https://www.mdpi.com/2078-2489/12/11/435
Autor/Productor:
Muñoz Gil, Rafael
De Buenaga Rodríguez, Manuel
Aparicio Galisteo, Fernando
Gachet Páez, Diego
García Cuesta, Esteban
Publisher:
Information
Rights:
Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
openAccess
Date:
2022-01-27T13:25:29Z
2021
Tipo de recurso:
article

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