Mocholí Agües, JA.; Jaén Martínez, FJ.; Krynicki, KK.; Catalá Bolós, A.; Picón, A.; Cadenas, A. (2012). Learning semantically-annotated routes for context-aware recommendations on map navigation systems. Applied Soft Computing. 12(9):3088-3098. https://doi.org/10.1016/j.asoc.2012.05.010
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/35311
Title:
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Learning semantically-annotated routes for context-aware recommendations on map navigation systems
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Author:
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Mocholí Agües, Jose Antonio
Jaén Martínez, Francisco Javier
Krynicki, Kamil Krzysztof
Catalá Bolós, Alejandro
Picón, Artzai
Cadenas, Alejandro
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UPV Unit:
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Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
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Issued date:
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Abstract:
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Modern technology has brought many changes to our everyday lives. Our need to be in constant touch with others has been met with the cellphone, which has become our companion and the convergence point of many technological ...[+]
Modern technology has brought many changes to our everyday lives. Our need to be in constant touch with others has been met with the cellphone, which has become our companion and the convergence point of many technological advances. The combination of capabilities such as browsing the Internet and GPS reception has multiplied the services and applications based on the current location of the user. However, providing the user with these services has certain drawbacks. Although map navigation systems are the most meaningful way of displaying this information, the user still has to manually set up the filter in order to obtain a non-bloated visualization of the map and the available services. To tackle this problem, we present here a semantic multicriteria ant colony algorithm capable of learning the user's routes, including associated context information, and then predicting the most likely route a user is following, given his current location and context data. This knowledge could then be used as the basis for offering services related to his current (or most likely future) context data close to the path he is following. Our experimental results show that our algorithm is capable of obtaining consistent solutions sets even when multiple objective ontological terms are included in the process.
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Subjects:
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Semantic search
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Context-awareness
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Ant colony optimization
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Ontologies
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Copyrigths:
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Reserva de todos los derechos
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Source:
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Applied Soft Computing. (issn:
1568-4946
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DOI:
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10.1016/j.asoc.2012.05.010
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Publisher:
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Elsevier
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Publisher version:
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http://dx.doi.org/10.1016/j.asoc.2012.05.010
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Project ID:
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info:eu-repo/grantAgreement/MEC//CENIT2008-1019/ES/Tecnologías para Prestar Servicios en Movilidad en el Futuro Universo Inteligente - mIO!/
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Thanks:
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This work has been supported by the Spanish Ministry of Science and Innovation, Centre for the Development of Industrial Technology (CDTI) under the funding project CENIT-MIO! CENIT-2008 1019.
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Type:
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Artículo
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