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Memorias de investigación
Artículos en revistas:
Modelling Rules for Automating the Evented Web by Semantic Technologies
Año:2015
Áreas de investigación
  • Telemática
Datos
Descripción
The Live Web is characterised by a new way of interacting with the Web through dynamic streams of rel- evant real-time contextual information to users. These sources of massive data usually overwhelm them, because they are not able to consume that amount of data. Task Automation Services (TASs) are platforms or apps that allow their users to author automation rules to combine events from streams while reducing the effort for handling incoming information. While these platforms are a reality, they suffer from two major drawbacks: (i) the only incoming data streams available are those the TASs developers decided to include in the system, and (ii) they lack of a mechanism to reason over large scale data outside their platform. To face these challenges, this paper contributes in (i) reviewing the existing state of the art including research and commercial work given their relevance. Based on the lessons learnt from this review, (ii) we propose the Evented WEb ontology (EWE), that models the Evented WEb domain, and in particular those concepts around TASs. EWE enables scalability, interoperability and definition of rules with reasoning over Linked Open Data (LOD) cloud. To illustrate these contributions, (iii) a semantic TAS has been implemented that benefits from the advantages EWE offers, and solves a realistic problem using semantic technologies. Finally, (iv) to validate the ontology covers the domain it models, a thor- ough ontology evaluation is presented.
Internacional
Si
JCR del ISI
Si
Título de la revista
Expert Systems With Applications
ISSN
0957-4174
Factor de impacto JCR
2,23
Información de impacto
Datos JCR del año 2014 - Q1
Volumen
42
DOI
10.1016/j.eswa.2015.06.031
Número de revista
21
Desde la página
7979
Hasta la página
7990
Mes
NOVIEMBRE
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Miguel Coronado Barrios (UPM)
  • Autor: Carlos Angel Iglesias Fernandez (UPM)
  • Autor: Emilio Serrano Fernandez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Inteligencia Artificial
  • Departamento: Ingeniería de Sistemas Telemáticos
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