A Conceptual Architecture for Semantic Mash Up Recommender Framework

In this paper we propose a conceptual semantic based tourism platform that enables users to consume mash up applications by using a multi agent system. We explore different mechanisms for discovery, publishing, composition and querying of services. In particular, we present a methodology for collect...

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Bibliographic Details
Published in2012 Eighth International Conference on Signal Image Technology and Internet Based Systems pp. 1002 - 1009
Main Authors Cardona, G. P., Garijo, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2012
Subjects
automatic
composition
Context
Data mining
Data models
etc
Google
multi-agent
Ontologies
ontology
RDF
recommendation system
semantic
Semantics
service
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Summary:In this paper we propose a conceptual semantic based tourism platform that enables users to consume mash up applications by using a multi agent system. We explore different mechanisms for discovery, publishing, composition and querying of services. In particular, we present a methodology for collecting, organizing and searching data distributed in different resources-RDF data sets- and - Application Programming Interface (API) -. As a part of our model, we propose a semantic architecture that defines three main components: i) A mechanism for automatic data collection. ii) A mechanism for automatic service composition. ii) A semantic recommendation module based on user context and social profile.
ISBN:1467351520
9781467351522
DOI:10.1109/SITIS.2012.148