Performance of system based on two ontologies in order to supply personalised information
Houda Mnasser,
Faïez Gargouri and
Mourad Abed
International Journal of Business Performance and Supply Chain Modelling, 2014, vol. 6, issue 3/4, 208-227
Abstract:
This paper describes two ontologies that form the backbone of our personalised interactive system allowing the passengers to assist, to facilitate their movement and offer them services, entertainment, etc., throughout their journey in the multimodal transport networks. First, we describe here the public transportation ontology. We have presented secondly user profile ontology. Its instantiation, in our case, is based on the explicit gathering of data that form the user profile: the passenger fills his different information via a web interface that enables him to decide, among the given data, those which are suitable and which are not. So, the system stores the profile of every passenger that will connect with his login and password to ask to travel from one place to another. The system will give him the suitable answer according to his profile. The whole goal of our system is to realise the great satisfaction of public transportation user.
Keywords: ontology; user profiles; Protégé tool; system performance; personalised information; personalised interactive systems; passengers; passenger services; passenger entertainment; passenger movements; multimodal transport networks; public transport; online data submission; web forms; passenger profiles; customer satisfaction. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.inderscience.com/link.php?id=65266 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbpsc:v:6:y:2014:i:3/4:p:208-227
Access Statistics for this article
More articles in International Journal of Business Performance and Supply Chain Modelling from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().