From patrick.schouller@inria.fr Mon Nov 29 15:16 MET 1999 To: (Suppression de la liste des destinataires) From: Patrick SchoullerSubject: Acteur italien recherche partenaire pour le prochain appel IST dans le domaine du tourisme Call 1: User Preference based Trip Planning Aim: We want to realise a system that, on the basis of the user preferences ( e.g.: panoramic places, live music, ruins, nineteenth-century-cultural assets etc.) and any necessity/constrains ( e.g.: number of the travel days, economical assets, places where one has to stop etc.) will find within an information repository (structured as a database or not structured as a set of HTML pages) the elements that better satisfy the user preferences (maximising some objective functions) and will organise the trip using different means of communication (plane, train and if necessary bus). The system will be made so to guarantee to be adequately scalable and adaptable to different information repository for the retrieval of the elements to visit. These pre-requirements are necessary because we want to use three different information repository: the former containing the Tour Operator offers, the second concerning the Central Access Point (CAP) database of InTouriSME-Enjoyeurope and the latter concerning a regional tourist server database and especially the district of Naples. In particular as regards the net defined through the InTouriSME-Enjoyeurope projects together with the technological infra-structure (based on JAVA/JINI technology) for the co-operation of software application that will be made shortly available through the FETISH project, it will be immediately available within the CAP the Trip Planning service which is able to operate in a distribute way using the offered service from every single regional server. The optimisation functionality used for the selection of the various entity foresee the possibility of interacting with the user in order to improve the quality of the results produced by the retrieval mechanism using advanced artificial intelligence and combinatorial optimisation techniques. These techniques are also used, for example in the case of the use on the tour operator information repository, so that one can find the trip or the different trips (between those proposed by the tour operator) at minimal distance from that proposed by the user. As concerning the organisation of the journey the system will propose some transfers using different communications mean (multimodal path) optimising the transfers in function of different parameters (time, costs, number of changes etc.) provided by the user. Innovation Aspects: data mining on heterogeneous information repositories basis through the optimisation (MIN/MAX) of multiple functions objective unified to the techniques of AI, Fuzzy logic and Soft-Computing; definition of complex mathematical models for the transfers planning problem description and formalisation; combinatorial optimisation for transfers planning in a multimodal way; experimentation of state of the art technologies for the co-operation of software application ( EJB, CORBA, JINI). POSSIBLE PARTNERSHIP: Tour operator (possible TUI from DE), CRS provider (AMADEUS, or eventually GALILEO) Technological for IA, fuzzy logic and combinatorial optimisation (CRMPA) Local Regional Server present in InTouriSME project (CRETA and CORSICA); Vienna Local Public Corporation ( district Na) Call 3: trips Combination We want to realise a system which will be able to manage the different tourist offers suggested by various tour operator in a structured form (through the predisposition of a multimedia data base) and to supply intelligent search functionality of the proposals according to the tourist's preferences/needs. The system will be also provided with a farm of software agents by means of will be implemented a mechanism of self maintenance of the database finding information of tourist interest through the Internet network. Moreover, using techniques of artificial intelligence and soft-computing the system carries out a self-auditing on the quality of the supplied information and on the fulfilment of the user's requests. The information provided by the self-auditing functionality will be used to setup, in a suitable way, the agents in order to find peculiar information requested by the users but not available inside the database. In particular the system is addressed to the travel/service agencies and the tour operators and it can be used whether locally (at the agency) or through a usual Internet site. Using techniques of artificial intelligence, soft-computing and optimisation the user's preferences are collected together, a user profile is made and finally the information available in the data base are searched between these that better satisfy the user preferences, eventually arranging different solutions of the same tour operator, more TO or proposing a new tour. Innovative aspects : data mining on heterogeneous informative basis through the optimisation (min/max) of multiple objective-functions unified with the use of IA techniques, fuzzy logic and soft-computing; software agents, experimentation of state of the art technologies for the cooperation of software application (EJB, CORBA, JINI). Possible parternship: Service/travel agencies of al least two countries Tour operators of al least two countries Technological for combinatorial optimisation, IA and Soft-Computing (CRMPA+University) POUR TOUTE INFORMATION COMPLEMENTAIRE salerno@unisa.it Ministère de l'Economie, des Finances et de l'Industrie Secrétariat d'Etat à l'Industrie Direction générale de l'Industrie, des Technologies de l'Information et de la Poste Service des Technologies et de la Société de l'Information Sous Direction des Programmes et de la Prospective le BERVIL - 12 rue Villiot - 75572 PARIS CEDEX 12 Téléphone : 01 53 44 94 25 - Télécopie 01 53 44 98 51 HTTP://www.evariste.org/actu/schouller