02043nas a2200397   4500000000100000000000100001008004100002260001000043653002000053653002300073653002600096653001400122653002200136653002200158653001500180653002400195653001900219653002800238653002400266653002400290653002400314653002100338653002300359653002300382100001800405700001500423700001500438700001500453700001500468700001600483245004700499856015000546300001200696520091200708020002501620       2010                            d  aCairo10aCultural events10aCultural heritages10aEmpirical evaluations10aFiltering10aFirst order logic10aGeographical area10aGrain size10aIntelligent systems10aKnowledge base10aKnowledge based systems10aLogical programming10aRecommender systems10aSpace-time relation10aSystems analysis10aTheoretical models10aTransitive closure1 aP. Di Bitonto1 aF. Di Tria1 aM. Laterza1 aT. Roselli1 aV. Rossano1 aF. Tangorra00aA model for generating tourist itineraries  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79851495859&doi=10.1109%2fISDA.2010.5687061&partnerID=40&md5=eb915cef274f0db6d9f871509d59d69e  a971-9763 aA challenge in the recommender systems currently available for the tourism domain is how to suggest tourist itineraries in a specific geographical area (city or region). The proposed theoretical model allows items of intangible cultural heritage (events) such as processions, festivals, special markets, etc. to be characterized and correlated. The model features both a set of functions characterizing the events and a space-time relation that defines whether two events are correlated. The model allows itineraries to be constructed by computing the transitive closure of the space-time relation on the set of events. It can be used to construct itineraries at different grain sizes. This capacity makes the model scalable and easily applicable in the development of several applications. It has been implemented in a first order logic knowledge base in order to make an empirical evaluation of the model.  a9781424481354 (ISBN)