01526nas a2200205   4500000000100000000000100001008004100002260003100043653002000074653001300094653001700107653001100124100001300135245007400148856015300222300001000375490001400385520086000399020006101259       2015                            d  bTaylor and FrancisaVienna10aEthnic identity10apolitics10aPreservation10aTimbre1 aR. Pease00a“Asŭrang” (dance music): Buzz, modernity, and tradition in China  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-78649827322&doi=10.1007%2f978-3-642-16985-4_48&partnerID=40&md5=19e969041b4f0539e895d0ca16609e1e  a81-970 v6385 LNCS3 aCurrent recommender systems can support tourists in choosing travel products (accommodation, activities, means of transport, etc.), in planning long trips, and in profitably spending time in a specific geographical area such as a region (or a city). In the last case, the system should be able to construct itineraries suited to the tourist s interests. In this paper, a method for generating tourist itineraries in knowledge-based recommender systems is proposed. The method is based on a theoretical model that defines space-time relations among items of intangible cultural heritage (called events) and on transitive closure computation (of the relations), that is able to construct chains of events. The proposed method has been implemented in the T-Path recommender system, that suggests itineraries of cultural events occurring in the Apulia region.  a03029743 (ISSN); 3642169848 (ISBN); 9783642169847 (ISBN)