01578nas a2200193   4500008004100000020006100041245007400102210006300176260003100239300001200270490001400282520086000296653002001156653001301176653001701189653001101206100001401217856015301231       2015                        eng d  a03029743 (ISSN); 3642169848 (ISBN); 9783642169847 (ISBN)00a“Asŭrang” (dance music): Buzz, modernity, and tradition in China0 aAsŭrang dance music Buzz modernity and tradition in China  aViennabTaylor and Francis  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.10aEthnic identity10aPolitics10aPreservation10aTimbre1 aPease, R.  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