Knowledge-based Management and Reasoning on Cultural and Natural Touristic Detours
There is great potential in interdisciplinary traveling plat- forms mingling knowledge about cultural heritage aspects, such as places with schedules providing visits or even containing augmented reality fea- tures also, along with environmental concerns to enhance personalized tourist experience and tripping avocation. For an ontological framework to support and nominate trip detours of targeted interests according to end-users, it should incorporate and unify as much heterogeneous infor-
... n, deriving either from web sources or wherever there are ubiqui- tously available such as sensors or open databases. A plethora of qual- itatively diverse data along with adequate quantities of them escalate the contingent results in terms of conferring a plurality of relevant op- tions which can be utterly manifested through involving axioms with rule-based reasoning functionalities upon properties considered to be ir- relevant to each other at first glance. Thus, managing to import prede- fined concepts from other ontologies, such as temporality or spatiality, and combine them with new defined concepts to tourist assets, such as points of interest, results in novel meaningful relationships never estab- lished before. Apart from the utilization of pre-existent resources and logic towards automatic detouring suggestions, a wide-spectrum model- ing enables a suitable problem statement relevant to the e-Tracer frame- work and comprehension of the issues, providing the opportunity of sta- tistical analysis of knowledge when adequate amounts amassed.