Knowledge-Based Management and Reasoning on Cultural and Natural Touristic Routes
Autor: | Athanasios T. Patenidis, Ioannis Paliokas, Eirini E. Mitsopoulou, Evangelos A. Stathopoulos, Konstantinos Votis, Sotiris Diplaris, Stefanos Vrochidis, Ioannis Kompatsiaris, Georgios Meditskos, Alexandros Kokkalas, Dimitrios Tzovaras |
---|---|
Rok vydání: | 2020 |
Předmět: |
Computer science
05 social sciences Problem statement 020206 networking & telecommunications Temporality 02 engineering and technology Data science Cultural heritage Comprehension NOMINATE 0202 electrical engineering electronic engineering information engineering Natural (music) 0501 psychology and cognitive sciences Augmented reality Axiom 050104 developmental & child psychology |
Zdroj: | IFIP Advances in Information and Communication Technology ISBN: 9783030491604 AIAI (1) |
DOI: | 10.1007/978-3-030-49161-1_30 |
Popis: | There is great potential in interdisciplinary traveling platforms mingling knowledge about cultural heritage aspects, such as places with schedules providing visits or even containing augmented reality features 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 information, deriving either from web sources or wherever there are ubiquitously available such as sensors or open databases. A plethora of qualitatively diverse data along with adequate quantities of them escalate the contingent results in terms of conferring a plurality of relevant options which can be utterly manifested through involving axioms with rule-based reasoning functionalities upon properties considered to be irrelevant to each other at first glance. Thus, managing to import predefined 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 established before. Apart from the utilization of pre-existent resources and logic towards automatic detouring suggestions, a wide-spectrum modeling enables a suitable problem statement relevant to the e-Tracer framework and comprehension of the issues, providing the opportunity of statistical analysis of knowledge when adequate amounts amassed. |
Databáze: | OpenAIRE |
Externí odkaz: |