About: Knowledge-Based Management and Reasoning on Cultural and Natural Touristic Routes

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About: Knowledge-Based Management and Reasoning on Cultural and Natural Touristic Routes Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Knowledge-Based Management and Reasoning on Cultural and Natural Touristic Routes
Creator	Diplaris, Sotiris Kokkalas, Alexandros Kompatsiaris, Ioannis Meditskos, Georgios Mitsopoulou, Eirini Paliokas, Ioannis Patenidis, Athanasios Stathopoulos, Evangelos Tzovaras, Dimitrios Votis, Konstantinos Vrochidis, Stefanos
source	PMC
abstract	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.
has issue date	2020-05-06(xsd:dateTime)
bibo:doi	10.1007/978-3-030-49161-1_30
has license	no-cc
sha1sum (hex)	c25a2b56c6d00a09e8cb6dad4d295fa3960545fd
schema:url	https://doi.org/10.1007/978-3-030-49161-1_30
resource representing a document's title	Knowledge-Based Management and Reasoning on Cultural and Natural Touristic Routes
has PubMed Central identifier	PMC7256392
schema:publication	Artificial Intelligence Applications and Innovations
resource representing a document's body	covid:c25a2b56c6d00a09e8cb6dad4d295fa3960545fd#body_text
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