How smart is e-tourism? A systematic review of smart tourism recommendation system applying data management
Extensive research has been conducted on e-tourism spanning a wide range of concepts,
challenges and concerns discussed in tourism recommender systems (TRS). Smart tourism …
challenges and concerns discussed in tourism recommender systems (TRS). Smart tourism …
Application of resource description framework to personalise learning: Systematic review and methodology
T Jevsikova, A Berniukevičius, E Kurilovas - Informatics in Education, 2017 - ceeol.com
The paper is aimed to present a methodology of learning personalisation based on applying
Resource Description Framework (RDF) standard model. Research results are two-fold: first …
Resource Description Framework (RDF) standard model. Research results are two-fold: first …
Interval type 2 trapezoidal‐fuzzy weighted with zero inconsistency combined with VIKOR for evaluating smart e‐tourism applications
E Krishnan, R Mohammed, A Alnoor… - … Journal of Intelligent …, 2021 - Wiley Online Library
The benchmarking of smart e‐tourism data management applications falls under the
problem of multicriteria decision‐making (MCDM). This claim is supported by three issues …
problem of multicriteria decision‐making (MCDM). This claim is supported by three issues …
Based on neutrosophic fuzzy environment: a new development of FWZIC and FDOSM for benchmarking smart e-tourism applications
The task of benchmarking smart e-tourism applications based on multiple smart key concept
attributes is considered a multi-attribute decision-making (MADM) problem. Although the …
attributes is considered a multi-attribute decision-making (MADM) problem. Although the …
Towards a social and context-aware mobile recommendation system for tourism
R Colomo-Palacios, FJ García-Peñalvo… - Pervasive and Mobile …, 2017 - Elsevier
Loyalty in tourism is one of the main concerns for tourist organizations and researchers
alike. Recently, technology in general and CRM and social networks in particular have been …
alike. Recently, technology in general and CRM and social networks in particular have been …
Linking OpenStreetMap with knowledge graphs—Link discovery for schema-agnostic volunteered geographic information
N Tempelmeier, E Demidova - Future Generation Computer Systems, 2021 - Elsevier
Abstract Representations of geographic entities captured in popular knowledge graphs such
as Wikidata and DBpedia are often incomplete. OpenStreetMap (OSM) is a rich source of …
as Wikidata and DBpedia are often incomplete. OpenStreetMap (OSM) is a rich source of …
Dynamic factual summaries for entity cards
Entity cards are being used frequently in modern web search engines to offer a concise
overview of an entity directly on the results page. These cards are composed of various …
overview of an entity directly on the results page. These cards are composed of various …
An approach to extracting topic-guided views from the sources of a data lake
In the last years, data lakes are emerging as an effective and an efficient support for
information and knowledge extraction from a huge amount of highly heterogeneous and …
information and knowledge extraction from a huge amount of highly heterogeneous and …
Time-aware adaptive tweets ranking through deep learning
Generally, tweets about brands, news and so forth, are mostly delivered to the Twitter user in
a reverse chronological order choosing among those twitted by the so-called followed users …
a reverse chronological order choosing among those twitted by the so-called followed users …
Ontology summarization: Graph-based methods and beyond
Ontologies have been widely used in numerous and varied applications, eg to support data
modeling, information integration, and knowledge management. With the increasing size of …
modeling, information integration, and knowledge management. With the increasing size of …