NeoMaPy is based on a Temporal Markov Logic Networks (TMLN) model which extends the Markov Logic Networks (MLN) model with uncertain temporal facts and rules. […]
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Propagation Measure on Circulation Graphs for Tourism Behavior Analysis
This work has been published at SIGAPP@SAC’22 conference during our work our Digital Tourism in collaboration with Metropole Européenne de Lille. The aims is to […]
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Neo4Tourism – a Framework for Tourist Circulation on DB Graphs
A presentation of our work on Neo4Tourism at DVRC with EIREST, Bordeaux & Lille parternships.At LIFO Laboratory, December 13th 2021.Resume (in French): Les traces numériques […]
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Indicators for Measuring Tourist Mobility
Digital traces left by active users on social networks have become a popular means of analyzing tourist behavior. The large amount of data generated by […]
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