Next Priority Concept: A new and generic algorithm computing concepts from complex and heterogeneous data

Autor: Demko, Christophe, Bertet, Karell, Faucher, Cyril, Viaud, Jean-François, Kuznetsov, Sergeï

In this article, we present a new data type agnostic algorithm calculating a concept lattice from heterogeneous and complex data. Our NextPriorityConcept algorithm is first introduced and proved in the binary case as an extension of Bordat's algorith

Externí odkaz: http://arxiv.org/abs/1912.11038

Applying Semantic Web Technologies for Improving the Visibility of Tourism Data

Autor: Soualah-Alila, Fayrouz, Faucher, Cyril, Bertrand, Frédéric, Coustaty, Mickaël, Doucet, Antoine

Tourism industry is an extremely information-intensive, complex and dynamic activity. It can benefit from semantic Web technologies, due to the significant heterogeneity of information sources and the high volume of on-line data. The management of se

Externí odkaz: http://arxiv.org/abs/1511.04717

Tracking news stories in short messages in the era of infodemic

Autor: Bernard, Guillaume, Suire, Cyrille, Faucher, Cyril, Doucet, Antoine, Rosso, Paolo

Publikováno v: Conference and Labs of the Evaluation Forum (CLEF 2022)
Conference and Labs of the Evaluation Forum (CLEF 2022), Università di Bologna, Italy, Sep 2022, Bologne, Italy. pp.18-32, ⟨10.1007/978-3-031-13643-6_2⟩

International audience; Tracking news stories in documents is a way to deal with the large amount of information that surrounds us everyday, to reduce the noise and to detect emergent topics in news. Since the Covid-19 outbreak, the world has known a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3379::4be58ee2f7e2857304474b5bc2ba4d70
https://hal.archives-ouvertes.fr/hal-03727200/file/main.pdf

Discover spatio-temporal cluster from trajectory data enhance by heterogeneous contextual knowledge using FCA and the NᴇxᴛPʀɪᴏʀɪᴛʏCᴏɴᴄᴇᴘᴛ Algorithm

Autor: Richard, Jérémy, Savarit, Guillaume, Boukhetta, Salah, Faucher, Cyril, Bertet, Karell, Demko, Christophe

The rising number of different kinds of data that can be used to describe a human trajectory (Such as GPS Coordinate, GSM, RFID, RSSI...) put in the spotlight the semantically rich trajectory. A semantic trajectory annotates semantic knowledge direct

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______166::f74e9d0a61e3d8b1d8200b30571d2656
https://hal.science/hal-03874621

Multi-Level and Multiple Aspect Semantic Trajectory Model: Application to the Tourism Domain

Autor: Cayèré, Cécile, Sallaberry, Christian, Faucher, Cyril, Bessagnet, Marie-Noëlle, Roose, Philippe, Masson, Maxime, Richard, Jérémy

Publikováno v: ISPRS International Journal of Geo-Information, Vol 10, Iss 592, p 592 (2021)
ISPRS International Journal of Geo-Information
Volume 10
Issue 9
ISPRS International Journal of Geo-Information, MDPI, 2021, 10 (9), pp.592. ⟨10.3390/ijgi10090592⟩

International audience; Here we design a semantic trajectory model responding to specific needs expressed by tourism analyst experts. Thus, this model takes into account: (i) the description of sequences of imbricated semantic segments, (ii) the defi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::41ff0101b373cadc9a4f3efef3e13311
https://www.mdpi.com/2220-9964/10/9/592