Výsledky vyhledávání - "Kotzinos, D."

Towards a Semantic Indoor Trajectory Model

Autor: Kontarinis, A., Karine Zeitouni, Marinica, C., Vodislav, D., Kotzinos, D.

Publikováno v: Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference(EDBT/ICDT 2019)
2nd International Workshop on "Big Mobility Data Analytics" (BMDA) with EDBT 2019
2nd International Workshop on "Big Mobility Data Analytics" (BMDA) with EDBT 2019, Mar 2019, Lisbon, Portugal
Scopus-Elsevier

International audience; In this paper we present a Semantic Indoor Trajectory Model aimed at supporting the design and implementation of context-aware mobility data mining and statistical analytics methods. Motivated by a compelling museum case study

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d52f6a0d6a4fd2c6f6db889607685b7

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Towards a Better Understanding of Museum Visitors' Behavior through Indoor Trajectory Analysis

Autor: Kontarinis, A., Marinica, C., Vodislav, D., Karine Zeitouni, Krebs, A., Kotzinos, D.

Publikováno v: Digital Presentation and Preservation of Cultural and Scientific Heritage
Seventh International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP2017)
Seventh International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP2017), Sep 2017, Burgas, Bulgaria. pp.19-30
Scopus-Elsevier

International audience; Nowadays, electronic museum guides have evolved to a point that can act as navigational and informational devices in the museum context; thus they also enable the collection of large volumes of spatiotemporal visitor movement

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::077995c7c601436340e7ed25fbfd48c4
https://hal.archives-ouvertes.fr/hal-01700609

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Summarizing linked data RDF graphs using approximate graph pattern mining

Autor: Zneika M., Lucchese C., Vodislav D., Kotzinos D.

Publikováno v: EDBT'16-19th International Conference on Extending Database Technology, pp. 684–685, Bordeaux, France, 15-18 March 2016
info:cnr-pdr/source/autori:Zneika M.; Lucchese C.; Vodislav D.; Kotzinos D./congresso_nome:EDBT'16-19th International Conference on Extending Database Technology/congresso_luogo:Bordeaux, France/congresso_data:15-18 March 2016/anno:2016/pagina_da:684/pagina_a:685/intervallo_pagine:684–685

The Linked Open Data (LOD) cloud brings together infor- mation described in RDF and stored on the web in (possi- bly distributed) RDF Knowledge Bases (KBs). The data in these KBs are not necessarily described by a known schema and many times it is ex

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::62e320038d548e9fbcd0b8d120c2a58b

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