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The HyperBagGraph DataEdron: An Enriched Browsing Experience of Datasets / Ouvrard, Xavier (CERN ; Geneva U.) ; Le Goff, Jean-Marie (CERN) ; Marchand-Maillet, Stéphane (Geneva U.)
Traditional verbatim browsers give back information linearly according to a ranking performed by a search engine that may not be optimal for the surfer. The latter may need to assess the pertinence of the information retrieved, particularly when s·he wants to explore other facets of a multi-facetted information space. [...]
2020 - 13 p. - Published in : 10.1007/978-3-030-38919-2_30
In : 46th International Conference on Current Trends in Theory and Practice of Informatics (SOFSEM 2020), Limassol, Cyprus, 20 - 24 Jan 2020, pp.362-374

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(91)

Exchange-based diffusion in Hb-Graphs: Highlighting complex relationships in multimedia collections / Ouvrard, Xavier (CERN ; U. Geneva (main)) ; Le Goff, Jean-Marie (U. Geneva (main)) ; Marchand-Maillet, Stéphane (CERN)
Highlighting important information of a network is commonly achieved by using random walks related to diffusion over such structures. Complex networks, where entities can have multiple relationships, call for a modeling based on hypergraphs. [...]
2020 - 36 p. - Published in : 10.1007/s11042-020-09176-y Fulltext: PDF;

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(58)

Hyper-bag-graphs and their applications: Modeling, Analyzing and Visualizing Complex Networks of Co-occurrences / Ouvrard, Xavier Eric
Obtaining insights in the tremendous amount of data in which the Big Data era has brought us, requires to develop specific tools, that are not only summaries of data through classical charts and tables, but that allow full navigation and browsing of a dataset [...]
CERN-THESIS-2020-048 - 281 p.

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(43)

Exchange-Based Diffusion in Hb-Graphs: Highlighting Complex Relationships / Ouvrard, Xavier (U. Geneva (main) ; CERN) ; Le Goff, Jean-Marie (CERN) ; Marchand-Maillet, Stéphane (U. Geneva (main))
Most networks tend to show complex and multiple relationships between entities. Networks are usually modeled by graphs or hypergraphs; nonetheless a given entity can occur many times in a relationship: this brings the need to deal with multisets instead of sets or simple edges. [...]
arXiv:1809.00190.- 2018-11-01 - 6 p. - Published in : 10.1109/CBMI.2018.8516525 Fulltext: PDF; Fulltext from Publisher: PDF;

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(28)

Co-precipitation Du Thorium Avec Uo2 Comme Phase D'accueil / Rousseau, G ; Grambow, B ; Fattahi, M ; Ouvrard, G
2000.
IN2P3 Publications database

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(22)

Collaboration Spotting Cite: An Exploration System for the Bibliographic Information of Publications and Patents / Rattinger, André (CERN ; Graz, Tech. U.) ; Goff, Jean-Marie (CERN) ; Guetl, Christian (Graz, Tech. U.)
Collaboration Spotting is a knowledge discovery web platform that visualizes linked data as graphs. This platform enables users to perform operations to manipulate the graph to see and explore different facets of complex networks with multiple node and edge types. [...]
2019 - 7 p. - Published in : 10.5220/0008366105480554
In : The 11th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2019), Vienna, Austria, 17 - 19 Sep 2019, pp.548-554

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(11)

INFOL: Interactive information retrieval
CERN-Technology-Note-D43. - No date. - 1 p.
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(11)

TABLOID, information retrieval program
CERN-Technology-Note-D44. - 1974. - 2 p.
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(10)

Particle physics INSPIREs information retrieval
Published in: CERN Courier Volume 50, Number 3, April 2010
Geneva : CERN, 2010

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10.

(9)

A Research Graph dataset for connecting research data repositories using RD-Switchboard / Aryani, Amir (Australian Natl. U., Canberra) ; Poblet, Marta (RMIT U.) ; Unsworth, Kathryn (Monash U.) ; Wang, Jingbo (Australian Natl. U., Canberra (main)) ; Evans, Ben (Australian Natl. U., Canberra (main)) ; Devaraju, Anusuriya (CSIRO Mineral Research) ; Hausstein, Brigitte (GESIS) ; Klas, Claus-Peter (GESIS) ; Zapilko, Benjamin (GESIS) ; Kaplun, Samuele (CERN)
This paper describes the open access graph dataset that shows the connections between Dryad, CERN, ANDS and other international data repositories to publications and grants across multiple research data infrastructures. The graph dataset was created using the Research Graph data model and the Research Data Switchboard (RD-Switchboard), a collaborative project by the Research Data Alliance DDRI Working Group (DDRI WG) with the aim to discover and connect the related research datasets based on publication co-authorship or jointly funded grants. [...]
2018 - 9 p. - Published in : Scientific Data 5 (2018) 180099 Fulltext: PDF;

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