Titre :

A Multiverse Graph to Help Scientific Reasoning from Web Usage: Interpretable Patterns of Assessor Shifts in GRAPHYP

Auteur(s) :

Fabre, Renaud [Auteur]
Laboratoire d'Economie Dionysien [LED]
Azeroual, Otmane [Auteur]
Schopfel, Joachim [Auteur]
Groupe d'Études et de Recherche Interdisciplinaire en Information et COmmunication - ULR 4073 [GERIICO ]
Bellot, Patrice [Auteur]
Laboratoire d'Informatique et des Systèmes (LIS) (Marseille, Toulon) [LIS]
Egret, Daniel [Auteur]
Observatoire de Paris

Titre de la revue :

Future Internet

Pagination :

147

Éditeur :

MDPI

Date de publication :

2023

ISSN :

1999-5903

Mot(s)-clé(s) en anglais :

assessor shift
geometric graph
web usage
log pattern discovery
possibilistic graphical modeling
scientific reasoning
usability testing logs

Discipline(s) HAL :

Informatique [cs]/Intelligence artificielle [cs.AI]

Résumé en anglais : [en]

The digital support for scientific reasoning presents contrasting results. Bibliometric services are improving, but not academic assessment; no service for scholars relies on logs of web usage to base query strategies for ...
Lire la suite >The digital support for scientific reasoning presents contrasting results. Bibliometric services are improving, but not academic assessment; no service for scholars relies on logs of web usage to base query strategies for relevance judgments (or assessor shifts). Our Scientific Knowledge Graph GRAPHYP innovates with interpretable patterns of web usage, providing scientific reasoning with conceptual fingerprints and helping identify eligible hypotheses. In a previous article, we showed how usage log data, in the form of ‘documentary tracks’, help determine distinct cognitive communities (called adversarial cliques) within sub-graphs. A typology of these documentary tracks through a triplet of measurements from logs (intensity, variety and attention) describes the potential approaches to a (research) question. GRAPHYP assists interpretation as a classifier, with possibilistic graphical modeling. This paper (Paper 2) shows what this approach can bring to scientific reasoning; it involves visualizing complete interpretable pathways, in a multi-hop assessor shift, which users can then explore toward the ‘best possible solution’—the one that is most consistent with their hypotheses. Applying the Leibnizian paradigm of scientific reasoning, GRAPHYP highlights infinitesimal learning pathways, as a ‘multiverse’ geometric graph in modeling possible search strategies answering research questions.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Groupement d'Études et de Recherche Interdisciplinaire en Information et Communication (GERiiCO) - ULR 4073

Source :

Harvested from HAL