In this demo paper, we present ARCA, a visual-search based system that allows the semantic exploration of a bookstore. Navigating a domain-specific knowledge graph, students and researchers alike can start from any specific concept and reach any other related concept, discovering associated books and information. To achieve this paradigm of interaction we built a prototype system, flexible and adaptable to multiple contexts of use, that extracts semantic information from the contents of a books' corpus, building a dedicated knowledge graph that is linked to external knowledge bases. The web-based user interface of ARCA integrates text-based search, visual knowledge graph navigation, and linear visualization of filtered books (ordered according to multiple criteria) in a comprehensive coordinated view aimed at exploiting the underlying data while avoiding information overload and unnecessary cluttering. A proof-of-concept of ARCA is available online at http://arca.diag.uniroma1.it

ARCA. Semantic exploration of a bookstore / Bernasconi, Eleonora; Ceriani, Miguel; Mecella, Massimo; Catarci, Tiziana; Capanna, Maria Cristina; DI FAZIO, Clara; Marcucci, Roberto; Pender, Erik; Maria Petriccione, Fabio. - (2020). (Intervento presentato al convegno AVI 2020 International Conference on Advanced Visual Interfaces tenutosi a Ischia; Italy) [10.1145/3399715.3399939].

ARCA. Semantic exploration of a bookstore

Eleonora Bernasconi;Massimo Mecella;Tiziana Catarci;Maria Cristina Capanna;Clara Di Fazio;
2020

Abstract

In this demo paper, we present ARCA, a visual-search based system that allows the semantic exploration of a bookstore. Navigating a domain-specific knowledge graph, students and researchers alike can start from any specific concept and reach any other related concept, discovering associated books and information. To achieve this paradigm of interaction we built a prototype system, flexible and adaptable to multiple contexts of use, that extracts semantic information from the contents of a books' corpus, building a dedicated knowledge graph that is linked to external knowledge bases. The web-based user interface of ARCA integrates text-based search, visual knowledge graph navigation, and linear visualization of filtered books (ordered according to multiple criteria) in a comprehensive coordinated view aimed at exploiting the underlying data while avoiding information overload and unnecessary cluttering. A proof-of-concept of ARCA is available online at http://arca.diag.uniroma1.it
2020
AVI 2020 International Conference on Advanced Visual Interfaces
knowledge graph; books' catalog; visual search interface
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
ARCA. Semantic exploration of a bookstore / Bernasconi, Eleonora; Ceriani, Miguel; Mecella, Massimo; Catarci, Tiziana; Capanna, Maria Cristina; DI FAZIO, Clara; Marcucci, Roberto; Pender, Erik; Maria Petriccione, Fabio. - (2020). (Intervento presentato al convegno AVI 2020 International Conference on Advanced Visual Interfaces tenutosi a Ischia; Italy) [10.1145/3399715.3399939].
File allegati a questo prodotto
File Dimensione Formato  
Bernasconi_ARCA_2020.pdf

accesso aperto

Note: https://dl.acm.org/doi/10.1145/3399715.3399939
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 772.72 kB
Formato Adobe PDF
772.72 kB Adobe PDF
Bernasconi_Indice_ARCA_2020.pdf

accesso aperto

Tipologia: Altro materiale allegato
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 2.95 MB
Formato Adobe PDF
2.95 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1443631
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 5
social impact