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| File | Dimensione | Formato | |
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Note: https://dl.acm.org/doi/10.1145/3399715.3399939
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