This paper presents ARCA, a software system that enables semantic search and exploration over a book catalog. The main purpose of this work is twofold: to propose a general paradigm for a semantic enrichment workflow and to evaluate a visual approach to information retrieval based on extracted information and existing knowledge graphs. ARCA has been designed and implemented following a user-centered design approach. Two different releases of the system have incrementally and iteratively developed and evaluated. The first release has evaluated the quality and usefulness of the extracted data. The second release, whose design was a refinement based on the previous evaluation results, was assessed by several users. Moreover, a comparative test with other information retrieval systems was conducted in order to study the potential added-value of the system. ARCA is employed in a real editorial scenario to visually search and explore the books of a publishing house.
2022, INTERNATIONAL JOURNAL ON DIGITAL LIBRARIES, Pages -
Design, realization, and user evaluation of the ARCA system for exploring a digital library (01a Articolo in rivista)
Bernasconi Eleonora, Ceriani Miguel, Mecella Massimo, Catarci Tiziana
Gruppo di ricerca: Human-Computer Interaction