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. 2023;24(1):1-22.
doi: 10.1007/s00799-022-00343-0. Epub 2022 Dec 16.

Design, realization, and user evaluation of the ARCA system for exploring a digital library

Affiliations

Design, realization, and user evaluation of the ARCA system for exploring a digital library

Eleonora Bernasconi et al. Int J Digit Libr. 2023.

Abstract

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.

Keywords: Knowledge graph; Semantic enrichment; Visual search interface.

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Figures

Fig. 1
Fig. 1
Mockup of the user interface
Fig. 2
Fig. 2
Diagram describing the flow of data in the system
Fig. 3
Fig. 3
Visual exploration of properties associated with the resource lermabook:DE000059 in the RDF fragment in listing 1
Fig. 4
Fig. 4
Visual exploration of the RDF fragment in Listing 1
Fig. 5
Fig. 5
User interface
Fig. 6
Fig. 6
Sentences
Fig. 7
Fig. 7
Trace path
Fig. 8
Fig. 8
Percentage of event by type of action
Fig. 9
Fig. 9
User background
Fig. 10
Fig. 10
Completion of the comparative evaluation tasks
Fig. 11
Fig. 11
Comparative evaluation: distributions and averages-part 1
Fig. 12
Fig. 12
Comparative evaluation: distributions and averages—part 2
Fig. 13
Fig. 13
Serendipity evaluation

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