ARCA. Semantic exploration of a bookstore

Proceedings of the International Conference on Advanced Visual Interfaces Pub Date : 2020-09-28 DOI:10.1145/3399715.3399939

Eleonora Bernasconi, Miguel Ceriani, Massimo Mecella, T. Catarci, M. C. Capanna, Clara di Fazio, R. Marcucci, Erik Pender, Fabio Maria Petriccione

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引用次数: 7

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

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ARCA。书店的语义探索

在这篇演示论文中，我们介绍了ARCA，一个基于视觉搜索的系统，它允许对书店进行语义探索。通过浏览特定领域的知识图谱，学生和研究人员都可以从任何特定的概念开始，到达任何其他相关的概念，发现相关的书籍和信息。为了实现这种交互范例，我们构建了一个原型系统，灵活且可适应多种使用上下文，从图书语料库的内容中提取语义信息，构建一个与外部知识库链接的专用知识图。ARCA的基于web的用户界面将基于文本的搜索、视觉知识图导航和过滤图书的线性可视化(根据多个标准排序)集成在一个全面协调的视图中，旨在利用底层数据，同时避免信息过载和不必要的混乱。ARCA的概念验证可在http://arca.diag.uniroma1.it网站上获得

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Proceedings of the International Conference on Advanced Visual Interfaces

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