表达复杂知识的探索与推荐:以古典音乐信息为例

Pasquale Lisena, Raphael Troncy
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引用次数: 1

摘要

在数字人文学科中,主要的挑战之一是捕获数据模型和本体中复杂信息的结构,特别是当术语之间的连接不是微不足道的时候。这是图书管理员音乐数据的典型情况。在本章中,我们将以DOREMUS本体为例,提供一些表示复杂知识的良好实践。我们还展示了利用本体的知识图的各种应用,包括探索性搜索引擎、推荐系统和能够回答古典音乐问题的对话代理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Representing Complex Knowledge for Exploration and Recommendation: The Case of Classical Music Information
In Digital Humanities, one of the main challenge consists in capturing the structure of complex information in data models and ontologies, in particular when connections between terms are not trivial. This is typically the case for librarian music data. In this chapter, we provide some good practices for representing complex knowledge using the DOREMUS ontology as an exemplary case. We also show various applications of a Knowledge Graph leveraging on the ontology, ranging from an exploratory search engine, a recommender system and a conversational agent enabling to answer classical music questions.
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