Editorial of the Special issue on Cultural heritage and semantic web

IF 3 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Semantic Web Pub Date : 2022-07-28 DOI:10.3233/sw-223187

Mehwish Alam, Victor de Boer, E. Daga, Marieke Van Erp, E. Hyvönen, Albert Meroño-Peñuela

引用次数: 2

Abstract

Guillermo Vega-Gorgojo, Eduardo Gómez-Sánchez, Juan I. Asensio-Pérez, Sergio Serrano-Iglesias, and Ale-jandra Martínez-Monés. The paper presents Casual Learn , an application that proposes ubiquitous learning tasks about Cultural Heritage. Casual Learn leverages a dataset of 10,000 contextualized learning tasks that were semi-automatically generated out of open data from the Web. Casual Learn offers these tasks to learners according to their physical location. For example, it may suggest describing the characteristics of the Gothic style when passing by a Gothic Cathedral. Additionally, Casual Learn has an interactive mode where learners can geo-search available tasks.

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《文化遗产与语义网》特刊编辑

Guillermo Vega-Gorgojo, Eduardo Gómez-Sánchez, Juan I. asensio - psamurez, Sergio Serrano-Iglesias和Ale-jandra Martínez-Monés。本文介绍了Casual Learn，一个提出关于文化遗产的泛在学习任务的应用程序。Casual Learn利用了一个包含10,000个上下文化学习任务的数据集，这些任务是从Web上的开放数据中半自动生成的。Casual Learn根据学习者的实际位置为他们提供这些任务。例如，当经过一座哥特式大教堂时，它可能会建议描述哥特式风格的特征。此外，Casual Learn有一个互动模式，学习者可以在其中搜索可用的任务。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Semantic Web COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

8.30

自引率

6.70%

发文量

期刊介绍： The journal Semantic Web – Interoperability, Usability, Applicability brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas. We especially welcome papers which add a social, spatial, and temporal dimension to Semantic Web research, as well as application-oriented papers making use of formal semantics.