CHEST: A Linked Open Data-based Application to Annotate and Carry Out Learning Tasks About Cultural Heritage

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Abstract

There is a deluge of Cultural Heritage Linked Open Data containing detailed information (e.g., location, architectural styles, etc.). Teachers could use this Open Data to generate meaningful learning tasks. However, most teachers are not using this information. This may be because they are not aware of these information sources or because they have technological difficulties in accessing the information (as they need to know Semantic Web related technologies). To overcome that limitation, this demonstration paper presents Cultural Heritage Educational Semantic Tool (CHEST), a distributed application aimed at supporting teachers in authoring Cultural Heritage learning tasks based on existing Cultural Heritage Linked Open Data. Teacher annotations are published as Linked Open Data, thus facilitating the reuse of such data by other teachers (using CHEST or other applications). This new application also supports students in the completion of the learning tasks created and/or reused by their teachers. CHEST can be used by both teachers and students using a web-based desktop interface or Android/iOS mobile apps.

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García-Zarza, P., Bote-Lorenzo, M. L., Vega-Gorgojo, G., & Asensio-Pérez, J. I. (2022). CHEST: A Linked Open Data-based Application to Annotate and Carry Out Learning Tasks About Cultural Heritage. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13450 LNCS, pp. 441–447). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-16290-9_34

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