Linked Data for Cultural Heritage
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".
Deadline for manuscript submissions: closed (28 March 2021) | Viewed by 11695
Special Issue Editor
Interests: software engineering; user modeling; human–computer interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cultural heritage involves a great variety of data that have to be communicated to a large audience. Linked data refers to all data that are published on the Web using standards and principles to set hyperlinks between data from different sources. The Internet of Things aims at providing smart integration of cultural data, applications, and services. Furthermore, the Semantic Web supports the presentation of structured data that are meant to be comprehended by many users with different characteristics, interests, and background knowledge. For this purpose, cultural informatics use different methods, which may include machine learning, decision making, data visualization, and data processing, to improve human–computer interaction and the presentation of these data.
The goal in this Special Issue is twofold: a) to broaden the scope and explore linked data for culture and b) to include the latest developed technologies providing smart integration of cultural data, applications, and services. Authors are invited to submit papers on original and unpublished research and practical applications concerning linked data for cultural heritage. This may involve: linked open data, data mining, social media analytics, user modeling and user adapted interaction, cultural informatics, evaluation of cultural software, Semantic Web and cultural data, the Internet of Things in the Cultural Heritage, machine learning in cultural heritage, multi-criteria decision making in cultural software, etc.
Prof. Dr. Katerina Kabassi
Guest Editor
Manuscript Submission Information
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Keywords
- Linked Open data
- Data mining
- Social media analytics
- User modeling and user-adapted interaction
- Cultural informatics
- Evaluation of cultural software
- Semantic Web and cultural data
- Internet of Things in cultural heritage
- Machine learning in cultural heritage
- Multi-criteria decision making in cultural software
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