LOD Lab, Academia Sinica Center for Digital Cultures
Given that sharing knowledge and open data are gaining global currency, the Academia Sinica Center for Digital Cultures, taking research as its principle focus, is converting metadata to Linked Open Data from various of cultural heritage institutions (libraries, archives, and museums), academic fields (anthropology, biology, art, and history), and media (texts, books, audio, images, specimens, etc.). By linking to data across the globe, our goal is to provide a basis for innovative research that has a larger scope and delivers a greater impact.
Linked Open Data (LOD) is one of the most important steps to fulfill the vision of the Semantic Web.Through converting to LOD, various types of data including research materials are turned into RDF-based data sets, which are published on public open data platforms. As a result, data can be semantically linked together in a machine-readable way to break the boundaries of different contexts and develop into big data, enhancing the dissemination and reusability of information.
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Interdisciplinary
Co-creationInterdisciplinary
Co-creationInterdisciplinary integration, cross-domain experiments. Using digital technology to enrich the research materials and co-create the value of digital assets.
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Open Sharing
Open Sharing
Making research findings open to public access and co-sharing.
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Linking to the world
Linking to the world
Establishing meaningful linkages between data collected from different sources according to the standards of the semantic web and technology for machine-readable processing, in order to connect to the world.
Linked Open Data (LOD) is one of the most important steps to fulfill the vision of the Semantic Web.Through converting to LOD, various types of data including research materials are turned into RDF-based data sets, which are published on public open data platforms. As a result, data can be semantically linked together in a machine-readable way to break the boundaries of different contexts and develop into big data, enhancing the dissemination and reusability of information.