The UNLV Linked Data Project provides a case study of the complex topic of Linked Open Data, from an emerging concept in librarianship to practical outcome. There was very little in the literature about how to practically implement Linked Data in digital collections, so the team decided to focus on the transformation of typical digital collections' metadata. The project made significant progress outlining technologies, tools, and models that can be implemented by librarians. This presentation covers basic concepts of Linked Data and the rationale for libraries to start preparing for the adoption of Linked Data. This is followed by a demonstration of visualization tools operating on the Linked Data generated from UNLV's digital collections.
URL: https://www.youtube.com/watch?v=xPIQBEZvz9g
Keywords: Linked Data Life Cycle, Schema alignment, PivotViewer, ContentDM, Open Refine, RelFinder, Linked Jazz Project
Author: Lampert, Cory
Publisher: Coalition for Networked Information (CNI)
Date created: 2014-06-18 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P45M
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: expositive
- Knows methods for generating RDF data from tabular data in formats such as Comma-Separated Values (CSV).
- Creating and transforming Linked Data
- Creating RDF data
- Knows methods for generating RDF data from tabular data in formats such as Comma-Separated Values (CSV).
- Knows methods for generating RDF data from tabular data in formats such as Comma-Separated Values (CSV).
- Creating RDF data
- Creating and transforming Linked Data
- Knows the "five stars" of Open Data: put data on the Web, preferably in a structured and preferably non-proprietary format, using URIs to name things, and link to other data.
- Fundamentals of Linked Data
- Linked Data principles
- Knows the "five stars" of Open Data: put data on the Web, preferably in a structured and preferably non-proprietary format, using URIs to name things, and link to other data.
- Knows the "five stars" of Open Data: put data on the Web, preferably in a structured and preferably non-proprietary format, using URIs to name things, and link to other data.
- Linked Data principles
- Fundamentals of Linked Data
- Reuses published properties and classes where available.
- RDF vocabularies and application profiles
- Designing RDF-based vocabularies
- Reuses published properties and classes where available.
- Reuses published properties and classes where available.
- Designing RDF-based vocabularies
- RDF vocabularies and application profiles
- Uses available resources for named entity recognition, extraction, and reconciliation.
- Creating and transforming Linked Data
- Mapping and enriching RDF data
- Uses available resources for named entity recognition, extraction, and reconciliation.
- Uses available resources for named entity recognition, extraction, and reconciliation.
- Mapping and enriching RDF data
- Creating and transforming Linked Data
- Uses publicly available tools to visualize data.
- Interacting with RDF data
- Visualizing RDF data
- Uses publicly available tools to visualize data.
- Uses Google FusionTables to create maps and charts.
- Uses publicly available tools to visualize data.
- Visualizing RDF data
- Interacting with RDF data
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