This handbook teaches how to unlock the value of existing metadata through cleaning, reconciliation, enrichment and linking, as well as how to streamline the process of new metadata creation. It introduces the key concepts related to metadata standards and Linked Data and how they can be practically applied to existing metadata. Chapters are dedicated to modeling, cleaning, reconciling, enriching, and publishing one's data.
Keywords: Libraries, Archives, and Museums (LAMs), Linked Open Data (LOD), HTTP URIs, Controlled vocabulary, Simple Knowledge Organization System (SKOS), Semantic Web
Author: Verborgh, Ruben
Publisher: Facet Publishing
Date created: 2014-06-19 04:00:00.000
Time required: P5H
Educational use: professionalDevelopment
Educational audience: teacher-educationSpecialist
Interactivity type: mixed
- Cleans a dataset by finding and correcting errors, removing duplicates and unwanted data.
- Knows Simple Knowledge Organization System, or SKOS (2009), an RDF vocabulary for expressing concepts that are labeled in natural languages, organized into informal hierarchies, and aggregated into co
- Reuses published properties and classes where available.
- 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.
- Recognizes the desirability of a published namespace policy describing an institution's commitment to the persistence and semantic stability of important URIs.
- Understands that to be "dereferencable", a URI should be usable to retrieve a representation of the resource it identifies.
- Uses available resources for named entity recognition, extraction, and reconciliation.