This document discusses the common properties and benefits of linking thesauri to linked data. It notes that both linked data and thesauri have agreed, externally defined structures and use context and relationships to define entities. Both also make entities uniquely identifiable, through URIs for linked data and purpose for thesauri. The document provides examples of how terms from different thesauri can be shared or linked to each other when integrating data. This allows for easier discovery of related entities and improves term definitions through wider use, while saving effort by reusing existing terms.
CNIC Information System with Pakdata Cf In Pakistan
Thesauri and Linked Data
1. Linked Data and Thesauri:
A match made in heaven (or at least the internet).
2. Linked Data / Thesauri
Common Properties:
• Agreed externally defined structure
• Context/Relationships define entities
• Uniquely identifiable entities
3. Linked Data:
Say hello to a Triple….
<http://collection.britishmuseum.org/id/object/RRC16361> <http://collection.britishmuseum.org/id/crm/P2F.has_type> <http://collection.britishmuseum.org/id/thesauri/x9214>
<http://collection.britishmuseum.org/id/object/RRC16361>
Object RRC16361…
<http://collection.britishmuseum.org/id/crm/P2F.has_type>
…is a…
<http://collection.britishmuseum.org/id/thesauri/x9214>
…spade.
4. Linked Data:
Structure comes from:
• RDF / XML (or other)
• Ontology e.g. CIDOC crm, foaf, DC, Good Relations
Context/Relationships:
• All entities are defined by all the statements made about it (all the links)
• Ontological assumption
• Namespace
Uniqueness comes from:
• URI (Unique Resource Indicator)
6. Thesaurus:
Structure comes from:
• Being a Thesaurus
• SKOS , ISO 2788, ISO 5964, ISO 25964
Context/Relationships:
• All terms are in part defined by all the other terms linked to it
• Hierarchy
• Term is a member of a named thesaurus
Uniqueness comes from:
• Purpose of a Thesaurus is to define one thing rather than another
• Uniqueness built in, Ambiguity avoided
9. Why is this useful?
• Easier to find alike things
• Term definition improved with wider use
• Saves effort
10. Two methodologies:
• Share Terms
Use a term from someone else’s Thesaurus to
categorize an entity in your data set
• Link Terms
Assert a relationship between a Term in your data set
and a Term in someone else’s
IntroductionLinked Data and Thesauri share some common propertiesIn this brief introduction we will look at these common elements and see how they can be used to cross reference concepts in any knowledge environment be it Cultural Heritage, Media, Policing etc.
The three properties that I am going suggest that Linked Data and Thesauri have most in common are One: Both have an externally defined structure.Two: Both contain elements (entities) that are defined not only by the external structure but also by their internal relationships, i.e. context.Three: Elements (entities ) in both are uniquely identifiable.
IntroductionOne, perhaps the most common, method of Enriching Cultural Heritage entails placing diverse but associated data sets one beside another. I intend this morning to briefly share the British Museum’s experience of recording and linking one such set of associated knowledge, Conservation and Scientific Research (CSR), and to pick out some issues that are both distinctive to that knowledge set and to the wider task of enrichment.
The three properties that I am going suggest that Linked Data and Thesauri have most in common are One: Both have an externally defined structure.Two: Both contain elements (entities) that are defined not only by the external structure but also by their internal relationships, i.e. context.Three: Elements (entities ) in both are uniquely identifiable.
The three properties that I am going suggest that Linked Data and Thesauri have most in common are One: Both have an externally defined structure.Two: Both contain elements (entities) that are defined not only by the external structure but also by their internal relationships, i.e. context.Three: Elements (entities ) in both are uniquely identifiable.
The three properties that I am going suggest that Linked Data and Thesauri have most in common are One: Both have an externally defined structure.Two: Both contain elements (entities) that are defined not only by the external structure but also by their internal relationships, i.e. context.Three: Elements (entities ) in both are uniquely identifiable.
The three properties that I am going suggest that Linked Data and Thesauri have most in common are One: Both have an externally defined structure.Two: Both contain elements (entities) that are defined not only by the external structure but also by their internal relationships, i.e. context.Three: Elements (entities ) in both are uniquely identifiable.
The three properties that I am going suggest that Linked Data and Thesauri have most in common are One: Both have an externally defined structure.Two: Both contain elements (entities) that are defined not only by the external structure but also by their internal relationships, i.e. context.Three: Elements (entities ) in both are uniquely identifiable.
The three properties that I am going suggest that Linked Data and Thesauri have most in common are One: Both have an externally defined structure.Two: Both contain elements (entities) that are defined not only by the external structure but also by their internal relationships, i.e. context.Three: Elements (entities ) in both are uniquely identifiable.
