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LD in Sweden, Gothenburg
2015-04-28
Hannes Ebner, PhD
hannes@metasolutions.se
Linked Data for your organisation
with EntryScape
About MetaSolutions
● Founded in 2011 by Linked Data experts
● Core product EntryScape
● Business focuses on Linked Data-centric solutions
Content
● Typical data workflows
● Use cases
● Our approach
Data workflow in a typical
organisation
1. Import
2. Terminology management
3. Metadata authoring
4. Resource management
5. Publication
6. Search
Use case - organization-specific terms
1. Import
● Existing vocabularies are imported
● E.g. subsets of Wikidata, EuroVoc, ...
2. Terminology management
● Terms are created, described and interlinked
● People collaborate in different roles to maintain a
cohesive set of terms
2. Terminology management
● Terminologies are created and maintained
● Goal: categorizing products
3. Metadata authoring
● Metadata forms are constructed
● Used to express facts, relations and categorizations
5. Search
● SEO / schema.org
Use case - product directory
Use case - publication of LOD
1. Import
● Existing data are imported and eventually converted
4. Resource management
● Curation
● Quality control
5. Publication
● Data catalogs
● Compatibility with data portals (DCAT-AP)
Terminology management
Metadata authoring
1. Browse template snippet library
3. Construct a template
(by combining template snippets, may
originate from different vocabularies)
4. Author metadata in generated form
For example: dce:title + dce:description +
dcat:publisher + dcat:contactPoint + …
2. Construct and add missing snippets
for your vocabulary to the library
Resource management
Publication
Contact me: hannes@metasolutions.se
read more at entryscape.com

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Linked data for your organisation with EntryScape

  • 1. LD in Sweden, Gothenburg 2015-04-28 Hannes Ebner, PhD hannes@metasolutions.se Linked Data for your organisation with EntryScape
  • 2. About MetaSolutions ● Founded in 2011 by Linked Data experts ● Core product EntryScape ● Business focuses on Linked Data-centric solutions
  • 3. Content ● Typical data workflows ● Use cases ● Our approach
  • 4. Data workflow in a typical organisation 1. Import 2. Terminology management 3. Metadata authoring 4. Resource management 5. Publication 6. Search
  • 5. Use case - organization-specific terms 1. Import ● Existing vocabularies are imported ● E.g. subsets of Wikidata, EuroVoc, ... 2. Terminology management ● Terms are created, described and interlinked ● People collaborate in different roles to maintain a cohesive set of terms
  • 6. 2. Terminology management ● Terminologies are created and maintained ● Goal: categorizing products 3. Metadata authoring ● Metadata forms are constructed ● Used to express facts, relations and categorizations 5. Search ● SEO / schema.org Use case - product directory
  • 7. Use case - publication of LOD 1. Import ● Existing data are imported and eventually converted 4. Resource management ● Curation ● Quality control 5. Publication ● Data catalogs ● Compatibility with data portals (DCAT-AP)
  • 8.
  • 10. Metadata authoring 1. Browse template snippet library 3. Construct a template (by combining template snippets, may originate from different vocabularies) 4. Author metadata in generated form For example: dce:title + dce:description + dcat:publisher + dcat:contactPoint + … 2. Construct and add missing snippets for your vocabulary to the library
  • 13.