1. Primo and the Semantic Web Dominique Ritze Mannheim University Library

2. Linked [Open] Data Cloud Which? How? Why?

3. Overview Why? How? Client-side enrichment Server-side enrichment Realization in Primo Which data? Examples in Primo

4. Why use LD? Providing additional information Wikipedia articles External links Multilingual semantic search No language barriers No knowledge about technical terms necessary “intelligent“ search

5. Enrichment

6. Client-side Enrichment Pro: Provide additional information Minimal-invasive solution On-the-fly presentation Load on the client Contra: Load on the client Data not searchable No control over the data

7. Client-side Enrichment Examples: Additional links to resources, e.g. Wikipedia Implementation Query service to get further informationen, e.g. by using SPARQL Integrate information into the website, e.g. by using JavaScript

8. Server-side Enrichment Pro: Searchable data Data is integrated with other data in the system Load on the server Contra: Load on the server Replication of the data No current data Problems with licences

9. Server-side Enrichment Example: Classification information Possibility to refine the search Implementation: Loading the data into the database Additional information are part of the website

10. Discovery Systems & LD No discovery system provides general LD support Workarounds Requirements: Identification of resources (URI) Access mechanisms for LD Plugin mechanisms Proper presentation

11. Primo Plugin-API Example:

12. Primo Plugin-API Client-side enrichment using JavaScript Allows to develop JavaScript plugins for Primo Abstraction from Primo Plugins can be used to enrich Primo

13. Primo Plugin-API

14. PermaLink Creates permanent link (URI) per resource unique identification, cool URIs [1] First part of the link: http://link.bib.uni-mannheim.de/primo/ Second part of the link: Resource ID [1] http://www.w3.org/TR/cooluris/

15. PermaLink Example

16. Database Recommender Recommends databases according to the search terms Better and easier research Uses a web service (SuUB Bremen) to assign subjects Based on linguistic and statistic analysis Assignment subject – database performed by subject specialists

17. Database Recommender Recommend databases for the entered keywords

18. Wikipedia Article Shows Wikipedia articles of authors Additional information First paragraph is directly shown, further link to the articles itself Uses assignment author – name authority file Linkresolver to get the article Next step: DBPedia

19. Wikipedia Article Displays Wikipedia articles for authors

20. Wikipedia Article

21. Idea: Connecting publications and research data On which data does a publication base on? Links between research data and publications are available (InFoLiS-project) Additional information, facilitates research

22. Why LD support? Need some services to provide the data Need to query the service Need to parse the different formats Need an implementation for each plugin LD provides the data in a standardized way Offers new possibilities, saves a lot of time and effort

23. Conclusion LD can be useful for libraries Client- and server-side enrichment feasability? searchability? replication? Primo Plugin-API client-side solution PermaLink, Wikipedia Article, Database Recommender Additional effort without LD support

24. Thank you for your attention! dominique.ritze@bib.uni-mannheim.de