1. Yuri de Lugt Collexis Karin Clavel TU Delft Library

2. The Collexis Company • Collexis develops and implements software for making large amounts of (un)structured data easily accessible • Founded in 1999, 40 employees • Based in USA, NL, GE • sales/development in the Netherlands (Geldermalsen) • Worldwide coverage through partnerships • Collexis grants free licenses to selected projects in developing countries

3. Customer in Library domain

4. Introduction • The main question: “Is semantic & concept search a competitive Edge?” “The role of the expert, trivial?” • Collexis introduced • Case: University Library of Wageningen • Case: University Library of Delft

5. Search Engine vs. Knowledge Engine

6. Elementary principle: Validation • Validation of: • Content • Source • Concept • Meaning and of interpretation How….? By expert involvement !! • Domain restricted • Targeted Content sources

7. The Thesaurus – The Expert • A thesaurus defines the world that we are looking at • Domain experts’ expertise is used to create a thesaurus: therefore a thesaurus is validated knowledge • Every user benefits from the knowledge the expert added to the thesaurus • Natural language is very complex; a thesaurus helps us to ‘understand’ the natural language • Find, purchase or build => validated by experts

8. 3 KnowledgeDiscovery association link information in a document collection Explore beyond existing knowledge Metadata aggregation 2 aggregation/clustering combine information per meta data and subset of documents combine information per subset of documents Ease of use, Ease of Search, Validated results 1 document - based information retrieval identify relevant terms in documents/query identify relevant terms in documents/query Levels of Ambition

9. Added value for Library • Collexis exactly knows what text is all about • including homonyms, synonyms, multi-lingual aspects, Hierarchy knowledge • Search and retrieval made easy • Multiple search phrases, Combining of sources, Concept-based search, Classification/keyword tagging • Using the existing information • Finding experts, Knowledge actively used within the curriculum, Detection of plagiarism

10. Case: Wageningen UR Library • Sources: • Article and Experts • Search on: • Content and Metadata • Ease of use, Ease of Search • Deep linking to: • Repository • Yellow Pages (WaY)

11. Definitions • Information retrieval (IR) the science of searching for information in documents, searching for documents themselves, searching for metadata which describe documents, or searching within (hypertext-)databases for text, sound, images or data. • Knowledge Management (KM) refers to a range of practices used by organizations to identify, create, represent, and distribute knowledge for reuse and learning across the organization Gathering the information Doing something useful with it From: www.wikipedia.org

12. The main Questions • “Is semantic & concept search a competitive Edge?” • “The role of the expert, trivial?”

13. The Case: TU Delft Library • http://tulib.library.tudelft.nl • Goal:Online Information Literacy Instruction that students will actually use: • Interactive • Intuitive • Fun • What you see is what you get

14. Demonstration Wednesday, October 8, 2014

15. Online user survey • 12 respondents so far… • Students (mostly BSc) and Professors • 9/12 succeed a specific task using the Tag Cloud Search • 8/12 like using it • 8/12 think it’s useful

16. Future plans • Can the Tag Cloud Search completely replace the traditional menu? • Improve thesaurus based on user behaviour