Yuri de Lugt Collexis Karin Clavel TU Delft Library.

Yuri de Lugt

Collexis

Karin Clavel

TU Delft Library

Wednesday, April 19, 2023

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

Customer in Library domain

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



Search Engine vs. Knowledge Engine


Elementary principle: Validation

• Validation of:– Content– Source– Concept– Meaning and of interpretation

How….? By expert involvement !!– Domain restricted– Targeted Content sources


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


Levels of Ambition

document-based information retrievalidentify relevant terms in documents/query

aggregation/clusteringcombine information per subset of documents

associationlink information in a document collection

Ease of use, Ease of Search, Validated results

identify relevant terms in documents/query

Metadata aggregationcombine information per meta data and subset of documents

KnowledgeDiscovery

Explore beyond existing knowledge

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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


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)



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

The main Questions

• “Is semantic & concept search a competitive Edge?”

• “The role of the expert, trivial?”


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

Demonstration


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

Future plans

• Can the Tag Cloud Search completely replace the traditional menu?

• Improve thesaurus based on user behaviour

Yuri de Lugt Collexis Karin Clavel TU Delft Library.

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