# Presentation: 299795

## UpdataCapital The ContextThe ApplicationLatest technical developments

## The Human Touch

**Searching for documents or knowledge?**
- Knowledge is embedded in people
- Collexis behaves like a (human) expert
- Collexis finds information, experts and organizations
- Collexis enhances Knowledge sharing and Collaboration

## Human Communication

-  Humans communicate in explicit language
-  including many variations and ambiguities
-  final aim of communication is sharing “concepts”
-  Concepts are “real life entities”
-  constituting the reference framework of human knowledge

## Text search versus Concept search

- Word driven				Subject driven (concepts)
- Only exact words			Also synonyms and					variants (normalization)
- No relative weight of words		Relative weight of subjects					(conceptual fingerprint)
- Low accuracy				High accuracy
- Moderate performance		High performance
- Limited size of search text		No limitation in search text 					size

## Basic Issues

**Coordination and facilitation of Information Sharing**
- People/Experts
- Agencies/Departments/Organisations
- Document/Projects
- Interrelationship

## Basic elements of Collexis’ Technology

- Collexis Conceptual FingerPrinting
- Thesauri
- Data and metadata validation
- Flexible organisation/communication

## The power of Fingerprints

- Collexis is based on the principle of Fingerprinting
- Fingerprint: a profile of a piece of information
- A Fingerprint contains a list of weighted concepts
- Concepts are derived from a Thesaurus
- Fingerprint characteristics: unique and small

## Basic thinking: Basic Functionality

**Basic thinking: Basic Functionality**

## Fingerprints (CFP’s)

- consolidated knowledge

## The Collexis Fingerprinting concept

-                                         100%  Malaria                  35% Agencies                30%  Enthusiastic                28%  Collaboration               27%  Funding               27%  Africa              25% Science          15%  Dedications          15%  Applaud          15%  agenda          14%  Inaccurate         14%  advocacy         13%  hope         13%  research funding         13%  Fund Raising

- The Collexis Fingerprinting concept

## Defining a Search

## The magic of Fingerprinting

**contents fingerprints**

- add

- add

** ****organization **
** ****fingerprint**

- Articles,
- books

## The construction of  Knowlets®

**Semantic types**
**Co-occurrence data**

**The**** ****construction of  Knowlets®**

## The “knowlet®” 

- The “knowlet®”
- Connecting: content, people, organisations

## content, people, organisations

- Publications
- Molecular Databases
- Image databases
- Patents
- Events
- Calls

## Simplified Thesaurus example

- Airplane

- Means of transport

- Train

- Automobile

- Car

- Truck

- Lorry

- Motor Vehicle

- Plane

## Abstraction Component

- Text text text Text more text text Text text more text Text text text Text more and more text text Text text text Text text text etc. Text text text Text more text text Text text more text Text text text Text more and more text text Text text text Text text t text text Text more text text Text text more text Text text text Text more and more text text Text text text Text text text
- Text text text Text more text text Text text more text Text text text Text more and more text text Text text text Text text text etc.
- more text text Text text text Text text text
- Text text text Text more text text Text text more text Text text text Text more and more text text Text text text Text text text etc.
- more and more text text Text text text Text text text
- Text text text Text more text text Text text more text Text text text Text more and more text text Text text text Text text text etc.
- more text text Text text text Text text text
- Text text text Text more text text Text text more text Text text text Text more and more text text Text text text Text text text etc.
- text Text text text etc.
- more text text Text text text Text text text
- Text text text Text more text text Text text more text Text text text Text more and more text text Text text text Text text text etc.

- Search text or Document

- Removing
- Stop words

- Normalization

- Concept Lookup

- Frequency

- Similarity

- Specificity

- Determination of relevant concepts

- Determination of concept weight

- Selected
- Concepts

- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept

- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept
- Concept

- Search / Document
- Fingerprint

- Source

- Result

- Clustering

## Data versus Metadata

- Name

- Address

- ID number

**Metadata**

- Text
- Including
-  unstructured
- metadata

- Fingerprint

- Name

- Address

- ID number

**Metadata**

- Attach metadata to Fingerprint

## Collexis characteristics

- Precision: only relevant documents are shown
- Recall: all relevant documents should be shown even when narrowing the search
- Performance: even in millions of documents, search results are provided instantly
- Human approach: not only documents, but also experts and organizations are the result of a search
- Structured & non-structured data: searching in both sources is possible in one action

## The Collexis Solution

**Omnivore**	Collexis accepts structured and unstructured information
**Adaptable****	**Collexis respects existing databases and does not require 	large hardware investments
**Accurate and sensitive****	**Collexis Fingerprints are highly sensitive and accurate, and 	can be manipulated to optimize search results
**Fast in any language****	**Collexis works across languages. Results are presented in 	milliseconds
**Immediate acceptance*****	***Collexis is easy to work with as it functions like a human 	mind

## Nature Publishing Groupabout Collexis

- “While equivalents to some of the component parts of the technology exist, taken as a whole package it seems to me by far the most innovative software to date for research networking/many aspects of the research/electronic publishing enterprise.
- The system seems to go well beyond existing systems in terms of overall coherence, dynamic linking and Web interfacing”.
- Declan Butler
- Nature Publishing Group

## Some Collexis clients:

- National Institute of Health
- World Health Organization
- Nature Publishing Group, London, UK
- Elsevier Science, New York, USA
- The Netherlands Organization for Scientific Research (NWO)
- Ministry of Science, The Netherlands
- Ministry of Education, The Netherlands
- Ministry of Economic Affairs, The Netherlands
- Compendium, The Netherlands
- World Bank, Washington, USA
- United Nations, Food & Agriculture Organization, Rome, Italy
- National Research Councils, like INSERM, GTZ, MRC, etc.

## Executive Presentation

- _[Knowledge Management](file:///C:/Documents%20and%20Settings/cumminss/Local%20Settings/Temporary%20Internet%20Files/OLK9/KM.ppt)_

- _[Collexis](file:///C:/Documents%20and%20Settings/cumminss/Local%20Settings/Temporary%20Internet%20Files/OLK9/Customer%20Solution%20Architecture.ppt)__[® Architecture](file:///C:/Documents%20and%20Settings/cumminss/Local%20Settings/Temporary%20Internet%20Files/OLK9/Customer%20Solution%20Architecture.ppt)_

- _[Collexis](file:///C:/Documents%20and%20Settings/cumminss/Local%20Settings/Temporary%20Internet%20Files/OLK9/NowCollexis.ppt)__[® & Fingerprinting Overview](file:///C:/Documents%20and%20Settings/cumminss/Local%20Settings/Temporary%20Internet%20Files/OLK9/NowCollexis.ppt)_

- _[RETURN](file:///C:/Documents%20and%20Settings/cumminss/Local%20Settings/Temporary%20Internet%20Files/OLK9/Return.ppt)_