Presentation by Yuri de Lugt. Presentation structure Definitions of knowledge management Forms of knowledge Knowledge infrastructure Collexis background.

Presentation by Yuri de Lugt

Presentation structure

• Definitions of knowledge management

• Forms of knowledge

• Knowledge infrastructure

• Collexis background

• Collexis application examples

• Demonstrations (optional)

Definitions Knowledge Management

Collexis definitions on KM

• Data “Structured data” (data, stored set of a meaningful combination of characters and symbols)

• Information “Data with ADDED value for the receiver”

• Knowledge“Combined information and experience in the minds of people”

“Knowing how to act to retrieve optimal added value”

• CompetenceCombination of Knowledge, skills and behavior that leads to an essential contribution to achieving the goals of the business

Collexis definitions on KM

• Knowledge management:“Creating an enviornment in wich knowledge will retrieve

maximum added value”

“Actions and Rules based on a consistent strategy witch enables an organisation and her employees to use the available knowledge as a strategic production factor for optimal performance.”

Forms of Knowledge

To perform ‘Knowledge Management’ one needs to know what forms of Knowledge are there.

‘Forms’ of Knowledge

• Explicit Knowledge– Stored, Transferable Knowledge.

– Handbooks, Information Systems, Procedures, etc.

– Information

• Tacit (implicit) Knowledge– In peoples minds

– Improved by experience

– Not stored, hard to store

Knowledge transformation

Tacit

Tacit

Explicit

ExplicitFrom From

To To

Social

Internal

External

Combine

•Copy by seeing

•Imitate

•Master-student

•Report

•Visualize

•Modelling

•Merge

•Recombine & systemize

•Learn by doing

Collexis definitions on KM

Thus:

• Knowledge is not manageable

• Only the circumstances in which Knowledge can be explored best are manageable

• Only explicit knowledge can be stored

• Implicit knowledge can be made accessible

► Collexis facilitates the optimum circumstances to explore and develop knowledge.

The Knowledge infrastructure

To find out where Collexis can be of use, we must explore the Knowledge infrastructure

Knowledge infrastructure

Structure

& processesIT

ManagementCulture

Knowledge flow

•Develop

•Share

•Use

•Evaluate

3 Instrument Groups

Employee Management PROCES

& STRUCTURe

Information Technology

IT

Strategy

© Human Connection 2000

Collexis & Knowledge management

• Collexis facilitates:

Retrieving information (portals, search and retrieval)

Merging information to support Knowledge processes(dynamic categorization, heat maps, content graphs, etc.)

Access knowledge by identifying experts (expert finder)

Analyzing information to retrieve knowledge (semantic web)

Information mining (semantic web, heat maps, content graphs)

►How ?

Collexis Functions

Content Resources

Business CasesTools

Collexis Approach

Collexis FunctionsBusiness Cases

Tools

Collexis Approach

Documents

WebXML

Databases

cont

ent

Business CasesTools

Collexis Approach

Documents

WebXML

Databases

cont

ent

Fingerprinting

Aggregation

Associative Concept Graphs

Homonym detection

ConceptMaps

Structured data

Collexis Approach

Fingerprinting

Aggregation

Associative Concept Graphs

Homonym detection

ConceptMaps

Structured dataVocabulary search,

textual search

Who is Who

Semantic Networks

Specialized Search

Dynamic Portals

Gap analysisCompetitor

Analysis

app

licat

ion

s

information mining

information matching / searching

Documents

WebXML

Databases

cont

ent

Collexis Approach

Fingerprinting

Aggregation

Associative Concept Graphs

Homonym detection

ConceptMaps

Structured dataVocabulary search,

textual search

Who is Who

Semantic Networks

Specialized Search

Dynamic Portals

Gap analysisCompetitor Analysis

app

licat

ion

s

information mining

information matching / searching

level 1:

level 2:

level 3:

levels of information management

Documents

WebXML

Databases

cont

ent

Collexis Approach

Fingerprinting

Aggregation

Associative Concept Graphs

Homonym detection

ConceptMaps

Structured dataVocabulary search,

textual search

Who is Who

Semantic Networks

Specialized Search

Dynamic Portals

Gap analysisCompetitor Analysis

app

licat

ion

s

information mining

information matching / searching

level 1: use of normalization, language independency,synonyms, matching,thesaurus / vocabulary

level 2: use of explicit links, thesaurus hierarchy,contextual information

level 3: use of cooccurrence, concept clustering,ontologies

levels of information management

Documents

WebXML

Databases

cont

ent

Collexis

Why it was created and how it works

One Million Hit Syndrome

• Billions of gigabytes of information is available

• Is this bad news or good news?

• How to manage?– Human indexing is too expensive

– Automatic indexing is usually not advanced enough

– Keyword search provides too little or too much

Information Abundance

• Increasing amount of digital information in organizations• Stored in different forms and different formats • Spread over a variety of databases and archives• Internet adds staggering volumes of information

The Human Touch

• Store Explicit Knowledge in (relational) thesauri• Use free texts and content relations• Explore and use linguistic techniques

• Searching for documents or knowledge?

– Knowledge is embedded in people– Collexis behaves like a (human)

expert– Collexis finds information, experts

and organizations– Collexis supports knowledge

exploration

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

                                      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

What is a thesaurus?

A thesaurus is a specialized vocabulary (“repository of knowledge”) of a particular domain, such as medicine, energy or ICT. It contains selected words, terms and concepts with their semantic relations in a hierarchical structure and can also contain synonyms

What is a thesaurus?

AircraftAircraft

AirplaneAirplane

Means of transport

Means of transport

TrainTrain

AutomobileAutomobile

CarCar

TruckTruck

LorryLorry

Motor VehicleMotor Vehicle PlanePlane

Simplified Thesaurus example

Collexis®, the concept

Word-basedSearching

What? Why?How? Who?

indexing

indexing

Conceptmatching

The magic of Fingerprinting

content fingerprints

JobsCV’s, Skills

Articlesbooks

EmailsWord RFP’s

people fingerprints

average

organization fingerprints

average

Concept Fingerprints

Free text Fingerprints

Query text or

document

Multi concept & free text

++ ΣΣ MATCHMATCH

Result list

Collexis characteristics

• Accurate and sensitiveCollexis Fingerprints are highly sensitive and accurate, and can be manipulated to optimize search results

– Precision: only relevant documents shown– Recall: all relevant documents shown, even when narrowing the search

• Performance

even in millions of documents, search results should be provided instantly

• Human approach

not only documents, but also experts and organizations can be the result of a search

Collexis characteristics

• Open architectureEasy integration by the use of an API

• OmnivoreCollexis processes structured and unstructured information; this is possible in one action

• AdaptableCollexis respects existing databases and does not require large hardware investments

• Fast in any language & language independentCollexis works across languages.

Some Collexis markets and applications

• Publishing (portals)• Scientific organizations (Referee finder)• Biotechnology (Genes and protein identification)• Pharmaceutical & Chemical (Research and development)• Library (Research)• Healthcare (Intranet)• Legislation & Jurisdiction (Legal Intelligence)• Universities (Research and Portals)• International Authorities (Information Mining)

Collexis Application Examples

Search and Retrieval

Indexing

Search results

Experts retrieved

Refine a search

Use the thesaurus

Use the thesaurus

Information sharing

Add2Collexis

Add2Collexis

• Find information and experts;• Search assistance through so called “proposed concepts”• Available for domains Life Sciences, ICT, food and agriculture

(other knowledge domains on request);• Supported formats: MS-Word, RTF, .txt, HTML and .pdf;• Fully web enabled;• Application based on Microsoft® .Net technology.

Add2Collexis

Search using thesaurus intelligence

e-Vamp

• Automatically enriches existing web pages with hyperlinks;

• Use thesaurus for concept recognition ;• Allows the user to apply a Collexis match for related

documents, experts or external database information;• Outlinking to other search engines;• Configured for different domains

Original document

e-Vamped document

Search using e-Vamp

ClipFinder

• small client application

• easy to use • complete texts as

query input• makes use of

clipboard• fast

Meta-Analysis

Knowledge maps

Networks for Meta-Analysis

Demonstrations (optional)

Thank you!

 Choice of word and measured phrase above the reachof ordinary men.

William Wordsworth

Choice of word and measured phrase above the reachChoice of word and measured phrase above the reachof ordinary men.of ordinary men.

(William Wordsworth)