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Presentation structure
• Definitions of knowledge management
• Forms of knowledge
• Knowledge infrastructure
• Collexis background
• Collexis application examples
• Demonstrations (optional)
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 ?
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
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
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)
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.
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
ClipFinder
• small client application
• easy to use • complete texts as
query input• makes use of
clipboard• fast