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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” • Competence Combination 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 To Tacit From Tacit Social External •Copy by seeing •Report •Imitate •Visualize •Master-student •Modelling Internal Explicit Explicit •Learn by doing Combine •Merge •Recombine & systemize 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 IT & processes Knowledge flow •Develop •Share •Use •Evaluate Culture Management 3 Instrument Groups © 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 Approach Collexis Functions Content Resources Business Cases Tools Collexis Approach Business Cases Tools XML Web Documents Databases content Collexis Functions Collexis Approach Concept Maps Aggregation Homonym detection Fingerprinting Structured data XML Web Documents Databases Business Cases Tools content Associative Concept Graphs Collexis Approach Gap analysis Competitor Analysis Semantic Networks Homonym detection Specialized Search Who is Who Structured data Dynamic Portals Vocabulary search, textual search Associative Concept Graphs Concept Maps Aggregation Fingerprinting applications information mining information matching / searching Web Documents Databases content XML Collexis Approach levels of information management level 1: Aggregation Fingerprinting Concept Maps Gap analysis Semantic Networks Competitor Analysis Homonym detection Specialized Search Structured data Dynamic Portals Who is Who applications level 2: Associative Concept Graphs Vocabulary search, textual search information matching / searching XML Web Documents Databases content level 3: information mining Collexis Approach levels of information management level 2: use of explicit links, thesaurus hierarchy, contextual information use of normalization, language independency, synonyms, matching, thesaurus / vocabulary level 1: Associative Concept Graphs Aggregation Fingerprinting Concept Maps Gap analysis Semantic Networks Competitor Analysis Homonym detection Specialized Search Structured data Dynamic Portals Who is Who applications use of cooccurrence, concept clustering, ontologies Vocabulary search, textual search information matching / searching XML Web Documents Databases content level 3: information mining 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 Means of transport Simplified Thesaurus example Aircraft Airplane Train Motor Vehicle Automobile Car Plane Truck Lorry Collexis®, the concept indexing Concept matching Word-based Searching What? Why? How? Who? indexing The magic of Fingerprinting Emails Word Jobs RFP’s CV’s, Skills average average Articles books content fingerprints organization fingerprints people fingerprints Multi concept & free text Concept Fingerprints Query text or document + Σ MATCH Free text Fingerprints Result list Collexis characteristics • Accurate and sensitive Collexis 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 architecture Easy integration by the use of an API • Omnivore Collexis processes structured and unstructured information; this is possible in one action • Adaptable Collexis respects existing databases and does not require large hardware investments • Fast in any language & language independent Collexis 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 ofChoice word measured phrase above the reach of and word and measured phrase above the reach ordinary men. of of ordinary men. William Wordsworth (William Wordsworth)