logging in or signing up Collexis Dennison Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 189 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: December 04, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Slide1: Presentation by Yuri de LugtPresentation structure: Presentation structure Definitions of knowledge management Forms of knowledge Knowledge infrastructure Collexis background Collexis application examples Demonstrations (optional) Definitions Knowledge Management: Definitions Knowledge ManagementCollexis definitions on KM: 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 businessCollexis definitions on KM: 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 : Forms of Knowledge To perform ‘Knowledge Management’ one needs to know what forms of Knowledge are there. ‘Forms’ of Knowledge: ‘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: Knowledge transformation Tacit Tacit Explicit Explicit From To Social Internal External Combine Copy by seeing Imitate Master-student Report Visualize Modelling Merge Recombine & systemize Learn by doingCollexis definitions on KM: 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: The Knowledge infrastructure To find out where Collexis can be of use, we must explore the Knowledge infrastructureKnowledge infrastructure: Knowledge infrastructure Structure & processes IT Management Culture Knowledge flow Develop Share Use EvaluateSlide12: 3 Instrument Groups Collexis & Knowledge management: 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 ? Slide14: Collexis Functions Content Resources Business Cases Tools Collexis ApproachSlide15: Collexis Functions Business Cases Tools Collexis ApproachSlide16: Business Cases Tools Collexis ApproachSlide17: Collexis ApproachSlide18: Collexis Approach level 1: level 2: level 3: levels of information managementSlide19: Collexis ApproachSlide20: What are we going to show?Collexis: Collexis Why it was created and how it worksOne Million Hit Syndrome: 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 : 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: 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: 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 What is a thesaurus?: 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? Simplified Thesaurus exampleCollexis®, the concept: Collexis®, the concept What? Why? How? Who? The magic of Fingerprinting: The magic of FingerprintingMulti concept & free text: Concept Fingerprints Free text Fingerprints Query text or document Multi concept & free text + Σ MATCH Result listCollexis characteristics: 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 searchCollexis characteristics: 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: 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: Collexis Application ExamplesSearch and Retrieval: Search and RetrievalIndexing: IndexingSearch results: Search resultsExperts retrieved: Experts retrievedRefine a search: Refine a searchUse the thesaurus: Use the thesaurusUse the thesaurus: Use the thesaurusInformation sharing: Information sharing Add2CollexisAdd2Collexis: 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: Add2CollexisSearch using thesaurus intelligence: Search using thesaurus intelligencee-Vamp: 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 domainsOriginal document : Original document e-Vamped document: e-Vamped documentSearch using e-Vamp: Search using e-VampClipFinder: ClipFinder small client application easy to use complete texts as query input makes use of clipboard fastMeta-Analysis: Meta-AnalysisKnowledge maps: Knowledge mapsNetworks for Meta-Analysis: Networks for Meta-AnalysisDemonstrations (optional): Demonstrations (optional)Thank you!: Thank you!Slide59: Choice of word and measured phrase above the reach of ordinary men. William Wordsworth Choice of word and measured phrase above the reach of ordinary men. (William Wordsworth) You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
Collexis Dennison Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 189 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: December 04, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Slide1: Presentation by Yuri de LugtPresentation structure: Presentation structure Definitions of knowledge management Forms of knowledge Knowledge infrastructure Collexis background Collexis application examples Demonstrations (optional) Definitions Knowledge Management: Definitions Knowledge ManagementCollexis definitions on KM: 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 businessCollexis definitions on KM: 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 : Forms of Knowledge To perform ‘Knowledge Management’ one needs to know what forms of Knowledge are there. ‘Forms’ of Knowledge: ‘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: Knowledge transformation Tacit Tacit Explicit Explicit From To Social Internal External Combine Copy by seeing Imitate Master-student Report Visualize Modelling Merge Recombine & systemize Learn by doingCollexis definitions on KM: 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: The Knowledge infrastructure To find out where Collexis can be of use, we must explore the Knowledge infrastructureKnowledge infrastructure: Knowledge infrastructure Structure & processes IT Management Culture Knowledge flow Develop Share Use EvaluateSlide12: 3 Instrument Groups Collexis & Knowledge management: 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 ? Slide14: Collexis Functions Content Resources Business Cases Tools Collexis ApproachSlide15: Collexis Functions Business Cases Tools Collexis ApproachSlide16: Business Cases Tools Collexis ApproachSlide17: Collexis ApproachSlide18: Collexis Approach level 1: level 2: level 3: levels of information managementSlide19: Collexis ApproachSlide20: What are we going to show?Collexis: Collexis Why it was created and how it worksOne Million Hit Syndrome: 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 : 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: 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: 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 What is a thesaurus?: 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? Simplified Thesaurus exampleCollexis®, the concept: Collexis®, the concept What? Why? How? Who? The magic of Fingerprinting: The magic of FingerprintingMulti concept & free text: Concept Fingerprints Free text Fingerprints Query text or document Multi concept & free text + Σ MATCH Result listCollexis characteristics: 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 searchCollexis characteristics: 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: 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: Collexis Application ExamplesSearch and Retrieval: Search and RetrievalIndexing: IndexingSearch results: Search resultsExperts retrieved: Experts retrievedRefine a search: Refine a searchUse the thesaurus: Use the thesaurusUse the thesaurus: Use the thesaurusInformation sharing: Information sharing Add2CollexisAdd2Collexis: 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: Add2CollexisSearch using thesaurus intelligence: Search using thesaurus intelligencee-Vamp: 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 domainsOriginal document : Original document e-Vamped document: e-Vamped documentSearch using e-Vamp: Search using e-VampClipFinder: ClipFinder small client application easy to use complete texts as query input makes use of clipboard fastMeta-Analysis: Meta-AnalysisKnowledge maps: Knowledge mapsNetworks for Meta-Analysis: Networks for Meta-AnalysisDemonstrations (optional): Demonstrations (optional)Thank you!: Thank you!Slide59: Choice of word and measured phrase above the reach of ordinary men. William Wordsworth Choice of word and measured phrase above the reach of ordinary men. (William Wordsworth)