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Knowledge Management Systems

Knowledge Management Systems . Knowledge Discovery in Databases Information Retrieval Formal methods to discover information & possibly knowledge. Data collection Documents Usage Data analysis Relationships IR measures. KDD Process. Goal: extracting actionable knowledge from data

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Knowledge Management Systems

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  1. Knowledge Management Systems • Knowledge Discovery in Databases • Information Retrieval • Formal methods to discover information & possibly knowledge. • Data collection • Documents • Usage • Data analysis • Relationships • IR measures

  2. KDD Process • Goal: extracting actionable knowledge from data • Understandable patterns • Rules • Updated methods to extend beyond statistical analysis • Volumes of data collection • Increased computation power • Real-time • Continuous data • Advances in visualization

  3. KDD in Use • Data Mining is only one step • Preprocessing • Data Transformation • Pattern Detection • Interpretation • Use • Most development work is in the preprocessing • Most intellectual work should be in forming hypotheses

  4. KDD Practices • Classification • Regression • Clustering • Summarization • Dependency Modeling • Link analysis • Sequence analysis

  5. IR & the Semantic Web • Rich description of documents enables additional functionality • Darpa Agent Markup Language • Ontology Interface Layer • Is this “semantic markup” derived from tacit or explicit knowledge? • How can it be generated? • How can it be used? • Information Retrieval • Question answering (simple & complex) • Faith in XML

  6. Semantic IR • How systems should work • Events ontology • Coordination among individuals • Groups? • Interdependencies? • Processing for Hybrid IR? • Trust in ML • Trust in System

  7. Navigating Social Cyberspaces • Understanding Usenet use • Postings • Why • How • Information • Distribution • Cross postings • Specific groups & cultures • Free-riders vs. Contributors • Usenet readers

  8. Social Cyberspace Dimensions • Netscan – social accounting metrics • Size of group • Culture • Social cues • Messaging protocols • Asynchronous • Real time (IM) • Discussion Engagement • Frequency, Replies • Date, Time • Thread and Author Tracker • Thread Visualization • New Threads vs. Replying to Old

  9. Blogs & Social Dimensions • Are blogs taking the place of newsgroups? • RSS Readers • Topic discovery methods • Blog rolls • Search engines • Links • Issues of Awareness • Posting technologies s. Usenet

  10. Answer Garden • A shared organizational memory system • Storing, retrieving and viewing information • What methods worked best? • What about user paricipation? • What’s an optimal size?

  11. PeopleGarden • Another view of participation • How does the community work? • Welcoming • Volumes of dicsussion • Groups found and formed • Paired relationships • Arguments and issue development • Visualizing interaction • Personal history • Groups and Threads

  12. Problems in Data Warehousing • How about problems in understanding users? • Technical issues are easier than social issues • Privacy • Accuracy

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