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
Fayyad, U., G. Piatetsky-Shapiro, et al. (1996). The KDD Process for Extracting Useful Knowledge from Volumes of Data. Communications of the ACM 39(11):

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
Shah, U., Finin, T., Joshi,A.  Cost, R. & Mayfield, J.(2002)  Information Retrieval on the Semantic Web, 10th International Conference on Information and Knowledge Management. ACM Press.

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
Smith, Marc. Tools for Navigating Large Social Cyberspaces Ackerman, M. S. AND Malone, T. W Answer Garden: A tool for growing organizational memory. SIGOIS Bull. 11, 2&3 (Apr.),

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?
Ackerman, M. S. AND Malone, T. W Answer Garden: A tool for growing organizational memory. SIGOIS Bull. 11, 2&3 (Apr.),

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
Xiong, Rebecca & Donath, Judith. (1999) PeopleGarden: Creating Data Portraits for Users. Proceedings of UIST. Asheville, NC. (PAAM '96).

12. Problems in Data Warehousing
How about problems in understanding users?
Technical issues are easier than social issues
Privacy
Accuracy
Widon, J. (1995). Research Problems in Data Warehousing. Proceedings of the 4th International Conference on Information and Knowledge Management. Nov, ACM Press.