"Information Organization & Retrieval"

INFO 202, Fall 2008 (MW 9:00-10:30 in 202 South Hall)
Professor Robert Glushko (glushko@ischool.berkeley.edu)
Teaching Assistants: Jonathan Breitbart, Shawna Hein, Nick Rabinowitz

This course introduces the intellectual foundations of information organization and retrieval: conceptual modeling, semantic representation, vocabulary and metadata design, classification, and standardization, as well as information organization and retrieval practices, technology, and applications, including computational processes for analyzing information in both textual and non-textual formats. Students will learn how information organization and retrieval is carried out by professionals, authors, and users; by individuals in association with other individuals, and as part of the business processes in an enterprise and across enterprises.

This is a required introductory course for incoming School of Information masters students, integrating perspectives and best practices from a wide range of disciplines. Students are also required to attend a one-hour small section meeting each Monday starting the second week of the semester (11-12, 12-1, 4-5 - all in Room 107 South Hall)

Required Texts:

Other Course Resources:


1. INTRODUCTION (8/27)

Readings

Lecture Notes

Assignment 1


2. ISSUES AND CONTEXTS (9/3)

Readings

Lecture Notes


3. ORGANIZATION {AND,OR,VS} RETRIEVAL (9/8)

Readings

Lecture Notes


4. XML (9/10)

Readings

Lecture Notes

15 Sept Section Notes

Assignment 2


5. CONCEPTS & CATEGORIES (9/15)

Readings

Lecture Notes


6. METADATA & METADATA STANDARDS (9/17)

Readings

Lecture Notes


7. CONTROLLED NAMES AND VOCABULARIES (9/22)

Readings

Lecture Notes

Assignment 3



8. CLASSIFICATION (9/24)

Readings

Lecture Notes


9. ONTOLOGY (9/29)

Readings

Lecture Notes

Assignment 4


10. DOCUMENTS AND DATA MODELS... AND MODELING (10/1)

Readings

Lecture Notes


11. INFORMATION INTEGRATION & INTEROPERABILITY (10/6)

Readings

Lecture Notes


12. ENTERPRISE / INSTITUTIONAL CATEGORIZATION & STANDARDS (10/8)

Readings

Lecture Notes

Assignment 5


13. THE SEMANTIC WEB (10/13)

Readings

Lecture Notes


14. SOCIAL / DISTRIBUTED CATEGORIZATION (10/15)

Readings

Lecture Notes


15. PERSONAL INFORMATION MANAGEMENT (10/20)

Readings

Lecture Notes

Assignment 6


16. CONTENT MANAGEMENT (10/22)

Readings

Lecture Notes


17. MIDTERM EXAM (10/27)


18. METADATA FOR MULTIMEDIA (10/29)

Readings

Lecture Notes


19. INFORMATION ORGANIZATION IN / FOR USER INTERFACES (11/3)

Readings

Lecture Notes


20. MODEL-BASED APPLICATIONS AND UIs (11/5)

Readings

Lecture Notes

Assignment 7 (OPTIONAL EXTRA CREDIT)


21. SEARCH MODELS AND UIs FOR IR (11/10)

Readings

Lecture Notes


22. TEXT PROCESSING; BOOLEAN MODELS (11/12)

Readings

Lecture Notes


23. VECTOR MODELS (11/17)

Readings

Lecture Notes

Assignment 8


24. DIMENSIONALITY REDUCTION (11/19)

Readings

Lecture Notes


25. STRUCTURE-BASED MODELS [1] (11/24)

Readings

Lecture Notes


26. STRUCTURE-BASED MODELS [2] (11/26)

Readings

Lecture Notes


27. MULTIMEDIA IR (12/1)

Readings

Lecture Notes


28. APPLIED IR & NLP (12/3)

Readings

Lecture Notes


29. ALUMNI DAY (12/8)

Zach Gillen

Benjamin Hill

Mano Marks

Patrick Schmitz


30. COURSE REVIEW (12/10)

Lecture Notes


FINAL EXAM (12/15)