SLIS Home - 202 Online Resource - Supplemental Reading
Supplemental Reading for LIBR 202
Below is a listing of supplemental readings developed for
Libr 202. Many of the readings are available online via the links below. Others are readily available in
research libraries.
Index
Background Reading and
Reference Information Seeking, Problem Solving,
and cognition Data Structures User Interfaces and Information
Visualization Relevance, Satisfaction and
Performance
Background reading and reference
Bates, Marcia (1999). The invisible substrate of information science . Journal of the American Society for Information Science , 50, 1043-1050.Kuhlthau, Carol C. Seeking Meaning:
A Process Approach to Library and Information Services .
Norwood, NJ: Ablex Pub. Co., 1993, 199 p.Rothenberg, Jeff, (1995, January).
Ensuring
the Longevity of Digital Documents .
1999 rev. of original from Scientific American ,
272(1), 42-47.Rowley, Jennifer E. (1987).
Organizing
Knowledge: An Introduction to Information Retrieval .
Aldershot, England: Gower, 454 p.Schneiderman, B. (1992).
Designing the User
Interface: Strategies for Effective Human-Computer
Interaction . Second ed. Reading, MA: Addison-Wesley, 573 p.
(back to index)
Information Seeking, Problem Solving, and Cognition
Agosto, Denise E. and Hughes-Hassell, Sandra (2005).
People, places, and questions: An investigation of the everyday life information-seeking behaviors of urban young adults . Library & Information Science Research , 27, 141-163.
Dervin, Brenda and Patricia Dewdney (1986, Summer).
Neutral Questioning: A
new approach to the reference interview . RQ , 506-513.Farrow, John F. (1991, June).
A Cognitive Process Model of
Document Indexing . Journal of Documentation , 47(2), 149-166.Huston, Mary M., (1991, June-August).
Windows into the Search Process:
an Inquiry into Dimensions of Online Information
Retrieval . Online Review , 227-243.Ingwersen, Peter (1996, September).
Cognitive Perspectives of
Information Retrieval Interaction: Elements of a Cognitive IR
Theory . Journal of Documentation 52(1), 3-50.Jansen, Bernard J., Spink, Amanda, and Koshman, Sherry (2007). Web searcher interaction with the Dogpile.com metasearch engine . Journal of the American Society for Information Science and Technology , 589, 744-755.
Kuhlthau, Carol C. and Tama, S. L. (2001). Information search processof lawyers: A call for 'just for me' information services . Journal of Documentation , 57, 25-43.Najarian, Suzanne E. (1981).
Organizational Factors in
Human Memory: Implications for Library Organization and
Access Systems . The Library Quarterly, v 51, no.
3, 269-291Simon, Herbert A. (1981, September).
Information- Processing Models of
Cognition . Journal of the American Society for
Information Science , no. 5, 364-377.Ury, Connie Jo; Johnson, Carolyn V.; Meldrem, Joyce
A. (1997, Winter).
"Teaching a Heuristic
Approach to Information Retrieval," Research
Strategies , v 15, no. 1, 39-47.
(back to index)
Data Structures
Bates, Marcia J. (1998, November).
Indexing and Access for Digital
Libraries and the Internet: Human, Database, and Domain
Factor . Journal of the American Society for
Information Science , 49(13), 1185-1205.Bates, Marcia J. (1986, November).
Subject Access in Online
Catalogs: A Design Model . Journal of the American
Society for Information Science , 37(6), 357- 375.Bates, Marcia J. (1989).
The design of browsing and
berrypicking techniques for the online search interface .
Online Review , 13(5), 407-424.Borgman, Christine L. (1986, January).
The User's Mental Model of an
Information Retrieval System: An Experiment on a Prototype
Online Catalog . International Journal of Man- Machine
Studies , v. 24, 47-64.Carley, Kathleen and Michael Palmquist
(1992, March). Extracting,
Representing, and Analyzing Mental Models . Social
Forces , 70, no. 3, 601-636.Elings, Mary W. and Waibel, Gunter (2007). Metadata for all: Descriptive standards and metadata sharing across libraries, archives, and museums. FirstMonday , 12. Retrieved August 1, 2007, from www.firstmonday.org/issues/issue12_3/elings/index.html Golder, Scott A. and Huberman, Bernardo A. (2005).
The structure of collaborative tagging systems . arXiv.org .
Retrieved August 6, 2007, from arxiv.org/ftp/cs/papers/0508/0508082.pdf Haas, Stephanie W.and Travers, Debbie A. (2004).
Issues in the development of a thesaurus for patients' chief complaints in the emergency department. 67th Proceedings of the ASIS&T annual meeting , 41, 411-417Harter, Stephen P. and Cheng, Yung-Rang, (1996, April).
Colinked Descriptors: Improving
Vocabulary Selection for End-User Searching . Journal
of the American Society of Information Science, 47, no. 4, 311-325.Kwasnik, Barbara H. "The Role of
Classification Structures in Reflecting and Theory
Building," Proceedings of the 3rd ASIS SIG/CR
Classification Research Workshop . Pittsburgh, PA. October
25, 1992, 63-81.Part A and
Part B .Latta, Gail F. and Keith Swigger (1992, March).
Validation of the
Repertory Grid for Use in Modeling Knowledge." Journal
of the American Society for Information Science, 43(2), 115-129.
(back to index)
User Interfaces & Information
Visualization
Belkin, N. J., Marchetti, P. G., and Cool, C.
(1993).
Braque: Design of an
Interface to Support User Interaction in Information
Retrieval . Information Processing and Management ,
29(3), 325- 344.Buckland, Michael K. and Doris Florian (1991, October).
Expertise, Task
Complexity, and Artificial Intelligence: A Conceptual
Framework . Journal of the American Society for
Information Science , 42(9), 635-643.Dalrymple, Prudence W. (1990, June). Retrieval by Reformulation
in Two Library Catalogs: Toward a Cognitive Model of
Searching Behavior . Journal of the American Society
for Information Science , 41(4), 272-281.Hearst, Marti A. (1997, March).
Interfaces for Searching the
Web . Scientific American , 276(3), 68-72.Johnson-Eilola, Johndan (2001). Little machines: Understanding users understanding interfaces . ACM Journal of Computer Documentation 25, 119-127.
Lynch, Clifford, (1997, March).
Searching the Internet .
Scientific American , 276(3), 52-56.Marchionini, Gary (1992, March).
Interfaces for End-User
Information Seeking . Journal of the American Society
for Information Science , 43(2), 156-163.Marchionini, Gary, Dwiggins, Sandra, Katz, Andrew
and Lin, Xia (1993).
Information Seeking in Full-Text
End-User-Oriented Search Systems: The Roles of Domain and
Search Expertise . Library and Information Science
Research , 15, 35-69.Mat-Hassan, Mazlita and Levene, Mark (2001). Can navigational assistance improve search experience? A user study. FirstMonday 6. Retrieved August 1, 2007, from www.firstmonday.org/issues/issue6_9/mat/index.html Turner, James (1990, December).
Representing and accessing
information in the stockshot database at the National Film
Board of Canada . The Canadian Journal of Information
Science - La Revue canadienne des sciences de l'information
et de bibliothéconomie , 15(4), 1-22.
(back to index)
Relevance, Satisfaction, and Performance
Applegate, Rachel (1993, Summer).
Models of User
Satisfaction: Understanding False Positives . RQ , 525-539.Bodoff, David (2006). Relevance for browsing, relevance for searching . Journal of the American Society for Information Science and Technology 57, 69-86Cooper, W. S. and Maron, M. E. (1978, January). Foundations
of Probabilistic and Utility-Theoretic Indexing. Journal
of the Association for Computing Machinery , 25(1), 67-80.Harter, Stephen P. (1992, October).
Psychological Relevance and
Information Science . Journal of the American Society for
Information Science , 43(9), 602-615.Hildreth, Charles R. (2001). Accounting for users' inflated assessments of on-line catalogue search performance and usefulness: An experimental study. Information Research 6. Available at InformationR.net/ir/6-2/paper101.html Maron, M. E. (1988).
Probabilistic Design Principles
for Conventional and Full-text Retrieval Systems ,
Information Processing and Management , 24, no. 3, 249-255Maron, M. E., David C. Blair (1985, March).
An Evaluation of Retrieval Effectiveness for a Full-Text Document-Retrieval System ,
Communications of the ACM , 28(3), 289-299.Regazzi, John J. "Performance Measures
for Information Systems: An Experimental Approach,"
Journal of the America Society for In formation
Science , 39, no. 4 (July 1988), 235-251.Part A and
Part B .Robertson, S. E., Maron, M. E., and Cooper, W. S.
(1982). Probability of Relevance: A
Unification of Two Competing Models for Document
Retrieval . Information Technology: Research and
Development , 1-21Spink, Amanda (1995).
Term Relevance Feedback and
Mediated Database Searching: Implications for Information
Retrieval Practice and Systems Design . Information
Processing and Management , 31, no. 2, 161-171.Smith, Elizabeth S. (1993, June).
On the Shoulder of Giants : From
Boole to Shannon to Taube: The Origins and Development of
Computerized Information from the Mid-19th Century to the
Present . Information Technology and Libraries ,
12, no. 2, 217-226.Sutton, Stuart A. (1994, April).
The Role of Attorney Mental Models
of Law in Case Relevance Determinations: An exploratory
Analysis . Journal of the American Society of
Information Science , 45(3), 186-200
.Swanson, Don R. (1988, March).
Historical Note: Information
Retrieval and the Future of an Illusion . Journal of
the American Society for Information Science , 39(2), 92 -98.Swanson, Don R (1977).
Information Retrieval as a
Trial-and-Error Process . Library Quarterly , 47(2), 128-148.Voorhees, Ellen M. (2005). TREC: Improving information access through evaluation . Bulletin of the American society for Information Science and Technology , 32, 16-21.Wang, Peiling and Dagobert Soergel (1993).
Beyond Topical Relevance:
Document Selection Behavior of Real Users of IR Systems ,
ASIS '93: Proceedings of the 56th ASIS Annual Meeting:
Integrating Technologies; Converging Professions , v. 30,
Oct. 2 4-28, 1993, Columbus, OH. Medford, NJ: Learned
Information, 87-92.
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1999 rev. of original from Scientific American,
272(1), 42-47.
