|
No. |
項目 |
百分比 |
說明 |
|
1. |
Class participation |
10% |
Attendance to all class sessions is mandatory. Your grade will be judged based on you attendance and
participation in the class discussion. If you don’t get the chance to participate in the class, submit your comments or questions by emails or ceiba |
2. |
Mid-term |
20% |
The exam is based on the lecture notes and readings. |
3. |
Wikipedia entry project |
10% |
Each student will create a Wikipedia entry at LIS_WIKI for a concept or theory covered in the class.
To complete the assignment,
First post your topic on the class discussion forum to claim your topic, then write a 2 - 4 pages explanatory texts that explain the defination, origin, and history of the concept. All the information you include in the entry has to be attributable to reliable sources. You MUST make rerference to as least one authoritative source such as "The Encyclopedia of Information Science and Technology," or "Encyclopedia of Library and Information Science". Also make sure you make proper citations to your source, see How to cite sources.
|
4. |
Digital library construction |
30% |
Each group will build a functional online digital library collaboratively using Joomla or Greenstone digital library (GSDL) open source software.
DL_project_exampl1 DL_project_example2
The project consists of three components: the implantation of a digital collection on the topic of your own choosing, a written report (5-6 pages) and an oral presentation of the project at the end of the semester.
The digital collection should include:
a. A minimum of 60 documents representative of different document formats such as pdf, word, and html.
b. An index structure that enables browsing of the collection
c. The provision of fielded search
The written report should:
d. Explain the aim, purpose, intended users and their information needs of the collection.
It is better that you come up with an institutional context (real or imaginary) for the use of the collection.
e. Define your selection and indexing policies (human and machine indexing components; metadata structure) based on the aim and purpose stated above.
f. Include a graphic presentation of the browsable index structure and the rationales behind your design (i.e. explain why you choose certain browsable facets and searchable fields to represent your collection) |
5. |
Search engine or query performance comparison |
20% |
Each group will conduct an IR evaluation comparing three major web-based search engines (e.g. Google, Yahoo and Bing) based on three real search requests from user with real information needs.
a. To obtain the search topics, interview three users (preferably graduate students or faculty
members), each on one research topic they are interested in. Collect from each user:
a search statement and associated query terms that you both agree best represent her information
need.
b. For each search topic, submit the queries on the user’s behalf to the three search engines you
are testing. Collect the first 25 links from each of the three returned sets.
c. Find out the degree of overlap among the three returned sets.
d. Mix the non-duplicative (25X2, maximum) links together and strip the graphic cues.
This is done so that the user will not be able to tell which search engine each link is from.
e. For each link, marks its original and rank position.
f. Present the URLs in Microsoft Word files that allow the users to examine the actual webpage by clicking on its hyperlink. Ask them to judge the relevance (topical as well as situational) of the pages based on a 0-4 scale (0 stands for not relevant at all; 4, very relevant).
g. Create an EXCEL or SPSS data file to input the relevance scores.
h. Compare the performance of the search engines based on
1) first 20 "full" precision, 2) search length "2" (i.e. the number of links the user has to go through to find two relevant documents, and 3) Discounted cumulated gain.
i. Prepare a powerpoint slide on your findings and present them in the class.
|
6. |
Search feature/command demo |
10% |
create and present a video demo that explains a search tactics or function available at PubMed database.
See example |