Efficient Storage Methods for a Literary Data Warehouse

FACULTY OF COMPUTER SCIENCE
NOTICE OF ORAL DEFENCE

MCS Degree

Efficient Storage Methods for a Literary Data Warehouse
By
Steven W. Keith
Examining Committee:
Supervisors: Dr. Owen Kaser (UNBSJ), 
Dr. Daniel Lemire (Adjunct Prof., Univ.of Quebec)
Chairperson: Dr. Larry Garey (UNBSJ)
Internal Reader: Dr. Weichang Du
External Reader: Dr. George Stoica (UNBSJ)
 
Monday, May 29, 2006
10:30 a.m.
VIDEO CONFERENCE
UNBSJ LOCATION: MacMurray Room-Oland Hall- Rm 203
UNBF LOCATION:  Multimedia Center(1st floor, room 126)Marshall D'Avray Hall

ABSTRACT

Computer-assisted reading and analysis of text has applications in the
humanities and social sciences. Ever-larger electronic text archives have
the advantage of allowing a more complete analysis but the disadvantage
of forcing longer waits for results. This thesis addresses the issue of
efficiently storing data in a literary data warehouse. The method in which
the data is stored directly influences the ability to extract useful, 
analytical results from the data warehouse in a timely fashion. 
A variety of storage methods including mapped files, trees, hashing,
and databases are evaluated to determine the most efficient method
of storing cubes in the data warehouse. Each storage method's ability
to insert and retrieve data points as well as slice, dice, and roll-up a
cube is evaluated. The amount of disk space required to store
the cubes is also considered. Five test cubes of various sizes are used to 
determine which method being evaluated is most efficient. The results lead
to various storage methods being efficient, depending on properties of the 
cube and the requirements of the user.



ALL GRADUATE STUDENTS ARE ENCOURAGED TO ATTEND


*********************
Linda Sales
Graduate Studies Program
Administrative Assistant
Faculty of Computer Science
University of New Brunswick
540 Windsor Street
Fredericton, NB
E3B 5A3

Phone: 506-458-7285
Fax: 506-453-3566

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