A Friendly and Intelligent Approach to Data Retrieval in a Multimedia DBMS
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Authors
Keim, Daniel A.
Lum, Vincent Y.
Kim, Kyung-Chang
Subjects
Multimedia Databases
Information Retrieval
Natural Language Interfaces
Object-Oriented Databases
Graphical User Interface
Cooperative Database and Knowledge Systems
Information Retrieval
Natural Language Interfaces
Object-Oriented Databases
Graphical User Interface
Cooperative Database and Knowledge Systems
Advisors
Date of Issue
1991-03
Date
1991-03
Publisher
Monterey, California. Naval Postgraduate School
Language
eng
Abstract
Manipulation of multimedia data is not straightforward as in conventional database. One main problem is the retrieval of multimedia data from the database with the need to match the contents of multimedia data to a user query. In order to achieve a content based retrieval in our approach, we use natural language captions which allow the user to describe the contents of multimedia data. In a similar manner, users will specify their queries on multimedia data contents in natural language form. A problem is that different or even the same user describe the same thing differently at different times which results in the descriptions of the contents of multimedia data to rarely exactly match the descriptions of the user queries. Hence, partial or approximate match between descriptions of multimedia data and user queries is generally required during multimedia data retrieval. We propose an intelligent approach to approximate match by integrating both object-oriented and natural language understanding techniques. In order to make the query specification process easier we also develop a graphical user interface supporting incremental query specification and a natural way of expressing joins. The Multimedia Database Management System (MDBMS) described in this paper incorporates the capabilities as mentioned above
Type
Technical Report
Description
Series/Report No
Department
Computer Science
Identifiers
NPS Report Number
NPS-CS-91-010
Sponsors
Naval Ocean Systems Center, San Diego, CA
Funder
OM&N Direct Funding
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.