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KDA - A KNOWLEDGE-BASED DATABASE ASSISTANT WITH A QUERY GUIDING FACILITY

delete1992-01-01
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PRE
AI
X
Xu Wu *
T
T. Ichikawa
DOI：10.1109/69.166987delete
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Abstract

Abstract

En 中文
Advanced natural language query systems provide database retrieval facilities as an effective means for encouraging novice users to approach computer database systems. However, in these systems, facilities for guiding novice users in performing the database retrieval tasks, such as formulating valid database queries, refining incomplete database queries, and modifying database query misconstruction, have not yet been provided. In this paper, we provide a knowledge-based database assistant (KDA) which integrates a natural language query system with a skeleton-based query guiding facility. When a user works with the KDA natural language query system, the query guiding facility can supply several kinds of skeletons to guide users in performing database retrieval tasks. A semantic network model S-Net has been introduced to represent the knowledge for natural language query processing and skeleton generation. The methods for implementing the system are also discussed in this paper.
Keywords:
DATABASE QUERY SYSTEM
INTELLIGENT DATABASE FRONT END
KNOWLEDGE-BASED SYSTEM
NATURAL LANGUAGE QUERY SYSTEM
SEMANTIC NETWORK MODEL
USER INTERFACE
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Journal

IEEE Transactions on Knowledge and Data Engineering cover
IEEE Transactions on Knowledge and Data Engineering
IF:
10.4
Papers:
6.8K
Citations:
3.2W

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