학술논문

Parsing "grammatically incomplete" natural language queries to spatial databases
Document Type
Conference
Author
Source
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569) Fuzzy systems and fuzzy information processing IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th. 4:2400-2404 vol.4 2001
Subject
Signal Processing and Analysis
Computing and Processing
Natural languages
Spatial databases
User interfaces
Database languages
Possibility theory
Management information systems
Information management
Fuzzy set theory
Information science
Geographic Information Systems
Language
Abstract
Of the applications of information system technology, geographic information management and processing can be categorized into the group that has both the most diversified users and the largest number of imprecise concepts. Formal query languages have limitations when applied to these fields. A natural language user interface may be more expressive in dealing with geographic information and can improve accessibility of geographic information systems (GISs). A challenge in creating a natural language user interface is that user queries in a natural language may be grammatically incomplete. That is, some grammatical constituents may be missing. The article reports on a technique for parsing such queries. This technique is based on the fuzzy set possibility theory, which is used to handle the uncertainty caused by missing constituents and ambiguity.