Web agents for spatial mining on air pollution meteorology

Author

Ng, Vincent ; Chan, Stephen C F ; An, Sanghyuk

Author_Institution

Dept. of Comput., Hong Kong Polytech., Hung Hom, China

fYear

2001

fDate

2001

Firstpage

293

Lastpage

298

Abstract

This paper describes an agent framework to support spatial data mining of air pollution data. A Web-based solution, APMF (Air Pollution Mining Framework), is developed to investigate the effect of meteorological and air pollutant elements on air pollution. It makes use of three types of agents: collect agents, coordinate agents and query/mining agents. Query/mining agents interact with the user, receive user queries and mining requests, and deliver the results. Coordinate agents help to prepare the data resources for the querying tasks. Collect agents provide access to a heterogeneous collection of Web sources. In order to standardize data exchanges and query/mining process descriptions, an XML-based language, DQML, is developed. A prototype of the APMF is implemented with a Java servlet and JavaLite

Keywords

Internet; air pollution; data mining; medical administrative data processing; meteorology; software agents; APMF; Air Pollution Mining Framework; DQML; Java servlet; JavaLite; M; Web agents; Web sources; XML-based language; agent framework; air pollution data; air pollution meteorology; collect agents; coordinate agents; data exchanges; query/mining agents; spatial data mining; spatial mining; Air pollution; Data mining; Gold; Hospitals; Java; Meteorology; Natural languages; Prototypes; Public healthcare; Weather forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Supported Cooperative Work in Design, The Sixth International Conference on, 2001

Conference_Location

London, Ont.

Print_ISBN

0-660-18493-1

Type

conf

DOI

10.1109/CSCWD.2001.942274

Filename

942274