Web agents for spatial mining on air pollution meteorology

Vincent To Yee Ng, Stephen C.F. Chan, Sandra Au

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

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 request, 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 Java servlet and JavaLite.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Computer Supported Cooperative Work in Design
Pages293-298
Number of pages6
Publication statusPublished - 1 Dec 2002
EventProceedings of the Sixth Conference on Computer Supported Cooperative Work in Design - London, Ont., Canada
Duration: 12 Jul 200114 Jul 2001

Conference

ConferenceProceedings of the Sixth Conference on Computer Supported Cooperative Work in Design
Country/TerritoryCanada
CityLondon, Ont.
Period12/07/0114/07/01

ASJC Scopus subject areas

  • Computer Science(all)

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