Web agents for spatial mining on air pollution meteorology

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

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 proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	Proceedings of the International Conference on Computer Supported Cooperative Work in Design
Pages	293-298
Number of pages	6
Publication status	Published - 1 Dec 2002
Event	Proceedings of the Sixth Conference on Computer Supported Cooperative Work in Design - London, Ont., Canada Duration: 12 Jul 2001 → 14 Jul 2001

Conference

Conference	Proceedings of the Sixth Conference on Computer Supported Cooperative Work in Design
Country/Territory	Canada
City	London, Ont.
Period	12/07/01 → 14/07/01

ASJC Scopus subject areas

General Computer Science

Cite this

@inproceedings{4cc44bd433204c0ab02b2f19bddc0ab3,

title = "Web agents for spatial mining on air pollution meteorology",

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.",

author = "Ng, \{Vincent To Yee\} and Chan, \{Stephen C.F.\} and Sandra Au",

year = "2002",

month = dec,

day = "1",

language = "English",

isbn = "0660184931",

pages = "293--298",

booktitle = "Proceedings of the International Conference on Computer Supported Cooperative Work in Design",

note = "Proceedings of the Sixth Conference on Computer Supported Cooperative Work in Design ; Conference date: 12-07-2001 Through 14-07-2001",

}

Web agents for spatial mining on air pollution meteorology. / Ng, Vincent To Yee; Chan, Stephen C.F.; Au, Sandra.
Proceedings of the International Conference on Computer Supported Cooperative Work in Design. 2002. p. 293-298.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Web agents for spatial mining on air pollution meteorology

AU - Ng, Vincent To Yee

AU - Chan, Stephen C.F.

AU - Au, Sandra

PY - 2002/12/1

Y1 - 2002/12/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0036993170

M3 - Conference article published in proceeding or book

SN - 0660184931

SP - 293

EP - 298

BT - Proceedings of the International Conference on Computer Supported Cooperative Work in Design

T2 - Proceedings of the Sixth Conference on Computer Supported Cooperative Work in Design

Y2 - 12 July 2001 through 14 July 2001

ER -

Web agents for spatial mining on air pollution meteorology

Abstract

Conference

ASJC Scopus subject areas

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