'Re-using an existing wheel' developing data architecture for cooperating autonomous and semi-autonomous, agent-based web services

Lachlan M. MacKinnon, Liz Bacon

Research output: Contribution to journalArticle

Abstract

This short position paper considers issues in developing Data Architecture for the Internet of Things (IoT) through the medium of an exemplar project, Domain Expertise Capture in Authoring and Development ?Environments (DECADE). A brief discussion sets the background for IoT, and the development of the ?distinction between things and computers. The paper makes a strong argument to avoid reinvention of the wheel, and to reuse approaches to distributed heterogeneous data architectures and the lessons learned from that work, and apply them to this situation. DECADE requires an autonomous recording system, ?local data storage, semi-autonomous verification model, sign-off mechanism, qualitative and ?quantitative ?analysis ?carried out when and where required through web-service architecture, based on ontology and analytic agents, with a self-maintaining ontology model. To develop this, we describe a web-service ?architecture, ?combining a distributed data warehouse, web services for analysis agents, ontology agents and a ?verification engine, with a centrally verified outcome database maintained by certifying body for qualification/?professional status.
Original languageEnglish
Pages (from-to)330-334
Number of pages5
JournalIETE Technical Review
Volume26
Issue number5
DOIs
StatePublished - 2009
Externally publishedYes

Fingerprint

Web services
Ontology
Wheels
Internet of things
Autonomous agents
Data warehouses
Engines

Cite this

MacKinnon, Lachlan M.; Bacon, Liz / 'Re-using an existing wheel' developing data architecture for cooperating autonomous and semi-autonomous, agent-based web services.

In: IETE Technical Review, Vol. 26, No. 5, 2009, p. 330-334.

Research output: Contribution to journalArticle

@article{6974f9ad2fea4bb9b856e855628f2a82,
title = "'Re-using an existing wheel' developing data architecture for cooperating autonomous and semi-autonomous, agent-based web services",
abstract = "This short position paper considers issues in developing Data Architecture for the Internet of Things (IoT) through the medium of an exemplar project, Domain Expertise Capture in Authoring and Development ?Environments (DECADE). A brief discussion sets the background for IoT, and the development of the ?distinction between things and computers. The paper makes a strong argument to avoid reinvention of the wheel, and to reuse approaches to distributed heterogeneous data architectures and the lessons learned from that work, and apply them to this situation. DECADE requires an autonomous recording system, ?local data storage, semi-autonomous verification model, sign-off mechanism, qualitative and ?quantitative ?analysis ?carried out when and where required through web-service architecture, based on ontology and analytic agents, with a self-maintaining ontology model. To develop this, we describe a web-service ?architecture, ?combining a distributed data warehouse, web services for analysis agents, ontology agents and a ?verification engine, with a centrally verified outcome database maintained by certifying body for qualification/?professional status.",
author = "MacKinnon, {Lachlan M.} and Liz Bacon",
year = "2009",
doi = "10.4103/0256-4602.55277",
volume = "26",
pages = "330--334",
journal = "IETE Technical Review",
issn = "0256-4602",
number = "5",

}

'Re-using an existing wheel' developing data architecture for cooperating autonomous and semi-autonomous, agent-based web services. / MacKinnon, Lachlan M.; Bacon, Liz.

In: IETE Technical Review, Vol. 26, No. 5, 2009, p. 330-334.

Research output: Contribution to journalArticle

TY - JOUR

T1 - 'Re-using an existing wheel' developing data architecture for cooperating autonomous and semi-autonomous, agent-based web services

AU - MacKinnon,Lachlan M.

AU - Bacon,Liz

PY - 2009

Y1 - 2009

N2 - This short position paper considers issues in developing Data Architecture for the Internet of Things (IoT) through the medium of an exemplar project, Domain Expertise Capture in Authoring and Development ?Environments (DECADE). A brief discussion sets the background for IoT, and the development of the ?distinction between things and computers. The paper makes a strong argument to avoid reinvention of the wheel, and to reuse approaches to distributed heterogeneous data architectures and the lessons learned from that work, and apply them to this situation. DECADE requires an autonomous recording system, ?local data storage, semi-autonomous verification model, sign-off mechanism, qualitative and ?quantitative ?analysis ?carried out when and where required through web-service architecture, based on ontology and analytic agents, with a self-maintaining ontology model. To develop this, we describe a web-service ?architecture, ?combining a distributed data warehouse, web services for analysis agents, ontology agents and a ?verification engine, with a centrally verified outcome database maintained by certifying body for qualification/?professional status.

AB - This short position paper considers issues in developing Data Architecture for the Internet of Things (IoT) through the medium of an exemplar project, Domain Expertise Capture in Authoring and Development ?Environments (DECADE). A brief discussion sets the background for IoT, and the development of the ?distinction between things and computers. The paper makes a strong argument to avoid reinvention of the wheel, and to reuse approaches to distributed heterogeneous data architectures and the lessons learned from that work, and apply them to this situation. DECADE requires an autonomous recording system, ?local data storage, semi-autonomous verification model, sign-off mechanism, qualitative and ?quantitative ?analysis ?carried out when and where required through web-service architecture, based on ontology and analytic agents, with a self-maintaining ontology model. To develop this, we describe a web-service ?architecture, ?combining a distributed data warehouse, web services for analysis agents, ontology agents and a ?verification engine, with a centrally verified outcome database maintained by certifying body for qualification/?professional status.

U2 - 10.4103/0256-4602.55277

DO - 10.4103/0256-4602.55277

M3 - Article

VL - 26

SP - 330

EP - 334

JO - IETE Technical Review

T2 - IETE Technical Review

JF - IETE Technical Review

SN - 0256-4602

IS - 5

ER -