Knowledge management for more sustainable water systems

Steven Mounce, Christopher Brewster, Richard Ashley, Louise Hurley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The management and sharing of complex data, information and knowledge is a fundamental and growing concern in the Water and other Industries for a variety of reasons. For example, risks and uncertainties associated with climate, and other changes require knowledge to prepare for a range of future scenarios and potential extreme events. Formal ways in which knowledge can be established and managed can help deliver efficiencies on acquisition, structuring and filtering to provide only the essential aspects of the knowledge really needed. Ontologies are a key technology for this knowledge management. The construction of ontologies is a considerable overhead on any knowledge management programme. Hence current computer science research is investigating generating ontologies automatically from documents using text mining and natural language techniques.
As an example of this, results from application of the Text2Onto tool to stakeholder documents for a project on sustainable water cycle management in new developments are presented. It is concluded that by adopting ontological representations sooner, rather than later in an analytical process, decision makers will be able to make better use of highly knowledgeable systems containing automated services to ensure that sustainability considerations are included.
Original languageEnglish
Title of host publicationCOST Action 21 Future of Urban Ontologies
PublisherUniversite de Liege
Number of pages10
Publication statusPublished - 2009

Fingerprint

water
extreme event
stakeholder
sustainability
industry
climate
document
project
programme
science
services
decision process

Keywords

  • water cycle management
  • ontologies
  • text mining

Cite this

Mounce, S., Brewster, C., Ashley, R., & Hurley, L. (2009). Knowledge management for more sustainable water systems. In COST Action 21 Future of Urban Ontologies Universite de Liege.
Mounce, Steven ; Brewster, Christopher ; Ashley, Richard ; Hurley, Louise. / Knowledge management for more sustainable water systems. COST Action 21 Future of Urban Ontologies. Universite de Liege, 2009.
@inproceedings{ddbc012236eb42839ea17e6afc2941e6,
title = "Knowledge management for more sustainable water systems",
abstract = "The management and sharing of complex data, information and knowledge is a fundamental and growing concern in the Water and other Industries for a variety of reasons. For example, risks and uncertainties associated with climate, and other changes require knowledge to prepare for a range of future scenarios and potential extreme events. Formal ways in which knowledge can be established and managed can help deliver efficiencies on acquisition, structuring and filtering to provide only the essential aspects of the knowledge really needed. Ontologies are a key technology for this knowledge management. The construction of ontologies is a considerable overhead on any knowledge management programme. Hence current computer science research is investigating generating ontologies automatically from documents using text mining and natural language techniques. As an example of this, results from application of the Text2Onto tool to stakeholder documents for a project on sustainable water cycle management in new developments are presented. It is concluded that by adopting ontological representations sooner, rather than later in an analytical process, decision makers will be able to make better use of highly knowledgeable systems containing automated services to ensure that sustainability considerations are included.",
keywords = "water cycle management, ontologies, text mining",
author = "Steven Mounce and Christopher Brewster and Richard Ashley and Louise Hurley",
year = "2009",
language = "English",
booktitle = "COST Action 21 Future of Urban Ontologies",
publisher = "Universite de Liege",

}

Mounce, S, Brewster, C, Ashley, R & Hurley, L 2009, Knowledge management for more sustainable water systems. in COST Action 21 Future of Urban Ontologies. Universite de Liege.

Knowledge management for more sustainable water systems. / Mounce, Steven; Brewster, Christopher; Ashley, Richard; Hurley, Louise.

COST Action 21 Future of Urban Ontologies. Universite de Liege, 2009.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Knowledge management for more sustainable water systems

AU - Mounce, Steven

AU - Brewster, Christopher

AU - Ashley, Richard

AU - Hurley, Louise

PY - 2009

Y1 - 2009

N2 - The management and sharing of complex data, information and knowledge is a fundamental and growing concern in the Water and other Industries for a variety of reasons. For example, risks and uncertainties associated with climate, and other changes require knowledge to prepare for a range of future scenarios and potential extreme events. Formal ways in which knowledge can be established and managed can help deliver efficiencies on acquisition, structuring and filtering to provide only the essential aspects of the knowledge really needed. Ontologies are a key technology for this knowledge management. The construction of ontologies is a considerable overhead on any knowledge management programme. Hence current computer science research is investigating generating ontologies automatically from documents using text mining and natural language techniques. As an example of this, results from application of the Text2Onto tool to stakeholder documents for a project on sustainable water cycle management in new developments are presented. It is concluded that by adopting ontological representations sooner, rather than later in an analytical process, decision makers will be able to make better use of highly knowledgeable systems containing automated services to ensure that sustainability considerations are included.

AB - The management and sharing of complex data, information and knowledge is a fundamental and growing concern in the Water and other Industries for a variety of reasons. For example, risks and uncertainties associated with climate, and other changes require knowledge to prepare for a range of future scenarios and potential extreme events. Formal ways in which knowledge can be established and managed can help deliver efficiencies on acquisition, structuring and filtering to provide only the essential aspects of the knowledge really needed. Ontologies are a key technology for this knowledge management. The construction of ontologies is a considerable overhead on any knowledge management programme. Hence current computer science research is investigating generating ontologies automatically from documents using text mining and natural language techniques. As an example of this, results from application of the Text2Onto tool to stakeholder documents for a project on sustainable water cycle management in new developments are presented. It is concluded that by adopting ontological representations sooner, rather than later in an analytical process, decision makers will be able to make better use of highly knowledgeable systems containing automated services to ensure that sustainability considerations are included.

KW - water cycle management

KW - ontologies

KW - text mining

M3 - Conference contribution

BT - COST Action 21 Future of Urban Ontologies

PB - Universite de Liege

ER -

Mounce S, Brewster C, Ashley R, Hurley L. Knowledge management for more sustainable water systems. In COST Action 21 Future of Urban Ontologies. Universite de Liege. 2009