File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)

Article: Text animation or knowledge engineering?: Two approaches to expert system design in urban planning

TitleText animation or knowledge engineering?: Two approaches to expert system design in urban planning
Authors
Issue Date1991
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/ceus
Citation
Computers, Environment And Urban Systems, 1991, v. 15 n. 3, p. 151-164 How to Cite?
AbstractApplications of expert system technology in the urban planning domain range in complexity from the relatively simple task of representing existing manually held knowledge bases within a single shell, to complex exercises in knowledge elicitation and modelling within a multi-system environment. We suggest that the complexity of expert system construction relates to the nature of the knowledge to be contained within the system. In particular, it depends on the degree to which knowledge is preprocessed and on the mix of knowledge types. After reviewing the concepts of knowledge, the knowledge base and knowledge capture with respect to urban planning subject matter, two contrasting systems are examined which illustrate this range of approaches. The first can be thought of as a text animation system since its expertise lies essentially in the ability to navigate a complex document in a way that the professional planner might. The second represents the more protracted exercise of capturing and modelling human expertise and involves the merging of GIS and expert system technologies. © 1991.
Persistent Identifierhttp://hdl.handle.net/10722/183422
ISSN
2015 Impact Factor: 2.092
2015 SCImago Journal Rankings: 1.192

 

DC FieldValueLanguage
dc.contributor.authorWebster, CJen_US
dc.contributor.authorHo, CSen_US
dc.contributor.authorWislocki, Ten_US
dc.date.accessioned2013-05-27T08:38:03Z-
dc.date.available2013-05-27T08:38:03Z-
dc.date.issued1991en_US
dc.identifier.citationComputers, Environment And Urban Systems, 1991, v. 15 n. 3, p. 151-164en_US
dc.identifier.issn0198-9715en_US
dc.identifier.urihttp://hdl.handle.net/10722/183422-
dc.description.abstractApplications of expert system technology in the urban planning domain range in complexity from the relatively simple task of representing existing manually held knowledge bases within a single shell, to complex exercises in knowledge elicitation and modelling within a multi-system environment. We suggest that the complexity of expert system construction relates to the nature of the knowledge to be contained within the system. In particular, it depends on the degree to which knowledge is preprocessed and on the mix of knowledge types. After reviewing the concepts of knowledge, the knowledge base and knowledge capture with respect to urban planning subject matter, two contrasting systems are examined which illustrate this range of approaches. The first can be thought of as a text animation system since its expertise lies essentially in the ability to navigate a complex document in a way that the professional planner might. The second represents the more protracted exercise of capturing and modelling human expertise and involves the merging of GIS and expert system technologies. © 1991.en_US
dc.languageengen_US
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/ceusen_US
dc.relation.ispartofComputers, Environment and Urban Systemsen_US
dc.titleText animation or knowledge engineering?: Two approaches to expert system design in urban planningen_US
dc.typeArticleen_US
dc.identifier.emailWebster, CJ: cwebster@hku.hken_US
dc.identifier.authorityWebster, CJ=rp01747en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0026383676en_US
dc.identifier.volume15en_US
dc.identifier.issue3en_US
dc.identifier.spage151en_US
dc.identifier.epage164en_US
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridWebster, CJ=7201838784en_US
dc.identifier.scopusauthoridHo, CS=36634410500en_US
dc.identifier.scopusauthoridWislocki, T=6503945840en_US

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats