A philosophical basis for knowledge acquisition

Compton, Paul; Jansen, R.J.G.

doi:10.1016/s1042-8143(05)80017-2

Cited by 290 publications

(115 citation statements)

References 12 publications

Supporting

Mentioning

114

Contrasting

Unclassified

Order By: Relevance

“…It also proved simple to add rules, rules with exceptions and ripple-down rules (Compton and Jansen, 1990) to KRS in a principled fashion (Gaines, 1991c), provide an interactive graphical editor for knowledge structures represented as semantic networks (Gaines, 1991b), modularize KRS to accept new data types such as numbers and dates through plugins providing well-defined services (Gaines, 1993), solve the Sisyphus room allocation problem (Gaines, 1994b), extend our semantic network tools to support advances in description logics (Gaines, 2009), and express the logical foundations in terms of cognitive psychology (Gaines and Shaw, 2012a).…”

Section: Porting Knowledge In Books and Journals To The Webmentioning

confidence: 99%

Knowledge acquisition: Past, present and future

Gaines

2013

International Journal of Human-Computer Studies

View full text Add to dashboard Cite

As we celebrate the fiftieth knowledge acquisition conference this year it is appropriate to review progress in knowledge acquisition techniques not only over the quarter century since the conference series began but backwards through the millennia to the beginnings of knowledge capture and forwards through the foreseeable future to speculate on reasonable expectations, appropriate targets and potential surprises in the next quarter century.

show abstract

Section: Porting Knowledge In Books and Journals To The Webmentioning

confidence: 99%

Knowledge acquisition: Past, present and future

Gaines

2013

International Journal of Human-Computer Studies

View full text Add to dashboard Cite

show abstract

“…This style of development is not only natural, but allows incremental refinement. Indeed, the knowledge elicitation mechanism known as Ripple Down Rules (Compton & Jansen, 1990) extracts knowledge from human experts by refining a previous model by identifying the rule that needs to be expanded by detailing it more. The models presented here are each a progressive refinement of the previous one.…”

Section: Mammal(x)mentioning

confidence: 99%

Non-Monotonic Reasoning on Board a Sony AIBO

Billington¹,

Estivill‐Castro²,

Hexel³

et al. 2007

Robotic Soccer

View full text Add to dashboard Cite

“…Three strategies for consistency-checking are notable: (1) allowing the existence of "inconsistency" by relaxing the criteria of consistencychecking; (2) reducing the effort of consistency-checking by enforcing modified model that can control the ripple effect [15,16]; (3) resolving inconsistency by allowing humans intervene, in workshops [7].…”

Section: Constructing An Ontology Hierarchymentioning

confidence: 99%

Beyond Ontology Construction; Ontology Services as Online Knowledge Sharing Communities

Yang

Thompson

Zhu

et al. 2003

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. There are a number of different ontology server implementations available, Their functionality focuses on editing, browsing and storing ontologies. In some cases the ontology server also provides an inference engine that allows statements about the relationships between entities in different ontologies to be tested or retrieved. These functions are certainly required for a practical deployment of an ontology service in an organization but when an ontology service is to be deployed in an open environment, such as the Semantic Web, a number of other considerations become apparent. This paper describes ACOS (Agent Cities Ontology Service), during the development of ACOS we have explored some aspects of creating a collaborative, communityoriented ontology server, in an open environment.

show abstract

A philosophical basis for knowledge acquisition

Cited by 290 publications

References 12 publications

Knowledge acquisition: Past, present and future

Knowledge acquisition: Past, present and future

Non-Monotonic Reasoning on Board a Sony AIBO

Beyond Ontology Construction; Ontology Services as Online Knowledge Sharing Communities

Contact Info

Product

Resources

About