2015
DOI: 10.4018/978-1-4666-6567-5.ch016
|View full text |Cite
|
Sign up to set email alerts
|

Grammar of Dynamic Knowledge for Collaborative Knowledge Engineering and Representation

Abstract: Constructive discussion must lead to a shared understanding. This understanding is commonly expressed as text; however, for the purposes of collaborative research, the tools of knowledge engineering/knowledge representation look more appropriate. The problem with them is that, to the present day, they are developed largely for the tasks that imply fixed relations between things and their properties, termed here as static. However, collaborative research often deals with fields of knowledge that represent chang… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2015
2015
2018
2018

Publication Types

Select...
4
1

Relationship

1
4

Authors

Journals

citations
Cited by 9 publications
(1 citation statement)
references
References 13 publications
0
1
0
Order By: Relevance
“…Finally, the event bush has given rise to development of a unified grammar of dynamic knowledge (Pshenichny and Mouromtsev 2015), which would bring to implementation in COLLA numerous methods used to model dynamic environments -such as Petri nets (Rogalchuk and Solomin 2015), sequence diagrams, activity diagrams, influence diagrams and many others, already tested in descriptive domains of knowledge including geosciences (Pshenichny 2014). The road to their computer-based application for the purposes of collaborative studies has been paved by the event bush method.…”
Section: Discussion: Theoretical and Implementation Issuesmentioning
confidence: 99%
“…Finally, the event bush has given rise to development of a unified grammar of dynamic knowledge (Pshenichny and Mouromtsev 2015), which would bring to implementation in COLLA numerous methods used to model dynamic environments -such as Petri nets (Rogalchuk and Solomin 2015), sequence diagrams, activity diagrams, influence diagrams and many others, already tested in descriptive domains of knowledge including geosciences (Pshenichny 2014). The road to their computer-based application for the purposes of collaborative studies has been paved by the event bush method.…”
Section: Discussion: Theoretical and Implementation Issuesmentioning
confidence: 99%