Noetica: a tool for semantic data modelling

1998 ◽  
Vol 34 (6) ◽  
pp. 739-760 ◽  
Author(s):  
Stewart Greenhill ◽  
Svetha Venkatesh
Keyword(s):  
Data Modelling ◽  
Semantic Data

Semantic data modelling and visualisation using Noetica

2000 ◽  
Vol 33 (3) ◽  
pp. 241-276 ◽  
Author(s):  
Stewart Greenhill ◽  
Svetha Venkatesh
Keyword(s):  
Data Modelling ◽  
Semantic Data

scholarly journals Animal, Body, Data: Starling Murmurations and the Dynamic of Becoming In-formation

2021 ◽  
pp. 1357034X2199284
Author(s):  
Mickey Vallee
Keyword(s):  
Data Modelling ◽  
Animal Body ◽  
Topological Relationships ◽  
Animal Populations ◽  
Animal Data ◽  
Natural Scientists ◽  
The Relationship ◽  
Affective Relations

The aim of this article is to demonstrate that data modelling is becoming a crucial, if not dominant, vector for our understanding of animal populations and is consequential for how we study the affective relations between individual bodies and the communities to which they belong. It takes up the relationship between animal, body and data, following the datafication of starling murmurations, to explore the topological relationships between nature, culture and science. The case study thus embodies a data journey, invoking the tactics claimed by social or natural scientists, who generated recent discoveries in starling murmurations, including their topological expansions and contractions. The article concludes with thoughts and suggestions for further research on animal/data entanglement, and threads the concept of databodiment throughout, as a necessary dynamic for the formation and maintenance of communities.

Object-Oriented Application on Data Modelling and Knowledge Representation: A System Integration Approach

1989 ◽  
Vol 4 (4) ◽  
pp. 205-215
Author(s):  
Daniel T. Lee
Keyword(s):  
Knowledge Representation ◽  
System Integration ◽  
Object Oriented ◽  
Integrated Systems ◽  
Data Modelling ◽  
Integration Approach ◽  
Two Systems ◽  
Modelling Techniques ◽  
Modern Knowledge

Traditional data modelling techniques of DSS and modern knowledge representation methodologies of ES are inconsistent. A new unifying model is needed for integrating the two systems into a unified whole. After a brief review of data modelling techniques and knowledge representation methodologies, the unifying model will be described and integrated systems will be used to exemplify the usefulness of the unifying model.

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