Paper Info
Title
Connecting and Synchronizing Scientific Artifacts through the Process of Conceptual Change
Abstract
In this age of digital science, our scientific knowledge is fragmented into data, methods, schemas, ontology, code and workflows -- each of them largely disconnected from the others and manipulated within their own specialized tools. These tools have disaggregated our scientific knowledge and analytic processes. As a result, it is becoming much harder to decipher scholarly outcomes, much information is lost within the broken connections among various artifacts and processes, and the deeper knowledge required to model and communicate the conceptual underpinning of research is often not captured. This work proposes a model that attempts to provide a coordinated view of evolving scientific knowledge. The model connects various scientific artifacts -- categories, database schema and ontologies -- through the 'process of conceptual change', allowing both connections and artifacts to evolve in sync with each other. This not only makes explicit some of the missing knowledge, but also supports instantaneously live and connected science, keeping knowledge artifacts consistent with each other.
Year
DOI
Venue
2014
10.1109/eScience.2014.20
e-Science), 2014 IEEE 10th International Conference  
Keywords
DocType
Volume
data analysis,ontologies (artificial intelligence),scientific information systems,synchronisation,analytic processes,database schema,digital science,knowledge artifacts,ontologies,process of conceptual change,scientific artifact synchronization,scientific artifacts,scientific knowledge,conceptual connections,process of conceptual change,scientific knowledge integration,scientific notebooks
Conference
2
ISSN
Citations 
PageRank 
2325-372X
1
0.35
References 
Authors
0
3
Name
Order
Citations
PageRank
Prashant Gupta120.70
Mark Gahegan257155.38
Gill Dobbie372877.75