Contextualizing Large-Scale Domain Knowledge for Conceptual Modeling and Simulation

09/06/2022
by   Sungeun An, et al.
0

We present an interactive modeling tool, VERA, that scaffolds the acquisition of domain knowledge involved in conceptual modeling and agent-based simulations. We describe the knowledge engineering process of contextualizing large-scale domain knowledge. Specifically, we use the ontology of biotic interactions in Global Biotic Interactions, and the trait data of species in Encyclopedia of Life to facilitate the model construction. Learners can use VERA to construct qualitative conceptual models of ecological phenomena, run them as quantitative simulations, and review their predictions.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/06/2022

Cognitive Assistance for Inquiry-Based Modeling

Inquiry-based modeling is essential to scientific practice. However, mod...
research
02/20/2023

The notion of role in conceptual modelling

In this article we analyse the notion of knowledge role. First of all, w...
research
07/17/2023

Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain

Engineering knowledge-based (or expert) systems require extensive manual...
research
11/04/2022

The Path to Autonomous Learners

In this paper, we present a new theoretical approach for enabling domain...
research
06/06/2022

Understanding Self-Directed Learning in an Online Laboratory

We described a study on the use of an online laboratory for self-directe...
research
08/05/2019

Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge

Investment planning requires knowledge of the financial landscape on a l...
research
04/26/2002

Qualitative Analysis of Correspondence for Experimental Algorithmics

Correspondence identifies relationships among objects via similarities a...

Please sign up or login with your details

Forgot password? Click here to reset