The MetaDance component of the project focuses on developing a solution to documenting dance by developing a dance annotation tool that implements a dance ontology to extract the terminology from it. By doing so, a dance vocabulary is extracted and is used for annotating dance media files within the tool. These annotations can be further used for quick retrieval of dance media file.
At present, technology has the capabilities of documenting various forms of information that people deem as important and useful to have at hand, whether it be for accessing or manipulating. One of these sources of information is dance. Dance is a form of contemporary art and is interpretative at its core. Thus, documenting this source of information in a digital platform seems to be challenging when faced with attempting to store it for access in a wealth of unstructured information. Many attempts have been made in trying to preserve dance using a number of methods.
Develop a mobile dance application that documents Latin dance based on user annotations and allow users to search dance content.
The purpose of the ontology is to provide the mobile annotation tool with a dance vocabulary
Dance ontology to be designed for two Latin dances only, in order to demonstrate the resuability of the knowledge acquisition process and extensibility of the dance ontology.
As mentioned above, the purpose of the ontology is to provide a dance vocabulary for the annotation process within the mobile tool. In order to develop the ontology we need to acquire the necessary dance terminology for both Salsa and Cha-Cha-Cha.
The following steps were followed within the ontology development process:
The dance terminology extracted from online resources were then used to develop the lightweight dance ontology.
The above diagram illustrates the general structure that was developed of the dance ontology. Each Latin dance type will have corresponding difficulty levels. In turn, each difficult level will have dance moves categorized under them, while each dance move is made up of actions.
Download OntologyThe results to test how well constructed the process of extracting terms were divided into two, i.e. Salsa and Cha-Cha-Cha results. Below are the graphs illustrating the number of new dance terms being extracted at each iteration.
Salsa included eight iterations of
term extraction. As can be seen from the graph on the left, there is a
downward logarithmic trend in the number of new terms collected
at each iteration of term extraction (orange line). A logarithmic trendline was chosen as it best demonstrates the rate of change of
data, and whether it increases, decreases or levels out.
The R-squared value of the Salsa
term collection is 0,9075, which is classified as a large positive
association. This means that there tends to be a large increase in
the number of terms collected at each point.
Cha-Cha-Cha included four iterations of term extraction. As can be seen from the graph on the right, there is a downward logarithmic trend in the number of new terms collected at each iteration (orange line).
the R-squared value of the Cha-Cha-Cha term collection is
0,6494, which is classified as a small positive association. This
indicates that there is a slower increase in the number of new
terms collected.
In order for the ontology to be used within the system, an
Ontology class was created to extract the relevant information
from the OWL file. This class will be able to extract dance terms
and actions and organize them based on the dance type to which it
needs to be categorized under, as well as the difficulty levels.
The annotation tool implements the dance ontology developed by extracting the terminology for use within the annotation process.
Tool ensures that the tool is simple, and thus easy to use and navigate to complete desires tasks.
Tool operates on Android operating systems, with a minimum API level 14.
Tool provides users with feedback important tasks have been completed to ensure users that tasks have been completed.
Review of the academic literature relevant to dance annotation tools and their implementations.
Read MoreAssess the feasibility of the project and outlines the plans of the project.
Read MoreFinal Paper containing more details about the project and sections mentioned above, specifically for MetaDance.
Read MorePoster illustrating the overview of components developed within this project.
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