Dragon ToolKit

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The Dragon Toolkit 1.3.3 (2008/01/16)

No image.png

Developed by: Zhou, X., Zhang, X., and Hu, X., Drexel University
License: Free&Open source
Web page : [dragon.ischool.drexel.edu/ Tool homepage]
Tool type : Framework/Library"Framework/Library" is not in the list (Application software, Web application, Framework/Library/API, Plugin/extension pack, Script/procedure/function, Multi purpose) of allowed values for the "Data tool type" property.

Tool.png

The last edition of this page was on: 2014/03/19

The Completion level of this page is : Low


SHORT DESCRIPTION

[[has description::The Dragon Toolkit is a Java-based development package for academic use in information retrieval (IR) and text mining (TM, including text classification, text clustering, text summarization, and topic modeling). It is tailored for researchers who work on large-scale IR and TM and prefer Java programming. Moreover, different from Lucene and Lemur, it provides built-in supports for semantic-based IR and TM. The dragon toolkit seamlessly integrates a set of NLP tools, which enable the toolkit to index text collections with various representation schemes including words, phrases, ontology-based concepts and relationships. ([dragon.ischool.drexel.edu/], retrieved March 2014)]]


TOOL CHARACTERISTICS

Usability

Authors of this page consider that this tool is '.

Tool orientation

This tool is designed for general purpose analysis.

Data mining type

This tool is made for Text mining.

Manipulation type

This tool is designed for Data analysis.

IMPORT FORMAT :

EXPORT FORMAT :


Tool objective(s) in the field of Learning Sciences

Analysis & Visualisation of data
Predicting student performance
Student modelling
Social Network Analysis (SNA)
Constructing courseware

Providing feedback for supporting instructors:
Recommendations for students
Grouping students:
Developing concept maps:
Planning/scheduling/monitoring
Experimentation/observation

Tool can perform:

  • Data extraction of type:
  • Transformation of type:
  • Data analysis of type: Data mining methods and algorithms
  • Data visualisation of type: (These visualisations can be interactive and updated in "real time")



ABOUT USERS

Tool is suitable for:

Students/Learners/Consumers
Teachers/Tutors/Managers
Researchers
Developers/Designers
Organisations/Institutions/Firms
Others

Required skills:

STATISTICS: Advanced

PROGRAMMING: Medium

SYSTEM ADMINISTRATION: Basic

DATA MINING MODELS: Advanced



FREE TEXT


Tool version : The Dragon Toolkit 1.3.3 2008/01/16
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Developed by : Zhou, X., Zhang, X., and Hu, X., Drexel University
(blank line)
Tool Web page : dragon.ischool.drexel.edu/
(blank line)
Tool type : Framework/Library"Framework/Library" is not in the list (Application software, Web application, Framework/Library/API, Plugin/extension pack, Script/procedure/function, Multi purpose) of allowed values for the "Data tool type" property.
(blank line)
Free&Open source

No image.png

SHORT DESCRIPTION


The Dragon Toolkit is a Java-based development package for academic use in information retrieval (IR) and text mining (TM, including text classification, text clustering, text summarization, and topic modeling). It is tailored for researchers who work on large-scale IR and TM and prefer Java programming. Moreover, different from Lucene and Lemur, it provides built-in supports for semantic-based IR and TM. The dragon toolkit seamlessly integrates a set of NLP tools, which enable the toolkit to index text collections with various representation schemes including words, phrases, ontology-based concepts and relationships. ([dragon.ischool.drexel.edu/], retrieved March 2014)

TOOL CHARACTERISTICS


Tool orientation Data mining type Usability
This tool is designed for general purpose analysis. This tool is designed for Text mining. Authors of this page consider that this tool is .
Data import format Data export format
. .
Tool objective(s) in the field of Learning Sciences

☑ Analysis & Visualisation of data
☑ Predicting student performance
☑ Student modelling
☑ Social Network Analysis (SNA)
☑ Constructing courseware

☑ Providing feedback for supporting instructors:
☑ Recommendations for students
☑ Grouping students:
☑ Developing concept maps:
☑ Planning/scheduling/monitoring
Experimentation/observation

Can perform data extraction of type:

Can perform data transformation of type:


Can perform data analysis of type:
Data mining methods and algorithms


Can perform data visualisation of type:
(These visualisations can be interactive and updated in "real time")


ABOUT USER


Tool is suitable for:
Students/Learners/Consumers:☑ Teachers/Tutors/Managers:☑ Researchers:☑ Organisations/Institutions/Firms:☑ Others:☑
Required skills:
Statistics: ADVANCED Programming: MEDIUM System administration: BASIC Data mining models: ADVANCED

OTHER TOOL INFORMATION


No screenshot.jpg
The Dragon Toolkit
Free&Open source
Zhou, X., Zhang, X., and Hu, X., Drexel University
2008/01/16
1.3.3
dragon.ischool.drexel.edu/
[[has description::The Dragon Toolkit is a Java-based development package for academic use in information retrieval (IR) and text mining (TM, including text classification, text clustering, text summarization, and topic modeling). It is tailored for researchers who work on large-scale IR and TM and prefer Java programming. Moreover, different from Lucene and Lemur, it provides built-in supports for semantic-based IR and TM. The dragon toolkit seamlessly integrates a set of NLP tools, which enable the toolkit to index text collections with various representation schemes including words, phrases, ontology-based concepts and relationships. ([dragon.ischool.drexel.edu/], retrieved March 2014)]]
General analysis
Researchers
Advanced
Medium
Basic
Advanced
Framework/Library"Framework/Library" is not in the list (Application software, Web application, Framework/Library/API, Plugin/extension pack, Script/procedure/function, Multi purpose) of allowed values for the "Data tool type" property.
Text mining
Data analysis
Data mining methods and algorithms
Low

Zhou, X., Zhang, X., and Hu, X., "Dragon Toolkit: Incorporating Auto-learned Semantic Knowledge into Large-Scale Text Retrieval and Mining," In proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), October 29-31, 2007, Patras, Greece, http://dragon.ischool.drexel.edu/dragontoolkit.pdf