A Framework of Proposed Intelligent Tool for Constructing Concept Map

Because of the importance and significant effects of the concept map as a learning strategy, there should be tools facilitating its construction. This construction is one of the most time consuming activities since learning process had started. Although some tools were developed over the last few years to help learners save time, yet they did not meet the expectations, for they were complicated and time consuming. In this paper, we propose a new intelligent tool for automating the construction of concept map depending on the learners' understanding. The produced concept map, afterwards, could be enhanced by the learners through adding; removing or merging concepts in order to adapt his/her background knowledge. This tool will assist in diagnosis and remediation learning strategy based on concept map.

[1]  David Leake,et al.  Intelligent support for knowledge capture and construction , 2004 .

[2]  Li Yusheng,et al.  Design and Realization for Ontology Learning Model Based on Web , 2009, 2009 International Conference on Information Technology and Computer Science.

[3]  Hinrich Schütze,et al.  Introduction to information retrieval , 2008 .

[4]  Dmitry Zelenko,et al.  Kernel methods for relation extraction , 2003 .

[5]  Ana Gabriela Maguitman,et al.  Combining Concept Mapping with CBR: Towards Experience-Based Support for Knowledge Modeling , 2001, FLAIRS.

[6]  David Leake,et al.  Automatic Classification of Concept Maps Based on a Topological Taxonomy and Its Application to Studying Features of Human-Built Maps , 2008 .

[7]  Ah-Hwee Tan,et al.  Knowledge discovery from texts: a concept frame graph approach , 2002, CIKM '02.

[8]  Fabio Ciravegna,et al.  Relation Extraction for Mining the Semantic Web , 2005 .

[9]  Dan Roth,et al.  Probabilistic Reasoning for Entity & Relation Recognition , 2002, COLING.

[10]  Alberto J. Cañas,et al.  A TEORIA SUBJACENTE AOS MAPAS CONCEITUAIS E COMO ELABORÁ-LOS E USÁ-LOS * THE THEORY UNDERLYING CONCEPT MAPS AND HOW TO CONSTRUCT AND USE THEM , 2010 .

[11]  Rafael A. Calvo,et al.  Concept Extraction from Student Essays, Towards Concept Map Mining , 2009, 2009 Ninth IEEE International Conference on Advanced Learning Technologies.

[12]  Kuo-En Chang,et al.  The Effect of Concept Mapping to Enhance Text Comprehension and Summarization , 2002 .

[13]  Ting Wang,et al.  Automatic Extraction of Hierarchical Relations from Text , 2006, ESWC.

[14]  Alberto J. Cañas,et al.  Mining the Web to Suggest Concepts during Concept Map Construction , 2004 .

[15]  Sherman R. Alpert.  Abstraction in Concept Map and Coupled Outline Knowledge Representations , 2003 .

[16]  Jun Suzuki,et al.  Hierarchical Directed Acyclic Graph Kernel: Methods for Structured Natural Language Data , 2003, ACL.

[17]  James H. Martin,et al.  Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition , 2000 .

[18]  Rafael A. Calvo,et al.  Concept Map Mining: A Definition and a Framework for Its Evaluation , 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[19]  Isabelle Bichindaritz,et al.  Concept Mining for Indexing Medical Literature , 2005, MLDM.

[20]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[21]  Marco Carvalho,et al.  Googling for a concept map: towards automatic concept-map-based query information , 2004 .

[22]  J. Emig.  Writing as a Mode of Learning. , 1977 .

[23]  Branimir Boguraev,et al.  Automatic Glossary Extraction: Beyond Terminology Identification , 2002, COLING.

[24]  R. Clariana,et al.  A computer-based approach for translating text into concept map-like representations , 2004 .