Brain Halfs according to Tony Buzan's claims (There are doubts about it)  MindMapping is powerful pictorial technique for representing knowledge, concepts and ideas so it became a well-known technique used in note taking and is known to encourage learning and studying. With today's vast and rapid increase in the use of electronic document readers, smart phone, tablets, there is an eminent need to develop tools for visualizing and summarizing textual contents. MindMapping is not only a note-taking tool, but also a very powerful tool for text summarization and visualization. Converting a text paragraph to a MindMap would provide an easier way to visually access the knowledge and ideas in the text. However, many people do not use MindMaps because making MindMaps needs huge extra mental efforts and full concentration for a very long time specially if someone wants to make MindMaps for a long script or a book. Besides, only few people are creative enough to draw good MindMaps. Unfortunately, there is no reliable automated system that can generate MindMaps from Natural Language text. This work fills in this gap by developing the first evaluated automated system that takes a text input and generates a MindMap visualization out of it. The system also could visualize large text documents in multilevel MindMaps in which a high level MindMap node could be expanded into child MindMaps. The proposed approach involves understanding of the input text converting it into intermediate Detailed Meaning Representation (DMR). The DMR is then visualized with two proposed approaches; Single level or Multiple levels which is convenient for larger text. The generated MindMaps from both approaches were evaluated based on Human Subject experiments performed on Amazon Mechanical Turk with various parameter settings.
System Architecture  Single Level Mind Map from Pure Text  MultiLevel MindMap from Pure Text  The dataset created for the evaluation could be downloaded through here. If you used these dataset please cite this paper. Publications + Mohamed Elhoseiny, Ahmed Elgammal, Radwa Elsahn, “MultilevelMindMap Generation”, US PatentPending, 2013 + (Oral Presentation) Mohamed Elhoseiny,Ahmed Elgammal, "English2MindMap: Automated system for Mind Map generationfrom Text”, International Symposium on Multimedia (ISM), 2012
+ Asmaa Hamdy, Mohamed H.Elhoseiny, Radwa Elsahn, Eslam Kamal, "Mind Map Automation (MMA)System". SWWS, Las Vegas, Nevada, USA, 2009 Citation : Please cite the "English2MindMap: Automated system for Mind Map generation from Text", and/or" Mind Map Automation (MMA) System", 2009 Code Code could be find here Presentation in 3rd NYC Multimedia and Computer Vision Meeting, June 2013: http://gnymv.org/#pd + Poster  + Flier Downloads 1) Supplementary Materials (Many inputs and outputs in a pdf): It was created by Protege stanfford Ontology Editor. It could be downloaded at http://protege.stanford.edu/ 3) The dataset created for the evaluation could be downloaded through here. 2) Example MTurk Input Excel https://www.researchgate.net/publication/235638321_English2MindMap_MTurk_Input?ev=prf_pub 4)Ontology 5) System Outputs The outputs are compressed in two-part compressed file Videss Mind Map Automation (MMA) System (2009), It was just a demo version (prototype) that did not support hierarchy Video (An old Version), please open the first item in download to show see many single and hierarchical examples This video is created thanks to previous Demo by Mai Samy , Mona Othman. |