We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Ontology based Automatic Module Generation from E-book

by Keerthana.r, Jayashree.n.r
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 11
Year of Publication: 2015
Authors: Keerthana.r, Jayashree.n.r
10.5120/21271-4044

Keerthana.r, Jayashree.n.r . Ontology based Automatic Module Generation from E-book. International Journal of Computer Applications. 120, 11 ( June 2015), 13-16. DOI=10.5120/21271-4044

@article{ 10.5120/21271-4044,
author = { Keerthana.r, Jayashree.n.r },
title = { Ontology based Automatic Module Generation from E-book },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 11 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 13-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number11/21271-4044/ },
doi = { 10.5120/21271-4044 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:05:56.663721+05:30
%A Keerthana.r
%A Jayashree.n.r
%T Ontology based Automatic Module Generation from E-book
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 11
%P 13-16
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Technology Supported learning Systems have proved to be helpful in many learning situations. These systems require an appropriate representation of the knowledge to be learned, the Domain Module. The authoring of the Domain Module is cost and labor intensive. A novel DOM-Sortze is a system that uses natural language processing techniques, heuristic reasoning, and ontology for the semiautomatic construction of the Domain Module from electronic textbooks. To determine how it might help in the Domain Module authoring process, it has been tested with an electronic textbook. Its work presents novel DOM-Sortze and describes the experiment carried out. Novel DOM-Sortze comprises improving the generation of the LDO. It is planned to enhance the grammar for identifying pedagogical relationships. Novel DOM-Sortze is currently able to process images in the electronic document, it only considers their position in the text, and not where the image is referenced. Novel DOM-Sortze is being enhanced to support multilingual Domain Module generation. The LDO ontology supports the multilingual representation of the domain topics, and machine translation might be used to get approximate translations of the gathered LOs, used for searching and retrieving from the LOR or web pages.

References
  1. A. Conde, M. Larran˜aga, I. Calvo, J. A. Elorriaga, and A. Arruarte, "Automating the Authoring of Learning Material in Computer Engineering Education,"Proc. 42nd IEEE Frontiers in Education Conf. (FIE '12),pp. 1376-1381, 2012.
  2. M. Larran˜aga, A. Conde, I. Calvo, A. Arruarte, and J. A. Elorriaga, "Evaluating the Automatic Extraction of Learning Objects from Electronic Textbooks Using Erauzont," Proc. 11th Int'l Conf. Intelligent Tutoring Systems (ITS'12), pp. 655-656, 2012.
  3. Semi-AutomaticOntology Development: Processes and Resources, M. T. Pazienza and A. Stellato, eds. , IGI Global, 2012.
  4. M. Larran˜aga, I. Calvo, J. A. Elorriaga, A. Arruarte, K. Verbert, and E. Duval, "ErauzOnt: A Framework for Gathering Learning Objects from Electronic Documents,"Proc. 11th IEEE Int'l Conf. Advanced Learning Technologies (ICALT '11),pp. 656-658, 2011.
  5. P. -S. D. Chen, A. D. Lambert, and K. R. Guidry, "Engaging Online Learners: The Impact of Web-Based Learning Technology on College Student Engagement,"Computers and Education,vol. 54, no. 4, pp. 1222-1232, May 2010.
  6. A. Zouaq and R. Nkambou, "Evaluating the Generation of Domain Ontologies in the Knowledge Puzzle Project,"IEEE Trans. Knowledge and Data Eng. ,vol. 21, no. 11, pp. 1559-1572, Nov. 2009.
  7. E. Agirre, O. L. de Lacalle, and A. Soroa, "Knowledge-Based WSD and Specific Domains: Performing Better Than Generic Supervised WSD,"Proc. 21st Int'l Joint Conf. Artifical Intelligence (IJCAI '09),pp. 1501-1506, 2009.
  8. S. Ternier, D. Massart, F. V. Assche, N. Smith, B. Simon, and E. Duval, "A Simple Publishing Interface for Learning Object Repositories,"Proc. World Conf. Educational Multimedia, Hypermedia, and Telecomm. (ED-MEDIA '08),pp. 1840-1845, 2008.
  9. K. Verbert, X. Ochoa, and E. Duval, "The ALOCOM Framework: Towards Scalable Content Reuse,"J. Digital Information, vol. 9, no. 1, 2008.
  10. M. Larran˜aga, J. A. Elorriaga, and A. Arruarte, "A Heuristic NLP Based Approach for Getting Didactic Resources from Electronic Documents,"Proc. European Conf. Technology Enhanced Learning (EC-TEL '08),pp. 197-202, 2008.
  11. M. Larran˜aga, I. Niebla, U. Ruedat, J. A. Elorriaga "Towards Collaborative Domain Module Authoring,"Proc. Seventh IEEE Int'l Conf. Advanced Learning Technologies(ICALT '07), pp. 814-818, July 2007.
  12. P. -S. D. Chen, A. D. Lambert, and K. R. Guidry, "Engaging Online Learners: The Impact of Web-Based Learning Technology on College Student Engagement,"Computers and Education, vol. 54, no. 4, pp. 1222-1232, May 2010.
  13. I. Aduriz, I. Aldezabal, I. Alegria, X. Artola, N. Ezeiza, and R. Urizar, "Euslem: A Lemmatiser/Tagger for Basque," Proc. EURALEX, vol. 1, pp. 17-26, 1996.
Index Terms

Computer Science
Information Sciences

Keywords

Domain module LDO DOM-Sortze heuristic Technical Supported Learning Systems Ontology.