A computational model for developing semantic web-based educational systems

A computational model for developing semantic web-based educational systems Recently, some initiatives to start the so-called semantic web-based educational systems (SWBES) have emerged in the field of artificial intelligence in education (AIED). The main idea is to incorporate semantic web resources to the design of AIED systems aiming to update their architectures to provide more adaptability, robustness and richer learning environments. However, the construction of such systems is highly complex and faces several challenges in terms of software engineering and artificial intelligence aspects. This paper presents a computational model for developing SWBES focusing on the problem of how to make the development easier and more useful for both developers and authors. In order to illustrate the features of the proposed model, a case study is presented. Furthermore, a discussion about the results regarding the computational model construction is available. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Knowledge-Based Systems Elsevier

A computational model for developing semantic web-based educational systems

Loading next page...
 
/lp/elsevier/a-computational-model-for-developing-semantic-web-based-educational-EefL5MYj9j
Publisher
Elsevier
Copyright
Copyright © 2009 Elsevier B.V.
ISSN
0950-7051
D.O.I.
10.1016/j.knosys.2009.02.012
Publisher site
See Article on Publisher Site

Abstract

Recently, some initiatives to start the so-called semantic web-based educational systems (SWBES) have emerged in the field of artificial intelligence in education (AIED). The main idea is to incorporate semantic web resources to the design of AIED systems aiming to update their architectures to provide more adaptability, robustness and richer learning environments. However, the construction of such systems is highly complex and faces several challenges in terms of software engineering and artificial intelligence aspects. This paper presents a computational model for developing SWBES focusing on the problem of how to make the development easier and more useful for both developers and authors. In order to illustrate the features of the proposed model, a case study is presented. Furthermore, a discussion about the results regarding the computational model construction is available.

Journal

Knowledge-Based SystemsElsevier

Published: May 1, 2009

References

  • Artificial Intelligence: A Modern Approach
    Russel, S.; Norvig, P.
  • Semantic web services for e-learning
    Millard, D.E.; Doody, K.; Davis, H.C.; Gilbert, L.; Howard, Y.; Tao, F.; Wills, G.
  • A model of multitutor ontology-based learning environments
    Mitrovic, A.; Devedzic, V.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off