Article

Ontology-based content model for scalable content reuse

Authors:

Sasa Nesic,

Jelena Jovanovic,

Dragan Gasevic,

Mehdi JazayeriAuthors Info & Claims

K-CAP '07: Proceedings of the 4th international conference on Knowledge capture

Pages 195 - 196

https://doi.org/10.1145/1298406.1298451

Published: 28 October 2007 Publication History

Get Access

Abstract

The paper presents Abstract Compound Content Model (ACCM), a generic content model which we have devel-oped aiming to facilitate interoperability, repurposing and integration of diverse platform specific content models. Based on this model we have developed the ACCM ontology in order to turn the ACCM's elements (i.e., content units and content aggregations) into resources that can be directly accessed and thus reused. The paper also presents our current work on the implementation of an ACCM-based content management system that enables efficient storage, indexing, search and retrieval of content units as they are defined in the ACCM ontology.

References

[1]

Gaaevi, D., Djuri, D., Deved i, V., Model Driven Ar--chitecture and Ontology Development, Springer, 2006.

Digital Library

Google Scholar

[2]

Verbert, K., Jovanovi, J., Duval, E., Gaaevi, D., Meire, M., "Ontology-based Learning Content Repurposing: the ALOCoM Framework," International Journal on E-Learning, Vol. 5, No. 1, 2006, pp. 67--74.

Google Scholar

[3]

Handschuh, S., Volz, R., Staab, S., "Annotation for the Deep Web," IEEE Intelligent Systems, Vol.18, No. 5, 2003, pp. 42--48.

Digital Library

Google Scholar

[4]

Jovanovi, J., Gaaevi, D., Deved i, V., "Ontology-based Automatic Annotation of Learning Content," Int5rnational Journal on Semantic Web and Information Systems, Vol. 2, No. 2, 2006, pp. 91--119.

Crossref

Google Scholar

Cited By

View all

Sladić GCverdelj-Fogaraši IGostojić SSavić GSegedinac MZarić M(2017)Multilayer document model for semantic document management servicesJournal of Documentation10.1108/JD-07-2016-009573:5(803-824)Online publication date: 11-Sep-2017
https://doi.org/10.1108/JD-07-2016-0095
Kim G(2011)A Content Aggregation Scheme through an Ontological Categorization2011 IEEE Asia-Pacific Services Computing Conference10.1109/APSCC.2011.45(239-242)Online publication date: Dec-2011
https://doi.org/10.1109/APSCC.2011.45
Giordano DFaro AMaiorana FPino CSpampinato C(2009)Feeding back learning resources repurposing patterns into the “information loop”: opportunities and challenges2009 9th International Conference on Information Technology and Applications in Biomedicine10.1109/ITAB.2009.5394368(1-6)Online publication date: Nov-2009
https://doi.org/10.1109/ITAB.2009.5394368
Show More Cited By

Index Terms

Ontology-based content model for scalable content reuse
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning

Recommendations

Ontology-based learning content repurposing
WWW '05: Special interest tracks and posters of the 14th international conference on World Wide Web

This paper investigates basic research issues that need to be addressed for developing an architecture that enables repurposing of learning objects in a flexible way. Currently, there are a number of Learning Object Content Models (e.g. the SCORM ...
Evaluating the ALOCOM approach for scalable content repurposing
EC-TEL'07: Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale

In this paper, an evaluation is presented of a framework that supports flexible content repurposing. Unlike the usual practice where content components, such as slides, images, definitions, text fragments, tables, or diagrams, are assembled manually ...
Ontology-Based Semantic Indexing for MPEG-7 and TV-Anytime Audiovisual Content

In this paper, we describe a framework that we have developed for the support of ontology-based semantic indexing and retrieval of audiovisual content following the MPEG-7 and TV-Anytime standard specifications for metadata descriptions. Our work aims ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

K-CAP '07: Proceedings of the 4th international conference on Knowledge capture

October 2007

216 pages

ISBN:9781595936431

DOI:10.1145/1298406

Editors:
Derek Sleeman
University of Aberdeen, UK
,
Ken Barker
University of Texas at Austin

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 October 2007

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

K-CAP07

Sponsor:

K-CAP07: International Conference on Knowledge Capture 2007

October 28 - 31, 2007

BC, Whistler, Canada

Acceptance Rates

Overall Acceptance Rate 55 of 198 submissions, 28%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
299
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 24 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Sladić GCverdelj-Fogaraši IGostojić SSavić GSegedinac MZarić M(2017)Multilayer document model for semantic document management servicesJournal of Documentation10.1108/JD-07-2016-009573:5(803-824)Online publication date: 11-Sep-2017
https://doi.org/10.1108/JD-07-2016-0095
Kim G(2011)A Content Aggregation Scheme through an Ontological Categorization2011 IEEE Asia-Pacific Services Computing Conference10.1109/APSCC.2011.45(239-242)Online publication date: Dec-2011
https://doi.org/10.1109/APSCC.2011.45
Giordano DFaro AMaiorana FPino CSpampinato C(2009)Feeding back learning resources repurposing patterns into the “information loop”: opportunities and challenges2009 9th International Conference on Information Technology and Applications in Biomedicine10.1109/ITAB.2009.5394368(1-6)Online publication date: Nov-2009
https://doi.org/10.1109/ITAB.2009.5394368
Nešić S(2009)Semantic Document Model to Enhance Data and Knowledge InteroperabilityWeb 2.0 & Semantic Web10.1007/978-1-4419-1219-0_6(135-160)Online publication date: 3-Nov-2009
https://doi.org/10.1007/978-1-4419-1219-0_6

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Ontology-based learning content repurposing

Evaluating the ALOCOM approach for scalable content repurposing

Ontology-Based Semantic Indexing for MPEG-7 and TV-Anytime Audiovisual Content