Abstract
Even if the keyword-based search played an important role in finding the learning resources, it cannot satisfy users’ needs because of lack of the semantics of learning resources. This paper used two kinds of ontologies, core and domain, to search learning resources relevant to given users’ query. The general semantics of learning resources are represented by the core ontology, constructed from the metadata of learning resources. In our prototype, we built the domain ontology about middle school Mathematics with help of domain experts. And our system used the OWL-DL and SWRL to represent ontologies, and the reasoning engine, KAON2 and BOSSAM to handle these ontologies. This system will be used by the EDUNET - the largest nationwide service of sharing learning resources, that is operated by KERIS for students and instructors throughout Korea. Our performance results show that the proposed mechanism is better than the keyword-based mechanism.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
EDUNET. http://edunet4u.net
KERIS(Korea Education & Research Information Service), http://www.keris.or.kr
Shon, J.-G., Cho, Y.-S., Chung, K.-S.: Research on Metadata(KEM v3.0) for Higher Educational Information and Digital Rights Management. Research Report KR-2005-27, KERIS (2005)
Hodgins, W., et al.: Draft Standard for Learning Object Metadata. IEEE 1484.12.1-2002 (2002), http://ltsc.ieee.org/wg12/files/LOM_1484_12_1_v1_Final_Draft.pdf
Nilsson, M., Palmer, M., Naeve, A.: A Sematic Web Meta-data for e-learning – some Architectural Guidelines. In: Proceedings of the 11th World Wide Web Conference(WWW2002), Hawaii, USA (2002)
Antonious, G., van Harmelen, F.: A semantic web primer. The MIT Press, Cambridge ch. 1 (2004)
Taibi, D., Gentile, M., Seta, L., Semantic, A.: Search Engine for Learning Resources. In: Proceedings of the Third International conference on Multimedai and Information and Communication Technologies in Education, m-ICTE2005 (2005)
Kindle, C.: Ontology-supported Information Retrieval. In: Proceedings of EUROCON 2005 (November 2005)
Hustadt, U., Motik, B., Sattler, U.: Reasoning in Description Logics with a Concrete Domain in the Framework of Resolution. In: Proc. of the 16th European Conference on Artificial Intelligence (ECAI, Valencia, Spain, August, 2004, pp. 353–357 (2004)
Jang, M.: Bossam: an extended rule engine for the web. In: Antoniou, G., Boley, H. (eds.) RuleML 2004. LNCS, vol. 3323, Springer, Heidelberg (2004)
Lassila, O., Swick, R.: Resource Description Framework (RDF) model and syntax specification (1999), http://www.w3c.org/TR/,/REC-rdf-syntax-19990222/
Nilsson, M., Palmér, M., Brase, J.: The LOM RDF Binding - Principles and Implementation. In: Proceedings of the Third Annual ARIADNE conference (2003)
The Dublin Core Metadata Initiative, http://dublincore.org/
Cha, J., Cho, Y.-S., Choe, H., Choi, Y.-S, Moon, N.: Research on Enchancing the Education Resource management with ontology. Research Report KR-2006-xx, KERIS (December 2006)
Haarslev, V., Möller, R.: Racer: An OWL Reasoning Agent for the Semantic Web. In: Proceedings of the International Workshop on Applications, Products and Services of Web-based Support Systems, in conjunction with the 2003 IEEE/WIC International Conference on Web Intelligence, Ê Halifax, Canada, October 13, pp. 91–95. IEEE, Los Alamitos (2003)
Horrocks, I., Sattler, U.: A tableaux decision procedure for SHOIQ. In: Proc. of the 19th Int. Joint Conf. on Artificial Intelligence (IJCAI 2005), pp. 448–453 (2005)
Protee- (2000), http://protege.stanford.edu
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chang, B., Ham, Dh., Moon, Ds., Choi, Y.S., Cha, J. (2007). Using Ontologies to Search Learning Resources. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4705. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74472-6_95
Download citation
DOI: https://doi.org/10.1007/978-3-540-74472-6_95
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74468-9
Online ISBN: 978-3-540-74472-6
eBook Packages: Computer ScienceComputer Science (R0)