*corresponding author
AbstractEffective information access involves the semantic interaction between users in searching activity to diverse information in the Digital Library. This is the focus of this research. The weakness of the online library system that is running is the difficulty of users looking for data collection library. There are many different perceptions that have the same meaning (synonym) in in terms of library collections such as Author and Writer. Therefore, in this research will focus on mapping between terminologies that supports to detect different meaning of perceptions .This technique can be considered as an attempt to understand the difference between perceptions in the interaction between users and information in digital libraries.
KeywordsSemantic; Ontology; Digital Library; Different Term; Meaning
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DOIhttps://doi.org/10.26555/ijain.v3i1.70 |
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References
T. Saracevic, “Digital library evaluation: Toward evolution of concepts,” Libr. Trends, vol. 49, no. 2, pp. 350–369, 2000.
G. Chowdhury and S. Chowdhury, Introduction to digital libraries. Facet publishing, 2002.
R. Rao et al., “Rich interaction in the digital library,” Commun. ACM, vol. 38, no. 4, pp. 29–39, 1995.
E. A. Fox and G. Marchionini, “Toward a worldwide digital library,” Commun. ACM, vol. 41, no. 4, pp. 29–32, 1998.
“Digital library - Wikipedia, the free encyclopedia.” .
D. Wu and A. Håkansson, “A Method of Identifying Ontology Domain,” Procedia Comput. Sci., vol. 35, pp. 504–513, 2014.
http://strathprints.strath.ac.uk/2603/
R. Thaker and A. Goel, “Domain Specific Ontology based Query processing System for Urdu Language,” Int. J. Comput. Appl., vol. 121, no. 13, 2015.
J. Zhai, Y. Liang, and L. Huang, “Linkage Discovery of Linked Data Based on Ontology Reasoning,” in Proceedings of the 17th International Digital Government Research Conference on Digital Government Research, 2016, pp. 522–524.
B. Sinha, M. Garg, and S. Chandra, “Identification and classification of relations for Indian languages using machine learning approaches for developing a domain specific ontology,” in 2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT), 2016, pp. 415–420.
M. Vujasinovic, N. Ivezic, and B. Kulvatunyou, “A survey and classification of principles for domain-specific ontology design patterns development,” Appl. Ontol., vol. 10, no. 1, pp. 41–69, 2015.
M. Fernández, A. Gómez-Pérez, J. Pazos, and A. Pazos, “Building a chemical ontology using methontology and the ontology design environment,” IEEE Intell. Syst., vol. 14, no. 1, pp. 37–46, 1999.
http://www.semanticweb.org/herlina/ontologies/2016/6/untitled-ontology-190
http://www.semanticweb.org/herlina/ontologies/2016/8/untitled-ontology-199
http://www.w3.org/RDF/Validator/
http://www.rdfabout.com/demo/validator/validate.xpd
http://www.semanticweb.org/herlina/ontologies/LibraryCO
http://www.semanticweb.org/herlina/ontologies/library1
http://www.semanticweb.org/herlina/ontologies/Library2
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