Abstract
The emerging Semantic Web has facilitated the incorporation of various large-scale on-line ontologies and semantic-based applications; howbeit Web ontologies are due to their complex nature far from being a commodity and make user exploration run into a number of difficulties. Concept maps that provide visual languages for organizing and representing knowledge may complement Web ontologies in several aspects to support efficient knowledge reuse. In this paper, we propose, on top of the Semantic Web technology, an interactive visual model that extends Web ontology with concept map for exploring Web ontologies. We propose several algorithms from the point of view of the graph theory to analyze and uncover some underlying characteristics, to enhance Web ontology exploration in some novel aspects.
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References
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American (2001)
Gruber, T.: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5(2), 199–220 (1993)
Berners-Lee, T.: Conceptual Graphs and the Semantic Web. W3C Design Issues (2001)
Gaines, B.R., Shaw, M.L.G.: WebMap: Concept Mapping on the Web. In: Proceedings of the 2nd International WWW Conference (1995)
Novak, J.D., Gowin, D.B.: Learning how to learn. Cambridge University Press, Cambridge (1984)
Ausubel, D.P.: The psychology of meaningful verbal learning. Grune & Stratton, New York (1968)
Gaines, B.R., Shaw, M.L.G.: Concept maps indexing multimedia knowledge bases. In: AAAI 1994 Workshop: Indexing and Reuse in Multimedia Systems, Menlo Park, California (1994)
Hall, R., Stocks, E.L.: Guided Surfing: Development and Assessment of a World Wide Web Interface for an Undergraduate Psychology Class. In: Proceedings of North American Web Developers Conference (1997)
Carnot, M., Dunn, B., et al.: Concept Maps vs. Web Pages for Information Searching and Browsing. In: Proceedings of the 2003 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists on Enablement through Technology (2003)
Zhou, X., Wu, Z., Yin, A., et al.: Ontology Development for Unified Traditional Chinese Medical Language System. Journal of Artificial Intelligence in Medicine 32(1), 15–27 (2004)
Mao, Y., et al.: Interactive Semantic-based Visualization Environment for Traditional Chinese Medicine Information. In: Proceedings of the 7th Asia-Pacific Web Conference (2005)
Gerbe, O., Mineau, G.W.: The CG Formalism as an Ontolingua for Web-Oriented Representation Languages. In: Priss, U., Corbett, D.R., Angelova, G. (eds.) ICCS 2002. LNCS (LNAI), vol. 2393, p. 205. Springer, Heidelberg (2002)
Corbett, D.: Interoperability of Ontologies Using Conceptual Graph Theory. In: Wolff, K.E., Pfeiffer, H.D., Delugach, H.S. (eds.) ICCS 2004. LNCS (LNAI), vol. 3127, pp. 375–387. Springer, Heidelberg (2004)
Noy, N.F., Musen, M.A.: Specifying Ontology Views by Traversal. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 713–725. Springer, Heidelberg (2004)
Bhatt, M., Taniar, D.: A Distributed Approach to Sub-Ontology Extraction. In: Proceedings of 18th International Conference on Advanced Information Networking and Applications (2004)
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Mao, Y., Wu, Z., Chen, H., Zheng, X. (2006). Concept Map Model for Web Ontology Exploration. In: Zhou, X., Li, J., Shen, H.T., Kitsuregawa, M., Zhang, Y. (eds) Frontiers of WWW Research and Development - APWeb 2006. APWeb 2006. Lecture Notes in Computer Science, vol 3841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610113_48
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DOI: https://doi.org/10.1007/11610113_48
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