Abstract
This paper proposes a navigation assistant that provides more personalized Web navigation by exploiting domain-specific ontologies. In general, an ontology is regarded as the specification of conceptualization that enables formal definitions about things and states by using terms and relationships between them. In our approach, Web pages are converted into concepts by referring to domain-specific ontologies which employ a hierarchical concept structure. This concept mapping makes it easy to handle Web pages and also provides higher-level classification information. The proposed navigation assistant eventually recommends the Web documents that are intimately associated with the concept nodes in the upper-levels of the hierarchy by analyzing the current Web page and its outwardly-linked pages.
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© 2004 Springer-Verlag Berlin Heidelberg
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Jung, H., Yang, J., Choi, J. (2004). Ontology-Based Web Navigation Assistant. In: Yang, Z.R., Yin, H., Everson, R.M. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2004. IDEAL 2004. Lecture Notes in Computer Science, vol 3177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28651-6_65
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DOI: https://doi.org/10.1007/978-3-540-28651-6_65
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