Abstract
A semantic (web) crawler refers to a series of web crawlers designed for harvesting semantic web content. This paper presents the framework of a semantic crawler that can abstract metadata from online webpages and cluster the metadata by associating them with ontological concepts. The clustering is based on a CBR algorithm which is adopted in the field of problem solving. We reveal the technical details with regard to ontological concept and metadata format, and the extended CBR algorithm. In addition, the system implementation and evaluation details are provided in detail, finalized by our conclusion and further works.
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CITATION STYLE
Dong, H., Hussain, F. K., & Chang, E. (2008). A semantic crawler based on an extended CBR algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5333, pp. 1076–1085). Springer Verlag. https://doi.org/10.1007/978-3-540-88875-8_135
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