Abstract
This paper advocated the use of ontology-supported website models to provide a semantic level solution for an information agent so that it can provide fast, precise, and stable query results. Based on the technique, a focused crawler, namely, OntoCrawler, was developed, which can benefit both user requests and domain semantics. Equipped with this technique, we have developed an ontology-supported information agent shell in Scholar domain which manifests the following interesting features: ontology-supported construction of website models, website models-supported website model expansion, website models-supported webpage retrieval, high-level outcomes of information recommendation, and accordingly proved the feasibility of the related techniques proposed in this paper.
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Yang, SY. (2010). A Focused Crawler with Ontology-Supported Website Models for Information Agents. In: Bellavista, P., Chang, RS., Chao, HC., Lin, SF., Sloot, P.M.A. (eds) Advances in Grid and Pervasive Computing. GPC 2010. Lecture Notes in Computer Science, vol 6104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13067-0_54
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DOI: https://doi.org/10.1007/978-3-642-13067-0_54
Publisher Name: Springer, Berlin, Heidelberg
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