A focused crawler with ontology-supported website models for information agents

Authors:
Sheng-Yuan Yang
Affiliations:
Department of Computer and Communication Engineering, St John's University, Taipei County, Taiwan
Venue:
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
Year:
2010

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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.