Abstract
Updating and retrieving location-based data is an important problem in Location-Based Service (LBS) applications. The Web is a valuable pool of location-based information. Such information can be retrieved and extracted on the basis of corresponding postal addresses. This paper proposes an information extraction method to help collect location-based information from the Web automatically. The proposal applies an ontology-based conceptual information retrieval approach combined with graph matching techniques. Experimental evaluation shows that the method yields high recall and precision results.
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Cai, W., Wang, S., Jiang, Q. (2005). Address Extraction: Extraction of Location-Based Information from the Web. In: Zhang, Y., Tanaka, K., Yu, J.X., Wang, S., Li, M. (eds) Web Technologies Research and Development - APWeb 2005. APWeb 2005. Lecture Notes in Computer Science, vol 3399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31849-1_88
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DOI: https://doi.org/10.1007/978-3-540-31849-1_88
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