Abstract
Most of the researchers have widely explored the use of link-context to determine the theme of target web-page. Link-context has been applied in areas such as search engines, focused crawlers, and automatic classification. Therefore, extraction of precise link-context may be considered as an important parameter for extracting more relevant information from the web-page. In this paper, we have proposed a rule-based approach for the extraction of the link-context from anchor-text (AT) structure using bottom-up simple LR (SLR) parser. Here, we have considered only named entity (NE) anchor-text. In order to validate our proposed approach, we have considered a sample of 4 ATs. The results have shown that, the proposed LCEA has extracted 100% actual link-context of each considered AT.
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Kumar, S., Kumar, N., Singh, M., De, A. (2013). A Rule-Based Approach for Extraction of Link-Context from Anchor-Text Structure. In: Abraham, A., Thampi, S. (eds) Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32063-7_28
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DOI: https://doi.org/10.1007/978-3-642-32063-7_28
Publisher Name: Springer, Berlin, Heidelberg
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