Information Extraction Using Web Usage Mining, Web Scrapping and Semantic Annotation
Web Data Extraction
Web Crawling
Semantic Web
Semantic Web Services
Automated Web Service Discovery
Version:
-
DOI:
10.1109/cicn.2011.97
Publication Date:
2011-10-01
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AUTHORS (2)
ABSTRACT
Extracting useful information from the web is most significant issue of concern for realization semantic web. This may be achieved by several ways among which Web Usage Mining, Scrapping and Semantic Annotation plays an important role. mining enables to find out relevant results used extract meaningful discovery patterns kept back in servers. usage a type mines access routes/manners users visiting sites. scraping, another technique, process extracting HTML pages implemented using scripting language known as Prolog Server Pages(PSP) based on Prolog. Third, annotation technique makes it possible add semantics formal structure unstructured textual documents, aspect extraction performed tool KIM(Knowledge Information Management). In this paper, we revisit, explore discuss some techniques like mining, scrapping better or efficient illustrated with examples.
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