TEXT: Automatic Template Extraction from Heterogeneous Web Pages

World Wide Web is the most useful source of information. In order to achieve high productivity of publishing, the webpages in many websites are automatically populated by using the common templates with contents. The templates provide readers easy access to the contents guided by consistent structur...

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Vydané v:	IEEE transactions on knowledge and data engineering Ročník 23; číslo 4; s. 612 - 626
Hlavní autori:	Kim, Chulyun, Shim, Kyuseok
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.04.2011 IEEE Computer Society The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Applied sciences Artificial intelligence Clustering Clustering algorithms Clusters Computer science; control theory; systems Computer systems and distributed systems. User interface Data mining Data models Data processing. List processing. Character string processing Exact sciences and technology HTML Information systems. Data bases Memory organisation. Data processing Merging MinHash minimum description length principle Readers Search engines Similarity Software Speech and sound recognition and synthesis. Linguistics Studies Template extraction Web pages Websites World Wide Web XML Electronic document Information extraction Information source Classification World wide web Robustness Document analysis Pattern extraction Productivity Content access Template extraction Useful information Search engine Cluster Information retrieval Text Case based reasoning minimum description length principle Document structure Minimum principle clustering Internet Web site MinHash Algorithm analysis
ISSN:	1041-4347, 1558-2191
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