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- W2348792274 abstract "Nowadays,web becomes the main information resource.According to the report,tables are used frequently in web documents.Since tables are inherently concise as well as information rich,the automatic understanding of tables has many applications including knowledge management,information retrieval,web mining and so on.Study on tables information extraction based on web has an important practical significance.A large amount of information available on the web is formatted in HTML tables,which are not content-oriented,and are not suitable for understanding and query by machines.In this paper,firstly transform HTML documents to XML documents and combinate ontology to discover heuristics.Then two key technologies are analysed,including web table detection,web table structure recognition.On this basis,we normalize the HTML tables according to the attributes of HTML tables and thus this approach is appropriate to extracte complicated tables information." @default.
- W2348792274 created "2016-06-24" @default.
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- W2348792274 date "2010-01-01" @default.
- W2348792274 modified "2023-09-23" @default.
- W2348792274 title "Study on Tables Information Extraction Based on Web" @default.
- W2348792274 hasPublicationYear "2010" @default.
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