6533b85dfe1ef96bd12be5c7

RESEARCH PRODUCT

Context-aware summary generation for Web pages

Vladimir A. OleshchukVitaly Klyuev

subject

World Wide WebStructure (mathematical logic)Information retrievalComputer scienceInformationSystems_INFORMATIONSTORAGEANDRETRIEVALWeb pageComputingMethodologies_DOCUMENTANDTEXTPROCESSINGKey (cryptography)Context (language use)ThesaurusDocument retrievalSnippetOntology (information science)

description

General purpose search engines provide users with lists of retrieved documents in response to their queries. The common structure of list elements includes the title of a document, its URL, and small snippet from the text. Snippets are evidence of occurrences of query's keywords in the document. The length of each snippet is just a couple of lines. They cannot play a role of summaries of retrieved documents: In many cases, they are not indicative and users cannot judge on the relevancy of documents. In our approach we use ontology as context description and that ontology will be used to describe user's main interest with respect to wanted summary and help to select weighting of key words and other semantically related words. Using such semantically related words would make it possible to generate summaries that are more semantically focused with respect to user's interests/queries.

yearjournalcountryeditionlanguage
2009-09-012009 IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications
https://doi.org/10.1109/idaacs.2009.5342916