Query Sensitive Comparative Summarization of Search Results Using Concept Based Segmentation

Autor:	Chitra, P., Baskaran, R., Sarukesi, K.
Rok vydání:	2023
Předmět:	FOS: Computer and information sciences query based summary Comparative Summarization concept segmentation Information Retrieval (cs.IR) Computer Science - Information Retrieval
DOI:	10.5281/zenodo.8072737
Popis:	Query sensitive summarization aims at providing the users with the summary of the contents of single or multiple web pages based on the search query. This paper proposes a novel idea of generating a comparative summary from a set of URLs from the search result. User selects a set of web page links from the search result produced by search engine. Comparative summary of these selected web sites is generated. This method makes use of HTML DOM tree structure of these web pages. HTML documents are segmented into set of concept blocks. Sentence score of each concept block is computed with respect to the query and feature keywords. The important sentences from the concept blocks of different web pages are extracted to compose the comparative summary on the fly. This system reduces the time and effort required for the user to browse various web sites to compare the information. The comparative summary of the contents would help the users in quick decision making. Computer Science & Engineering: An International Journal (CSEIJ), Vol.1, No.5, December 2011
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64cf529ae2b7f152a1d6f6b5fd95af70 Zobrazit plný text záznamu