Title : ( Conceptual Summarization using Ontologies and Nearest Neighborhood Clustering )
Authors: E. Gavagsaz , Mahmoud Naghibzadeh , M. Jalali ,
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Abstract
Conceptual summarization aims to provide a database which comprises an abstraction of the entire document content. To effectively provide conceptual summarization, we have presented an approach that is used for conceptual querying. The approach is based on utilizing an ontology for similarity measure between concepts and the nearest neighborhood clustering algorithm for concepts clustering. The results show an improvement in the runtime and tolerant as regards noise
Keywords
conceptual summarization; ontology; nearest neighborhood clustering
@inproceedings{paperid:1028492,
author = {E. Gavagsaz and Naghibzadeh, Mahmoud and M. Jalali},
title = {Conceptual Summarization using Ontologies and Nearest Neighborhood Clustering},
booktitle = {2011 International Conference on Semantic Technology and Information Retrieval},
year = {2011},
location = {Putrajaya},
keywords = {conceptual summarization; ontology; nearest
neighborhood clustering},
}
%0 Conference Proceedings
%T Conceptual Summarization using Ontologies and Nearest Neighborhood Clustering
%A E. Gavagsaz
%A Naghibzadeh, Mahmoud
%A M. Jalali
%J 2011 International Conference on Semantic Technology and Information Retrieval
%D 2011
