— To address the rapid growth of the Internet, modern Web search engines have to adopt distributed organizations, where the collection of indexed documents is partitioned among s...
Diego Puppin, Fabrizio Silvestri, Raffaele Perego,...
This paper describes a new research proposal of multi-document summarization of dynamic content in web pages. Much information is lost in the Web due to the temporal character of w...
We study a novel problem of social context summarization for Web documents. Traditional summarization research has focused on extracting informative sentences from standard docume...
Zi Yang, Keke Cai, Jie Tang, Li Zhang, Zhong Su, J...
Abstract: Document analysis and text mining techniques are used to preprocess documents in information retrieval systems, to extract concepts in ontology construction processes, an...
Inverted index structures are the mainstay of modern text retrieval systems. They can be constructed quickly using off-line mergebased methods, and provide efficient support for ...