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A Semantic Framework for Graph-based Enterprise Search

Academic Article
Publication Date:
2014
abstract:
Various recent studies have shown that in many companies workers can spend near half of their time looking for information. Effective internal search tools could make their job more efficient. However, a killer application for this type of solutions is still not available. This paper introduces an envisioned architecture, which should represent the foundations of a new generation of tools for searching information within enterprises.
Iris type:
01.01 Articolo in rivista
Keywords:
Enterprise Search; Graph Knowledge; Semantic Web
List of contributors:
Sacco, Marco; Terkaj, Walter; Modoni, GIANFRANCO EMANUELE
Authors of the University:
MODONI GIANFRANCO EMANUELE
SACCO MARCO
TERKAJ WALTER
Handle:
https://iris.cnr.it/handle/20.500.14243/223790
Published in:
APPLIED COMPUTER SCIENCE
Journal
  • Overview

Overview

URL

http://acs.pollub.pl/pdf/v10n4/7.pdf
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