Cooperative Conceptual Retrieval for Heterogeneous Information

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contributor.author Nafkha, Ibtissem en_US
contributor.author Jaoua, Ali en_US
date.accessioned 2009-12-30T06:04:46Z en_US
date.available 2009-12-30T06:04:46Z en_US
date.issued 2006-12-06 en_US
identifier.citation Nafkha, I.; Jaoua, A., "Cooperative Conceptual Retrieval for Heterogeneous Information," Digital Information Management, 2006 1st International Conference on , vol., no., pp.326,331, 6-6 Dec. 2006 en_US
identifier.uri http://dx.doi.org/10.1109/ICDIM.2007.369218 en_US
identifier.uri http://hdl.handle.net/10576/10578 en_US
description.abstract The potentials of formal concept analysis (FCA) for information retrieval have been highlighted by a number of research studies since its inception. With the advent of the Web along with the unprecedented amount of information coming from sources of heterogeneous data, FCA is more useful and practical than ever, because this technology addresses important limitations of the systems that currently support users in their quest for information. In this paper, we focus on the unique features of FCA for searching in distributed heterogeneous information. The development of FCA-based applications for distributed heterogeneous information returns a major gain. en_US
language.iso en en_US
publisher IEEE en
subject Heterogeneous Information en_US
subject Internet en
subject data analysis en
subject information retrieval en
title Cooperative Conceptual Retrieval for Heterogeneous Information en_US
type Article en_US


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