Heterogeneous information spaces are typically created by merging data from a variety of different applications and information
sources. These sources often use different identifiers for data that describe the same real-word entity (for example an artist,a conference, an organization). In this paper we propose a new probabilistic Entity Linkage algorithm for identifying and linking data that refer to the same real-world entity.
%0 Journal Article
%1 Ioannou+2008entitylinkage
%A Ioannou, Ekaterini
%A Niederée, Claudia
%A Nejdl, Wolfgang
%D 2008
%J Advanced Information Systems Engineering
%K imported
%P 556--570
%T Probabilistic Entity Linkage for Heterogeneous Information Spaces
%U http://dx.doi.org/10.1007/978-3-540-69534-9_41
%V 5074
%X Heterogeneous information spaces are typically created by merging data from a variety of different applications and information
sources. These sources often use different identifiers for data that describe the same real-word entity (for example an artist,a conference, an organization). In this paper we propose a new probabilistic Entity Linkage algorithm for identifying and linking data that refer to the same real-world entity.
@article{Ioannou+2008entitylinkage,
abstract = {Heterogeneous information spaces are typically created by merging data from a variety of different applications and information
sources. These sources often use different identifiers for data that describe the same real-word entity (for example an artist,a conference, an organization). In this paper we propose a new probabilistic Entity Linkage algorithm for identifying and linking data that refer to the same real-world entity.},
added-at = {2008-11-20T22:16:48.000+0100},
author = {Ioannou, Ekaterini and Niederée, Claudia and Nejdl, Wolfgang},
biburl = {https://www.bibsonomy.org/bibtex/2bd620e9e0ab801d9107c0f5676c8acbb/leobard},
description = {SpringerLink - Buchkapitel},
interhash = {260500a97268fe7c31d5328b17a5db4b},
intrahash = {bd620e9e0ab801d9107c0f5676c8acbb},
journal = {Advanced Information Systems Engineering},
keywords = {imported},
pages = {556--570},
timestamp = {2008-11-20T22:16:48.000+0100},
title = {Probabilistic Entity Linkage for Heterogeneous Information Spaces},
url = {http://dx.doi.org/10.1007/978-3-540-69534-9_41},
volume = 5074,
year = 2008
}