The Web of Data is built upon two simple ideas: Employ the RDF data model to publish structured data on the Web and to create explicit data links between entities within different data sources. This paper presents the Silk - Linking Framework, a toolkit for discovering and maintaining data links between Web data sources. Silk consists of three components: 1. A link discovery engine, which computes links between data sources based on a declarative specification of the conditions that entities must fulfill in order to be interlinked; 2. A tool for evaluating the generated data links in order to fine-tune the linking specification; 3. A protocol for maintaining data links between continuously changing data sources. The protocol allows data sources to exchange both linksets as well as detailed change information and enables continuous link recomputation. The interplay of all the components is demonstrated within a life science use case.
%0 Book Section
%1 VolzBizerEtAl09ISWC
%A Volz, Julius
%A Bizer, Christian
%A Gaedke, Martin
%A Kobilarov, Georgi
%B The Semantic Web -- ISWC 2009: 8th International Semantic Web Conference, Chantilly, VA, USA
%C Berlin
%D 2009
%E Bernstein, Abraham
%E Karger, David R.
%E Heath, Tom
%E Feigenbaum, Lee
%E Maynard, Diana
%E Motta, Enrico
%E Thirunarayan, Krishnaprasad
%I Springer
%K 01624 springer paper ai semantic web rdf retrieval zzz.sw
%P 650--665
%R 10.1007/978-3-642-04930-9_41
%T Discovering and Maintaining Links on the Web of Data
%V 5823
%X The Web of Data is built upon two simple ideas: Employ the RDF data model to publish structured data on the Web and to create explicit data links between entities within different data sources. This paper presents the Silk - Linking Framework, a toolkit for discovering and maintaining data links between Web data sources. Silk consists of three components: 1. A link discovery engine, which computes links between data sources based on a declarative specification of the conditions that entities must fulfill in order to be interlinked; 2. A tool for evaluating the generated data links in order to fine-tune the linking specification; 3. A protocol for maintaining data links between continuously changing data sources. The protocol allows data sources to exchange both linksets as well as detailed change information and enables continuous link recomputation. The interplay of all the components is demonstrated within a life science use case.
@incollection{VolzBizerEtAl09ISWC,
abstract = {The Web of Data is built upon two simple ideas: Employ the RDF data model to publish structured data on the Web and to create explicit data links between entities within different data sources. This paper presents the Silk - Linking Framework, a toolkit for discovering and maintaining data links between Web data sources. Silk consists of three components: 1. A link discovery engine, which computes links between data sources based on a declarative specification of the conditions that entities must fulfill in order to be interlinked; 2. A tool for evaluating the generated data links in order to fine-tune the linking specification; 3. A protocol for maintaining data links between continuously changing data sources. The protocol allows data sources to exchange both linksets as well as detailed change information and enables continuous link recomputation. The interplay of all the components is demonstrated within a life science use case.},
added-at = {2017-03-26T15:07:51.000+0200},
address = {Berlin},
author = {Volz, Julius and Bizer, Christian and Gaedke, Martin and Kobilarov, Georgi},
biburl = {https://www.bibsonomy.org/bibtex/22df5dfba413da6eaae6b481765843011/flint63},
booktitle = {The Semantic Web -- ISWC 2009: 8th International Semantic Web Conference, Chantilly, VA, USA},
crossref = {ISWC2009},
doi = {10.1007/978-3-642-04930-9_41},
editor = {Bernstein, Abraham and Karger, David R. and Heath, Tom and Feigenbaum, Lee and Maynard, Diana and Motta, Enrico and Thirunarayan, Krishnaprasad},
file = {SpringerLink:2009/VolzBizerEtAl09ISWC.pdf:PDF},
groups = {public},
interhash = {16e6259f2bb260279e78ba02f3675c9e},
intrahash = {2df5dfba413da6eaae6b481765843011},
keywords = {01624 springer paper ai semantic web rdf retrieval zzz.sw},
pages = {650--665},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2017-07-13T18:16:24.000+0200},
title = {Discovering and Maintaining Links on the Web of Data},
username = {flint63},
volume = 5823,
year = 2009
}