Leveraging Non-Lexical Knowledge for the Linked Open Data Web
Denny Vrandecic, Markus Krötzsch, Sebastian Rudolph, Uta Lösch
Leveraging Non-Lexical Knowledge for the Linked Open Data Web
Abstract. The Linked Data paradigm introduces the possibility to share machine-readable data across numerous Web resources, thus enabling applications that are traditionally only possible in corporate intranets to be realized on a Web scale. Due to the creation of an increasing number of publicly available Linked Open Data resources, the Web of Data has become a major application area for semantic technologies. This work introduces a recently published data set LON of non-lexical entities (NLEs) that can be used for numerous tasks of quantitative modeling on the Semantic Web. The size of the published data increases the magnitude of the public Linked Data significantly, yet we show how it can be seamlessly integrated into current application architectures for the Web of Data.
Published at Review of AF Transactions (Journal paper)
Download PDF (last update: April 1 2010)
Citation details
- Denny Vrandecic, Markus Krötzsch, Sebastian Rudolph, Uta Lösch. Leveraging Non-Lexical Knowledge for the Linked Open Data Web. In Review of AF Transactions 1/2010, pp. 18–27. Antoine ZimmermannProperty "Publisher" has a restricted application area and cannot be used as annotation property by a user. 2010.
author = {Denny Vrande\v{c}i\'{c} and Markus Kr\"{o}tzsch
and Sebastian Rudolph and Uta L\"{o}sch},
title = {Leveraging Non-Lexical Knowledge for the
Linked Open Data Web},
journal = {Review of AF Transactions},
volume = {1},
pages = {18--27},
year = {2010}
}
Remarks
A special work for a very special occasion. To help convincing funding bodies to support future work on this ambitious yet crucial research programme, you can also join our fan page on Facebook.
