[Om] Natural Numbers as Linked Data [Fwd: KIT releases 14 billion triples to the Linked Open Data cloud]
ch.lange at jacobs-university.de
Wed Apr 7 23:04:30 CEST 2010
this is an interesting effort. They basically publish
machine-understandable information (RDF in this case) about all, well,
actually just _some_, natural numbers and sketch how to integrate this with
other datasets, and what benefits it will have.
This clearly shows that the semantic web community is interested in numbers,
and obviously we can help them, because we understand numbers. It turned out
that the principal investigator behind this effort is my co-author from that
WebSci paper I mentioned in previous mails. I have started negotiations with
him, trying to promote OpenMath as a part of the greater solution.
If you read more closely you will understand why I should really have
forwarded this great announcement right on the day of its appearance.
Nevertheless, all of what I said above is true, I _do_ consider such a
collaboration beneficial for us.
---------- Forwarded Message ----------
Subject: KIT releases 14 billion triples to the Linked Open Data cloud
Date: Thursday 01 April 2010, 11:59:12
From: Denny Vrandecic <dvr at aifb.uni-karlsruhe.de>
To: "semantic-web at w3.org" <semantic-web at w3.org>
We are happy to announce that the Institute AIFB at the KIT is releasing the
biggest dataset until now to the Linked Open Data cloud. The Linked Open
Numbers project offers billions of facts about natural numbers, all readily
available as Linked Data.
Our accompanying peer-reviewed paper  gives further details on the
background and implementation. We have integrated with external data sources
(linking DBpedia to all their 335 number entities) and also directly link to
the best-known linked open data browsers from the page.
You can visit the Linked Open Numbers project at:
Or point your linked open data browser directly at:
We are happy to have increased the amount of triples on the Web by more than
14 billion triples, roughly 87.5% of the size of linked data web before this
release (see paper for details). We hope that the data set will find its
The data set and the publication mechanism was checked pedantically, and we
expect no errors in the triples. If you do find some, please let us know. We
intend to be compatible with all major linked open data publication standards.
About the AIFB
The Institute AIFB (Applied Informatics and Formal Description Methods) at KIT
is one of the world-leading institutions in Semantic Web technology.
Approximately 20 researchers of the knowledge management research group are
establishing theoretical results and scalable implementations for the field,
closely collaborating with the sister institute KSRI (Karlsruhe Service
Research Institute), the start-up company ontoprise GmbH, and the Knowledge
Management group at the FZI Research Center for Information Technologies.
Particular emphasis is given to areas such as logical foundations, Semantic
Web mining, ontology creation engineering and management, RDF data management,
semantic web search, and the implementation of interfaces and tools. The
institute is involved in many industry-university co-operations, both on a
European and a national level, including a number of intelligent Web systems
The Karlsruhe Institute of Technology (KIT) is the merger of the former
Universität Karlsruhe (TH) and the former Forschungszentrum Karlsruhe. With
about 8000 employees and an annual budget of 700 million Euros, KIT is the
largest technical research institution within Germany. KIT is both, a state
university with research and teaching and, at the same time, a large-scale
research institution of the Helmholtz Association. KIT has a strong reputation
as one of Germany’s university of excellence, aiming to set the highest
standards for education, research and innovation.
 Denny Vrandecic, Markus Krötzsch, Sebastian Rudolph, Uta Lösch: Leveraging
Non-Lexical Knowledge for the Linked Open Data Web, published in Rodolphe
Héliot and Antoine Zimmermann (eds.), The Fifth RAFT'2010), the yearly
bilingual publication on nonchalant research, available at
Christoph Lange, Jacobs Univ. Bremen, http://kwarc.info/clange, Skype duke4701
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