=Paper=
{{Paper
|id=None
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-877/EDF_2012_PRES.pdf
|volume=Vol-877
}}
==None==
https://ceur-ws.org/Vol-877/EDF_2012_PRES.pdf
Proceedings of the European Data Forum 2012
June 6-7, 2012, Copenhagen DK
Collected Abstracts of Posters and
Demonstrations
Edited by
Michael Hausenblas, DERI, Ireland
Elena Simperl, Karlsruhe Institute of Technology, Germany
1
Contents
1 "FactForge Data Service and the Value of Inerred Knowledge
over LOD" 3
Mariana Damova, Atanas Kiryakov, Ontotext
2 “Open Bank Project” 4
Simon Redfern, TESOBE
2
"Open Bank Project"
Simon Redfern, TESOBE
Abstract: The Open Bank Project proposes a radical ‘opening’ of banking
transactions in order to target corruption, fraud and financial malpractice. It
seeks to break the vicious circle of information deficit, distrust and corruption
and bring about greater engagement, dialogue and trust. The Open Bank
Project applies Open Source and Web 2.0 principles to real time financial
transaction data. It empowers organisations to share views of their bank
accounts with the public and trusted groups and encourages the public to enter
into a timely and lively dialogue concerning the financial transaction data. Both
parties may add meta data to link and enrich the data. This is achieved through
a technical platform that connects to disparate core banking systems and
exposes a consistent and developer friendly application programmers interface
(API) to facilitate data reuse and the generation of innovative applications and
services.
3
“FactForge Data Service and the Value of Inferred
Knowledge over LOD”
Mariana Damova, Atanas Kiryakov
Ontotext, Tsarigradsko Chausse 47A, Sofia 1504, Bulgaria
mariana.damova@ontotext.com, naso@ontotext.com
Abstract: Linked Open Data movement is maturing. Not only LOD cloud in-
creases by billions of triples yearly, but also technologies and guidelines about
how to produce linked data fast, how to assure their quality, and how to provide
vertical oriented data services are being developed (LOD2, LATC, baseKB).
Little is said however about reasoning in the web of data and about coping with
the diversity of the data.
In this talk we will present the new version of FactForge - an open data service
which allows easy, reliable and integrated usage of the central LOD datasets.
The new version of FactForge is supplied with a reference layer which makes
the access to the heterogeneous data very efficient. This is the new version of
PROTON - an upper-level ontology of about 500 classes and 150 properties -
that was loaded in FactForge and mapped to the schemata of DBPedia, Free-
base and Geonames. The datasets and the ontologies were loaded in a single
repository (OWLIM), forming a compound dataset, on which inference is per-
formed – a reason-able view – featuring the following statistics: 1.7 billion
explict statements loaded; 15 billion retrievable statements available after in-
ference and owl:sameAs expansion; with 1.4 billion inferred statements.
Through its UI FactForge allows one to explore and query the integrated da-
4
tasets, being able to distinguish which data is inferred and which comes from
which dataset. Users case evaluate SPARQL queries, use incremental search
over URIs, explore individual resources and play with RelFinder. We will pre-
sent applications which make use of FactForge and emphasize the role of in-
ferred knowledge in them, and will argue for a new par-adigm of data services,
based not only on linked data verticals but also on in-ferred knowledge.
5