=Paper=
{{Paper
|id=Vol-1303/preface
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1303/preface.pdf
|volume=Vol-1303
|dblpUrl=https://dblp.org/rec/conf/semweb/Calbimonte14
}}
==None==
https://ceur-ws.org/Vol-1303/preface.pdf
Preface
The 3rd International Workshop on Ordering and Reasoning (OrdRing 2014) was
colocated with the 13th International Semantic Web Conference (ISWC 2014)
in Riva del Garda, Italy. The OrdRing workshop series aims at stimulating a
paradigm shift in semantic technologies toward novel methods that integrate
ordering with reasoning inspired by stream and rank-aware data management.
The continuous growth of volume, velocity and variety of data poses new
challenge for their processing, especially when it has to be done in real-time
or near-real time. It often happens that orders are involved in those processes:
the input data can be ordered by some criteria (e.g. recency, proximity), and
so the output data (e.g. relevance). In both cases, orders can play a key-role,
enabling the design of ad-hoc algorithms and processes that exploit those orders
to increase the performance. A relevant example can be found in rank-aware data
management, where there are techniques to perform query answering through
streaming algorithms that exploit the natural or enforceable orders in the data.
Moreover, in stream data management, algorithms are not only designed to be
online and streaming, but also any-time: they processes the input data and they
produce sequences of valid answers at different time instants. The expressive
power of Semantic technologies is needed in those applications, but Semantic
Technologies risk being unable to address the needs of those applications, because
they do not consider ordering as an essential property. Ranking results is often
seen as an added task, performed after inference, without affecting the inference
process, which is order-agnostic.
The OrdRing workshops reflect a trend towards order-aware semantic tech-
nologies: both researchers and practitioners understand that order matters in
reasoning over massive and highly dynamic data. The idea of Stream Reason-
ing is gaining considerable momentum. Some top-k query answering techniques
for Linked Data appeared. Several works are considering SPARQL query an-
swering on RDF annotated with partially ordered labels. The description logic
community is investigating top-k ontological query answering.
This year, OrdRing registered the highest number of attendees of its series.
This achievement was possible mainly thanks to the five papers that were pre-
sented. Two of them targetted the problem of identifying and selecting relevant
data in huge data sets, while the others focussed on Stream Reasoning, in par-
ticular on its foundations and its future directions. Two papers were selected
as best papers and won the opportunity to be published on Journal of Data
Semantics.
The previous edition of OrdRing hosted the first face to face meeting of
the W3C RDF Stream Processing Community Group. One year later, OrdRing
featured a keynote by Jean-Paul Calbimonte, current chair of the W3C RSP-CG.
During his speech, Jean-Paul reported on the first year of activity of the group
and on the upcoming challenges for the second year activity.
We would like to thank the authors for their high-level submissions, the
speakers for their involving presentations, and the attendees for their interest
and participation during the event. Finally, we would like to thank the program
v
committee members, that helped us in selecting the papers by providing use-
ful and valuable comments. Said so, we are happy and proud to present the
proceedings of OrdRing 2014
November, 2014 Oscar Corcho
Milano Irene Celino
Daniele Dell’Aglio
Emanuele Della Valle
Markus Krötzsch
Stefan Schlobach
vi
Table of Contents
Invited Talk
RDF Stream Processing: Lets React . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Jean-Paul Calbimonte
Accepted Papers
Towards a Logic-Based Framework for Analyzing Stream Reasoning . . . . . 11
Harald Beck, Minh Dao-Tran, Thomas Eiter and Michael Fink
Enhanced e-Learning Experience by Pushing the Limits of Semantic
Web Technologies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Andrea Zielinski, Jürgen Bock, Dan R. Kohen-Vacs, Florian Heberle
and Peter A. Henning
Towards a Top-K SPARQL Query Benchmark Generator . . . . . . . . . . . . . . . 35
Shima Zahmatkesh, Emanuele Della Valle, Daniele Dell’Aglio and Alessan-
dro Bozzon
Towards an Efficient Semantically Enriched Complex Event Processing
and Pattern Matching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
Syed Gillani, Gauthier Picard, Frederique Laforest and Antoine Zim-
mermann
Towards Efficient Processing of RDF Data Streams - Short Paper . . . . . . . 55
Alejandro Llaves, Javier D. Fernández and Oscar Corcho
vii
Program Committee
Alessandro Bozzon TU Delft
Jean-Paul Calbimonte École Polytechnique Fédérale de Lausanne
Peter Haase fluid Operations
Alejandro Llaves Universidad Politécnica de Madrid
Carsten Lutz University of Bremen
Alessandro Margara University of Lugano
Tomas Masopust TU Dresden
Jeff Z. Pan University of Aberdeen
Giuseppe Pirrò University of Koblenz-Landau
Steffen Staab University of Koblenz-Landau
Umberto Straccia ISTI-CNR
Anni-Yasmin Turhan TU Dresden
Guido Vetere IBM
Maria Esther Vidal Universidad Simon Bolivar
Haofen Wang East China University of Science and Technology
Kewen Wang Griffith University
Gerhard Weikum Max Planck Institute for Informatics
Zhe Wu Oracle
viii