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IJSWIS Special Issue on Scalability and Performance of Semantic Web Systems

From: Martin Hepp (UniBW) <martin.hepp@ebusiness-unibw.org>
Date: Wed, 15 Jul 2009 09:57:33 +0200
Message-ID: <4A5D8BED.70407@ebusiness-unibw.org>
To: "public-lod@w3.org" <public-lod@w3.org>
(apologies for cross-posting)
Dear all:

We are pleased to announce the latest issue of IJSWIS, which is a
special issue on "Scalability and Performance of Semantic Web Systems"

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

The contents of the latest issue of:

International Journal on Semantic Web and Information Systems (IJSWIS)
Volume 5, Issue 2, April-July 2009
Published: Quarterly in Print and Electronically
ISSN: 1552-6283 EISSN: 1552-6291
www.ijswis.org
www.igi-global.com/ijswis

Editor-in-Chief: Amit Sheth, Kno.e.sis Center, Wright State  University, USA
Associate Editors:
Martin Hepp, Bundeswehr University Munich, Germany
Gottfried Vossen, University of Muenster, Germany

Impact factor of this journal: 1.8

GUEST EDITORIAL PREFACE

JSWIS 5(2)

Vassilis Christophides, Institute of Computer Science Foundation for
Research, Greece
Jeff Heflin, Lehigh University, USA

Recently, the W3C Linking Open Data effort has boosted the publication
and interlinkage of larger amounts of RDF/S datasets on the Semantic
Web (SW). Various ontologies and knowledge bases with millions of RDF/
S triplets from Wikipedia and other sources have been created and are
available online. It is clear that the increasing number and size of
the available SW datasets presents a real challenge for Semantic Web
systems in order to cope with scalability and performance concerns. In
this special issue, four articles cover a wide range of techniques for
benchmarking or enhancing the scalability of Semantic Web systems. The
authors build systems that process terabytes of data, have response
times on the order of seconds or less, and rely on reasoning to solve
problems not easily solved before.

To read the guest editorial preface, please consult this issue of
IJSWIS in your library.

PAPER ONE

The Berlin SPARQL Benchmark

Christian Bizer, Freie Universität Berlin, Germany
Andreas Schultz, Freie Universität Berlin, Germany

The SPARQL Query Language for RDF and the SPARQL Protocol for RDF are
implemented by a growing number of storage systems and used within
enterprise and open Web settings. As SPARQL is taken by the community,
there is a growing need for benchmarks to compare the performance of
storage systems that expose SPARQL endpoints via the SPARQL protocol.
Such systems include native RDF stores as well as systems that rewrite
SPARQL queries to SQL queries against non-RDF relational databases.
This article introduces the Berlin SPARQL Benchmark (BSBM) for
comparing the performance of native RDF stores with the performance of
SPARQL-to-SQL rewriters across architectures. This article discusses
the design of the BSBM benchmark and presents the results of a
benchmark experiment comparing the performance of four popular RDF
stores with the performance of two SPARQL-to-SQL rewriters as well as
the performance of two relational database management systems.

To obtain a copy of the entire article, click on the link below.
http://infosci-on-demand.com/content/details.asp?ID=33737

PAPER TWO

Learning of OWL Class Descriptions on Very Large Knowledge Bases

Sebastian Hellmann, Universität Leipzig, Germany
Jens Lehmann, Universität Leipzig, Germany
Sören Auer, Universität Leipzig, Germany

The vision of the Semantic Web is to make use of semantic
representations on the largest possible scale - the Web. Large
knowledge bases such as DBpedia, OpenCyc, GovTrack, and others are
emerging and are freely available as linked data and SPARQL endpoints.
Exploring and analysing such knowledge bases is a significant hurdle
for Semantic Web research and practice. As one possible direction for
tackling this problem, the authors present an approach for obtaining
complex class descriptions from objects in knowledge bases by using
machine learning techniques. They describe in detail how to leverage
existing techniques to achieve scalability on large knowledge bases
available as SPARQL endpoints or linked data.

To obtain a copy of the entire article, click on the link below.
http://infosci-on-demand.com/content/details.asp?ID=33738

PAPER THREE

Scalable Authoritative OWL Reasoning for the Web

Aidan Hogan, National University of Ireland, Ireland
Andreas Harth, National University of Ireland, Ireland
Axel Polleres, National University of Ireland, Ireland

In this article, the authors discuss the challenges of performing
reasoning on large scale RDF datasets from the Web. Using ter-Horst’s
pD* fragment of OWL as a base, the authors compose a rule-based
framework for application to Web data; they argue their decisions
using observations of undesirable examples taken directly from the
Web. The authors further temper their OWL fragment through
consideration of “authoritative stheirces,” which counter-acts an
observed behavitheir which we term “ontology hijacking”. This article
presents a system for performing rule-based forward-chaining reasoning
which they call SAOR (scalable authoritative OWL reasoned). Based upon
observed characteristics of Web data and reasoning in general, the
authors design their system to scale. The authors evaluate their
methods on a dataset in the order of a hundred million statements
collected from real-world Web stheirces and present scale-up
experiments on a dataset in the order of a billion statements
collected from the Web.

To obtain a copy of the entire article, click on the link below.
http://infosci-on-demand.com/content/details.asp?ID=33739

PAPER FOUR

Enabling Scalable Semantic Reasoning for Mobile Services

Luke Albert Steller, Monash University, Australia
Shonali Krishnaswamy, Monash University, Australia
Mohamed Methat Gaber, Monash University, Australia

With the emergence of high-end smart phones/PDAs there is a growing
opportunity to enrich mobile/pervasive services with semantic
reasoning. This article presents novel strategies for optimising
semantic reasoning for realizing semantic applications and services on
mobile devices. The authors develop the mTableaux algorithm, which
optimizes the reasoning process to facilitate service selection. This
article presents comparative experimental results on the performance
and scalability of semantic reasoning for mobile devices.

To obtain a copy of the entire article, click on the link below.
http://infosci-on-demand.com/content/details.asp?ID=33740

***********************************************
For full copies of the above articles, check for this issue of the
International Journal on Semantic Web and Information Systems (IJSWIS)
your institution's library.  This journal is also included in the IGI
Global aggregated "InfoSci-Journals" database: www.infosci-journals.com.
*************************************




--------------------------------------------------------------

martin hepp
e-business & web science research group
universitaet der bundeswehr muenchen

e-mail:  mhepp@computer.org
phone:   +49-(0)89-6004-4217
fax:     +49-(0)89-6004-4620
www:     http://www.unibw.de/ebusiness/ (group)
           http://www.heppnetz.de/ (personal)
skype:   mfhepp
twitter: mfhepp

Check out the GoodRelations vocabulary for E-Commerce on the Web of Data!
========================================================================

Webcast:
http://www.heppnetz.de/projects/goodrelations/webcast/

Talk at the Semantic Technology Conference 2009:
"Semantic Web-based E-Commerce: The GoodRelations Ontology"
http://tinyurl.com/semtech-hepp

Tool for registering your business:
http://www.ebusiness-unibw.org/tools/goodrelations-annotator/

Overview article on Semantic Universe:
http://tinyurl.com/goodrelations-universe

Project page and resources for developers:
http://purl.org/goodrelations/

Tutorial materials:
Tutorial at ESWC 2009: The Web of Data for E-Commerce in One Day: A
Hands-on Introduction to the GoodRelations Ontology, RDFa, and Yahoo!
SearchMonkey

http://www.ebusiness-unibw.org/wiki/GoodRelations_Tutorial_ESWC2009







-- 
--------------------------------------------------------------
martin hepp
e-business & web science research group
universitaet der bundeswehr muenchen

e-mail:  mhepp@computer.org
phone:   +49-(0)89-6004-4217
fax:     +49-(0)89-6004-4620
www:     http://www.unibw.de/ebusiness/ (group)
          http://www.heppnetz.de/ (personal)
skype:   mfhepp
twitter: mfhepp

Check out the GoodRelations vocabulary for E-Commerce on the Web of Data!
========================================================================

Webcast:
http://www.heppnetz.de/projects/goodrelations/webcast/

Talk at the Semantic Technology Conference 2009:
"Semantic Web-based E-Commerce: The GoodRelations Ontology"
http://tinyurl.com/semtech-hepp

Tool for registering your business:
http://www.ebusiness-unibw.org/tools/goodrelations-annotator/

Overview article on Semantic Universe:
http://tinyurl.com/goodrelations-universe

Project page and resources for developers:
http://purl.org/goodrelations/

Tutorial materials:
Tutorial at ESWC 2009: The Web of Data for E-Commerce in One Day: A 
Hands-on Introduction to the GoodRelations Ontology, RDFa, and Yahoo! 
SearchMonkey

http://www.ebusiness-unibw.org/wiki/GoodRelations_Tutorial_ESWC2009




Received on Wednesday, 15 July 2009 07:58:34 UTC

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