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background-color: rgb(255, 255, 255);"><b>Extended Deadline
November 20, 2015<br>
<br>
CFP: Semantic Web Journal - Special Issue on Quality Management
of Semantic Web Assets (Data, Services and Systems):</b> <font
color="#000000"><a class="moz-txt-link-freetext"
href="http://www.semantic">http://www.semantic</a>-<wbr>web-journal.net/blog/call-pape<wbr>rs-special-issue-quality-manag<wbr>ement-semantic-web-assets-<wbr>data-services-and-systems</font></div>
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<h2 style="margin: 0px 0px 0.5em; padding: 0px; line-height:
18.2px;"><font face="arial, helvetica, sans-serif" size="2">Submission
guidelines</font></h2>
<p style="margin: 0.5em 0px; padding: 0px; line-height: 18.2px;"><b><font
face="arial, helvetica, sans-serif">Deadline:<span> </span><strike><span
style="border-bottom-width: 1px; border-bottom-style:
dashed; border-bottom-color: rgb(204, 204, 204);"><span>October
31, 2015</span></span></strike></font></b> > <b>November
20, 2015</b><b><font face="arial, helvetica, sans-serif"><strike><span
style="border-bottom-width: 1px; border-bottom-style:
dashed; border-bottom-color: rgb(204, 204, 204);"><span><br>
</span></span></strike></font></b></p>
<p style="margin: 0.5em 0px; padding: 0px; line-height: 18.2px;"><font
face="arial, helvetica, sans-serif">Submissions shall be made
through the Semantic Web journal website at <a
class="moz-txt-link-freetext"
href="http://www.semantic-web-jou"><a class="moz-txt-link-freetext" href="http://www.semantic-web-jou">http://www.semantic-web-jou</a></a><wbr>rnal.net.
Prospective authors must take notice of the submission
guidelines posted at <a class="moz-txt-link-freetext"
href="http://www.semantic-web-jou">http://www.semantic-web-jou</a><wbr>rnal.net/authors.
Note that you need to request an account on the website for
submitting a paper. Please indicate in the cover letter that
it is for the Special Issue on Quality Management of Semantic
Web Assets (Data, Services and Systems).</font></p>
<p style="margin: 0.5em 0px; padding: 0px; line-height: 18.2px;"><font
face="arial, helvetica, sans-serif">Submissions are possible
in the following categories: full research papers, application
reports, reports on tools and systems, and case studies. While
there is no upper limit, paper length must be justified by
content.</font></p>
<span>
<h2 style="margin: 0px 0px 0.5em; padding: 0px; line-height:
18.2px;"><font face="arial, helvetica, sans-serif" size="2">Guest
editors</font></h2>
<ul style="margin: 0px 0px 1.5em 2em; padding: 0px; line-height:
18.2px;">
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Amrapali Zaveri,
University of Leipzig, AKSW Group, Germany</font></li>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Dimitris Kontokostas,
University of Leipzig, AKSW Group, Germany</font></li>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Sebastian Hellmann,
University of Leipzig, AKSW Group, Germany</font></li>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Jürgen Umbrich, Vienna
University of Economics and Business, Austria</font></li>
</ul>
</span></div>
<div class="gmail_extra" style="color: rgb(34, 34, 34); font-family:
arial, sans-serif; font-size: 12.8px; font-style: normal;
font-variant: normal; font-weight: normal; letter-spacing: normal;
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background-color: rgb(255, 255, 255);"><b>Overview and Topics</b></div>
<div class="gmail_extra" style="color: rgb(34, 34, 34); font-family:
arial, sans-serif; font-size: 12.8px; font-style: normal;
font-variant: normal; font-weight: normal; letter-spacing: normal;
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</div>
<div class="gmail_extra" style="color: rgb(34, 34, 34); font-family:
arial, sans-serif; font-size: 12.8px; font-style: normal;
font-variant: normal; font-weight: normal; letter-spacing: normal;
line-height: normal; orphans: auto; text-align: start;
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background-color: rgb(255, 255, 255);"><span>
<p style="margin: 0.5em 0px; padding: 0px; line-height: 18.2px;"><font
face="arial, helvetica, sans-serif">The standardization and
adoption of Semantic Web technologies has resulted in a
variety of assets, including an unprecedented volume of data
being semantically enriched and systems and services, which
consume or publish this data. Although gathering, processing
and publishing data is a step towards further adoption of
Semantic Web, quality does not yet play a central role in
these assets (e.g., data lifecycle, system/service
development).</font></p>
<p style="margin: 0.5em 0px; padding: 0px; line-height: 18.2px;"><font
face="arial, helvetica, sans-serif">Quality management
essentially refers to activities and tasks involved to
guarantee a certain level of consistency and to meet the
quality requirements for the assets. In general, quality
management consists of the following four phases and
components: (i) quality planning, (ii) quality control,
(iii) quality assurance and (iv) quality improvement.</font></p>
<p style="margin: 0.5em 0px; padding: 0px; line-height: 18.2px;"><font
face="arial, helvetica, sans-serif">The quality planning
phase in the Semantic Web typically involves the design of
procedures, strategies and policies to support the
management of the assets. The quality control and assurance
components have their primary aim in preventing errors and
to meet quality requirements pertaining to the Semantic Web
standards. A core part for both components are quality
assessment methods which provide the necessary input for the
controlling and assurance tasks.</font></p>
<p style="margin: 0.5em 0px; padding: 0px; line-height: 18.2px;"><font
face="arial, helvetica, sans-serif">Quality assessment of
Semantic Web Assets (data, services and systems), in
particular, presents new challenges that were not handled
before in other research areas. Thus, adopting existing
approaches for data quality assessment is not a
straightforward solution. These challenges are related to
the openness of the Semantic Web, the diversity of the
information and the unbounded, dynamic set of autonomous
data sources, publishers and consumers (legal and software
agents). Additionally, detecting the quality of available
data sources and making the information explicit is yet
another challenge. Moreover, noise in one data set, or
missing links between different data sets, propagates
throughout the Web of Data, and imposes great challenges on
the data value chain.</font></p>
<p style="margin: 0.5em 0px; padding: 0px; line-height: 18.2px;"><font
face="arial, helvetica, sans-serif">In case of systems and
services, different implementations follow the
specifications for RDF and SPARQL to varying extents, or
even propose and offer new, non-standardized extensions.
This causes strong incompatibilities between systems, e.g.,
between the used SPARQL features in the query engines and
support features in RDF stores. The potential heterogeneity
and incompatibility poses several challenges for the quality
assessments in and for such systems and services.</font></p>
<p style="margin: 0.5em 0px; padding: 0px; line-height: 18.2px;"><font
face="arial, helvetica, sans-serif">Eventually, quality
improvement methods are used to further enhance the value of
the Semantic Web Assets. One important step to improve the
quality of data is identifying the root cause of the problem
and then designing corresponding data improvement solutions.
These solutions select the most effective and efficient
strategies and related set of techniques and tools to
improve quality. Quality improvement metrics for products
and services entails understanding and improving operational
processes and establishing valid and reliable service
performance measures.</font></p>
<p style="margin: 0.5em 0px; padding: 0px; line-height: 18.2px;"><font
face="arial, helvetica, sans-serif">This Special Issue is
addressed to those members of the community interested in
providing novel methodologies or frameworks in managing,
assessing, monitoring, maintaining and improving the quality
of the Semantic Web data, services and systems and also
introduce tools and user interfaces which can effectively
assist in this management.</font></p>
<h2 style="margin: 0px 0px 0.5em; padding: 0px; line-height:
18.2px;"><font face="arial, helvetica, sans-serif" size="2">Topics
of Interest</font></h2>
<p style="margin: 0.5em 0px; padding: 0px; line-height: 18.2px;"><font
face="arial, helvetica, sans-serif">We welcome original high
quality submissions on (but are not restricted to) the
following topics:</font></p>
</span>
<ul style="margin: 0px 0px 1.5em 2em; padding: 0px; line-height:
18.2px;">
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Methodologies and
frameworks to plan, control, assure or improve the quality
of Semantic Web Assets</font></li>
<span>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Quality exploration
and analysis interfaces</font></li>
</span>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Quality monitoring</font></li>
<span>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Developing, deploying
and managing quality service ecosystems</font></li>
</span><span>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Assessing the quality
evolution of Semantic Web Assets</font></li>
</span><span>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Large-scale quality
assessment of structured datasets</font></li>
</span>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Crowdsourcing data
quality assessment</font></li>
<span>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Quality assessment
leveraging background knowledge</font></li>
</span>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Use-case driven quality
management</font></li>
<span>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Evaluation of
trustworthiness of data</font></li>
</span><span>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Web Data and LOD
quality benchmarks</font></li>
</span>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Data Quality improvement
methods and frameworks, e.g., linkage, alignment, cleaning,
enrichment, correctness</font></li>
<span>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Service/system quality
improvement methods and frameworks</font></li>
</span><span>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Managing
sustainability issues in services</font></li>
</span><span>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Guarantee of service
(availability, performance)</font></li>
</span><span>
<li style="margin: 0px; padding: 0px; line-height: 19.5px;"><font
face="arial, helvetica, sans-serif">Systems for
transparent management of open data</font></li>
</span>
</ul>
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