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<p style="margin:0in;font-family:Calibri;font-size:11pt">Dear colleagues,</p>
<p style="margin:0in;font-family:Calibri;font-size:11pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11pt">we are glad to announce evOWLuator v. 0.1.1, a cross-platform, energy-aware evaluation framework for OWL reasoners, developed by SisInf Lab at the Polytechnic University of Bari, and distributed under
the Eclipse Public License (EPL) v. 2.0.</p>
<ul style="margin-left:0.375in;direction:ltr;unicode-bidi:embed;margin-top:0in;margin-bottom:0in" type="disc">
<li style="margin-top:0px;margin-bottom:0px;vertical-align:middle"><span style="font-family:Calibri;font-size:11pt">Github repository:
</span><a href="https://github.com/sisinflab-swot/evowluator" target="_blank"><span style="font-family:Calibri;font-size:11pt">https://github.com/sisinflab-swot/evowluator</span></a></li><li style="margin-top:0px;margin-bottom:0px;vertical-align:middle"><span style="font-family:Calibri;font-size:11pt">Documentation:
</span><a href="http://sisinflab.poliba.it/swottools/evowluator/" target="_blank"><span style="font-family:Calibri;font-size:11pt">http://sisinflab.poliba.it/swottools/evowluator/</span></a></li></ul>
<p style="margin:0in;font-family:Calibri;font-size:11pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11pt">Main features:</p>
<ul style="margin-left:0.375in;direction:ltr;unicode-bidi:embed;margin-top:0in;margin-bottom:0in" type="disc">
<li style="margin-top:0px;margin-bottom:0px;vertical-align:middle"><span style="font-family:Calibri;font-size:11pt">out-of-the-box support for Linux, macOS, Windows (through the Windows Subsystem for Linux), Android and iOS;</span></li><li style="margin-top:0px;margin-bottom:0px;vertical-align:middle"><span style="font-family:Calibri;font-size:11pt">support for ontology classification, consistency and matchmaking [1] reasoning tasks;</span></li><li style="margin-top:0px;margin-bottom:0px;vertical-align:middle"><span style="font-family:Calibri;font-size:11pt">three evaluation modes:</span></li><ul style="margin-left:0.375in;direction:ltr;unicode-bidi:embed;margin-top:0in;margin-bottom:0in" type="circle">
<li style="margin-top:0px;margin-bottom:0px;vertical-align:middle"><span style="font-family:Calibri;font-size:11pt">correctness;</span></li><li style="margin-top:0px;margin-bottom:0px;vertical-align:middle"><span style="font-family:Calibri;font-size:11pt">performance (time and peak memory usage);</span></li><li style="margin-top:0px;margin-bottom:0px;vertical-align:middle"><span style="font-family:Calibri;font-size:11pt">energy footprint (currently on macOS only)</span></li></ul>
<li style="margin-top:0px;margin-bottom:0px;vertical-align:middle"><span style="font-family:Calibri;font-size:11pt">result summaries in CSV format and customizable plots<br>
</span></li><li style="margin-top:0px;margin-bottom:0px;vertical-align:middle"><span style="font-family:Calibri;font-size:11pt">Python-based plug-in architecture to integrate new types of reasoners, support additional target platforms and interface with energy profilers.</span></li></ul>
<p style="margin:0in;font-family:Calibri;font-size:11pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11pt">We look forward to hearing about your experiences with evOWLuator and your suggestions, bug reports and feature requests. And please don't hesitate to contact us if you want to work with us on evOWLuator
or related ideas.</p>
<p style="margin:0in;font-family:Calibri;font-size:11pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11pt">Best regards,</p>
<p style="margin:0in;font-family:Calibri;font-size:11pt">the SisInf Lab SWoT (Information Systems Laboratory - Semantic Web of Things) team</p>
<p style="margin:0in;font-family:Calibri;font-size:11pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11pt">[1] Scioscia, F., Ruta, M., Loseto, G., Gramegna, F., Ieva, S., Pinto, A., Di Sciascio, E.: Mini-ME matchmaker and reasoner for the Semantic Web of Things. In: Innovations, Developments, and Applications
of Semantic Web and Information Systems, pp. 262--294. IGI Global (2018)</p>
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