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        <div class="">****************** The 17th IEEE International
          Conference on Advanced Learning Technologies -
          ICALT2017 **************************************************</div>
        <div class=""><br class="">
          <b class="">DESCRIPTION</b>
          <div class="">New trends in technologies, such as data
            analytics, cloud computing, maker spaces, 3-D printing,
            wearable technologies, augmented reality
            and intelligent systems are just a few examples of
            technologies investigated for their potential to transform
            teaching, learning and assessment both in
            formal education (at all levels) and informal learning.<br
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            <br class="">
            ICALT is an annual international conference on Advanced
            Learning Technologies and Technology-enhanced
            Learning organized by IEEE Computer Society and IEEE
            Technical Committee on Learning Technology. After its
            kick-off as IWALT in Palmerston North, New Zealand (2000),
            ICALT has been held in Madison, USA (2001), Kazan, Russia
            (2002), Athens, Greece (2003), Joensuu, Finland (2004),
            Kaohsiung, Taiwan (2005), Kerkade, The Netherlands (2006),
            Niigata, Japan (2007), Santander, Spain (2008), Riga, Latvia
            (2009), Sousse, Tunisia (2010), Athens, Georgia, USA (2011),
            Rome, Italy (2012), Beijing, China (2013), Athens, Greece
            (2014), Hualien, Taiwan (2015) and Austin, Texas, USA
            (2016).<br class="">
            <br class="">
            The 17th IEEE International Conference on Advanced Learning
            Technologies (ICALT2017) will be held in Timisoara, Romania,
            European Union between 3 – 7 July, 2017. The Politehnica
            University of Timisoara, Romania will host the event.<br
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            <b class="">WEB SITE</b><br class="">
            <a moz-do-not-send="true"
              href="http://icalt.elearning.upt.ro/" class="">http://icalt.elearning.upt.ro/</a>
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            <div class=""><b class="">Track 17. Applications of Semantic
                Web technologies for Learning (SW-EL@ICALT2017)</b><br
                class="">
              It is well known that the application of the Semantic
              Web technologies provides several advantages like
              interoperability, integration and reuse. With respect to
              human learning and education, Semantic Web Technologies
              have been used for modeling various aspects of the
              learning experience, including content, metadata, learning
              design, pedagogical strategies, feedback, hints and
              learner profiles. By enabling automatic reasoning over
              such models, Semantic Web provides the grounds for the
              improvement of learning experiences from
              different viewpoints, such as adaptation
              and personalization, interoperability among systems,
              quality of search and recommender engines, etc.
              In addition, such technologies can be also adopted for
              Service-based Architectures to support service annotation,
              discovery, integration and coordination and for reasoning
              and collaboration among Intelligent Agents. Moreover, new
              applications of Semantic Web for Education are envisioned
              with respect to Seamless Learning and
              Context-aware Learning. In Seamless Learning, alignment
              and continuity of several, often heterogeneous forms of
              learning (formal in the classroom, informal in the city,
              etc.) are fundamental characteristics. In these
              scenarios, mechanisms, enabled by Semantic Web, like
              Open Badges could be employed.<br class="">
              <br class="">
              Furthermore, in Context-aware Learning, new technologies
              like Augmented Reality can increase engagement and enable
              learners to construct broader understandings. In this case
              the glue among physical and digital worlds can be
              sustained also by the application of Semantic Web
              technologies.<br class="">
              <br class="">
              Papers in this track addressing the following and other
              topics are encouraged:<br class="">
              <br class="">
              <span class="Apple-tab-span" style="white-space:pre">   </span>• Semantic
              Web technologies to adapt and personalize the learning
              experience based on augmented reality<br class="">
              <span class="Apple-tab-span" style="white-space:pre">   </span>• Applications
              of Semantic Web technologies in Seamless learning
              for aligning activities (in different settings, with
              different devices, etc.) and handle continuity<br class="">
              <span class="Apple-tab-span" style="white-space:pre">   </span>• Building
              Intelligent Tutoring Systems by using Semantic Web
              technologies<br class="">
              <span class="Apple-tab-span" style="white-space:pre">   </span>• Embedding
              Intelligent Tutoring Systems in toys by means of Semantic
              Web technologies<br class="">
              <span class="Apple-tab-span" style="white-space:pre">   </span>• Using
              Semantic Web technologies in distributed architectures for
              Smart Environments (Smart City, Smart Classroom, etc.)<br
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              <span class="Apple-tab-span" style="white-space:pre">   </span>• Semantic
              Web languages and their formal extensions to build
              pedagogical models<br class="">
              <span class="Apple-tab-span" style="white-space:pre">   </span>• Applying
              machine (deep) learning approaches to build and/or refine
              Semantic Web models and rules<br class="">
              <span class="Apple-tab-span" style="white-space:pre">   </span>• Semantic
              Stream Processing to support human learning in the Smart
              City<br class="">
              <span class="Apple-tab-span" style="white-space:pre">   </span>• Uncertainty
              representation and reasoning in Semantic Web-based
              Applications for Human Learning<br class="">
              <br class="">
              <br class="">
              <b class="">***  Track 17 Program Committee</b><br
                class="">
              <br class="">
              Ig Ibert Bittencourt [Track Program Chair], Universidade
              Federal de Alagoas, Brazil</div>
            <div class=""><br class="">
              Fernando Bobillo [Track Program Chair], Universidad de
              Zaragoza, Spain</div>
            <div class=""><br class="">
              Giuseppe Fenza [Track Program Chair], University of
              Salerno, Italy</div>
            <div class=""><br class="">
              Angelo Gaeta, University of Salerno, Italy<br class="">
              <br class="">
              Tatiana Gavrilova, St. Petersburg  University, Russia<br
                class="">
              <br class="">
              Jelena Jovanovic [Track Program Chair], University of
              Belgrade, Serbia</div>
            <div class=""><br class="">
              Sergio Miranda [Track Program Chair], University of
              Salerno, Italy</div>
            <div class=""><br class="">
              Francesco Orciuoli [Track Program Organizer], University
              of Salerno, Italy<br class="">
              <br class="">
              Giuseppe D’Aniello, University of Salerno, Italy<br
                class="">
              <br class="">
              Carmen De Maio, University of Salerno, Italy<br class="">
              <br class="">
              Sabrina Senatore, University of Salerno, Italy<br class="">
              <br class="">
              <br class="">
              <b class="">*** Important Dates </b><br class="">
              <div class=""><br class="">
              </div>
              <div class="">January 20, 2017: Submissions of papers
                (Full paper, Short paper, Poster)<br class="">
              </div>
              <div class="">March 15, 2017: Authors’ Notification on the
                review process results<br class="">
              </div>
              <div class="">May 2, 2017: Authors’ Registration Deadline<br
                  class="">
              </div>
              <div class="">May 2, 2017: Final Camera-Ready Manuscript
                and IEEE Copyright Form submission<br class="">
              </div>
              <div class="">May 16, 2017: Early Bird Registration<br
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              </div>
              <div class="">July 3-7, 2017: ICALT2017 Conference<br
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              </div>
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              </div>
              <b class="">*** Track 17 Web Site</b></div>
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                class="">http://icalt.elearning.upt.ro/?page_id=3630</a></div>
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