PUMA publications for /author/Satoshi%20Nakamurahttps://puma.uni-kassel.de/author/Satoshi%20NakamuraPUMA RSS feed for /author/Satoshi%20Nakamura2024-03-28T21:38:14+01:00Can social bookmarking enhance search in the web?https://puma.uni-kassel.de/bibtex/244655301162a726dfb242d32ec622047/benzbenz2011-02-04T16:10:14+01:00social_bookmarking folksonomy logsonomy search <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Yusuke Yanbe" itemprop="url" href="/author/Yusuke%20Yanbe"><span itemprop="name">Y. Yanbe</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Adam Jatowt" itemprop="url" href="/author/Adam%20Jatowt"><span itemprop="name">A. Jatowt</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Satoshi Nakamura" itemprop="url" href="/author/Satoshi%20Nakamura"><span itemprop="name">S. Nakamura</span></a></span>, and <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Katsumi Tanaka" itemprop="url" href="/author/Katsumi%20Tanaka"><span itemprop="name">K. Tanaka</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">JCDL '07: Proceedings of the 2007 conference on Digital libraries</span>, </em></span><em>page <span itemprop="pagination">107--116</span>. </em><em>New York, NY, USA, </em><em><span itemprop="publisher">ACM Press</span>, </em>(<em><span>2007<meta content="2007" itemprop="datePublished"/></span></em>)Fri Feb 04 16:10:14 CET 2011New York, NY, USAJCDL '07: Proceedings of the 2007 conference on Digital libraries107--116Can social bookmarking enhance search in the web?2007social_bookmarking folksonomy logsonomy search Can social bookmarking enhance search in the web?Can social bookmarking enhance search in the web?https://puma.uni-kassel.de/bibtex/29e3f8071d757c492055744cf03ff4a55/jaeschkejaeschke2010-08-12T16:38:52+02:00tagging sentiment collaborative folksonomy search web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Yusuke Yanbe" itemprop="url" href="/author/Yusuke%20Yanbe"><span itemprop="name">Y. Yanbe</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Adam Jatowt" itemprop="url" href="/author/Adam%20Jatowt"><span itemprop="name">A. Jatowt</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Satoshi Nakamura" itemprop="url" href="/author/Satoshi%20Nakamura"><span itemprop="name">S. Nakamura</span></a></span>, and <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Katsumi Tanaka" itemprop="url" href="/author/Katsumi%20Tanaka"><span itemprop="name">K. Tanaka</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">JCDL '07: Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries</span>, </em></span><em>page <span itemprop="pagination">107--116</span>. </em><em>New York, NY, USA, </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2007<meta content="2007" itemprop="datePublished"/></span></em>)Thu Aug 12 16:38:52 CEST 2010New York, NY, USAJCDL '07: Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries107--116Can social bookmarking enhance search in the web?2007tagging sentiment collaborative folksonomy search web Social bookmarking is an emerging type of a Web service that helps users share, classify, and discover interesting resources. In this paper, we explore the concept of an enhanced search, in which data from social bookmarking systems is exploited for enhancing search in the Web. We propose combining the widely used link-based ranking metric with the one derived using social bookmarking data. First, this increases the precision of a standard link-based search by incorporating popularity estimates from aggregated data of bookmarking users. Second, it provides an opportunity for extending the search capabilities of existing search engines. Individual contributions of bookmarking users as well as the general statistics of their activities are used here for a new kind of a complex search where contextual, temporal or sentiment-related information is used. We investigate the usefulness of social bookmarking systems for the purpose of enhancing Web search through a series of experiments done on datasets obtained from social bookmarking systems. Next, we show the prototype system that implements the proposed approach and we present some preliminary results.Can social bookmarking enhance search in the web?https://puma.uni-kassel.de/bibtex/2d896ae22bc7b52edefbfb9cdb373cf83/hothohotho2010-03-20T21:09:42+01:00tagging taggingsurvey folksonomy bookmarking search toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Yusuke Yanbe" itemprop="url" href="/author/Yusuke%20Yanbe"><span itemprop="name">Y. Yanbe</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Adam Jatowt" itemprop="url" href="/author/Adam%20Jatowt"><span itemprop="name">A. Jatowt</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Satoshi Nakamura" itemprop="url" href="/author/Satoshi%20Nakamura"><span itemprop="name">S. Nakamura</span></a></span>, and <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Katsumi Tanaka" itemprop="url" href="/author/Katsumi%20Tanaka"><span itemprop="name">K. Tanaka</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">JCDL '07: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries</span>, </em></span><em>page <span itemprop="pagination">107--116</span>. </em><em>New York, NY, USA, </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2007<meta content="2007" itemprop="datePublished"/></span></em>)Sat Mar 20 21:09:42 CET 2010New York, NY, USAJCDL '07: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries107--116Can social bookmarking enhance search in the web?2007tagging taggingsurvey folksonomy bookmarking search toread Social bookmarking is an emerging type of a Web service that helps users share, classify, and discover interesting resources. In this paper, we explore the concept of an enhanced search, in which data from social bookmarking systems is exploited for enhancing search in the Web. We propose combining the widely used link-based ranking metric with the one derived using social bookmarking data. First, this increases the precision of a standard link-based search by incorporating popularity estimates from aggregated data of bookmarking users. Second, it provides an opportunity for extending the search capabilities of existing search engines. Individual contributions of bookmarking users as well as the general statistics of their activities are used here for a new kind of a complex search where contextual, temporal or sentiment-related information is used. We investigate the usefulness of social bookmarking systems for the purpose of enhancing Web search through a series of experiments done on datasets obtained from social bookmarking systems. Next, we show the prototype system that implements the proposed approach and we present some preliminary results.Can social bookmarking enhance search in the web?