PUMA publications for /user/hotho/groundinghttps://puma.uni-kassel.de/user/hotho/groundingPUMA RSS feed for /user/hotho/grounding2024-03-29T02:49:21+01:00Semantic Grounding of Tag Relatedness in Social Bookmarking Systemshttps://puma.uni-kassel.de/bibtex/24752f261d03cead0c52565148a0ba1c9/hothohotho2011-02-16T16:31:56+01:002008 folksonomy grounding iswc2008 myown semantic sw tag tagging taggingsurvey webzu <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ciro Cattuto" itemprop="url" href="/author/Ciro%20Cattuto"><span itemprop="name">C. Cattuto</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dominik Benz" itemprop="url" href="/author/Dominik%20Benz"><span itemprop="name">D. Benz</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">The Semantic Web - ISWC 2008</span>, </em></span><em>Volume 5318 von Lecture Notes in Computer Science, </em><em>Seite <span itemprop="pagination">615--631</span>. </em><em><span itemprop="publisher">Springer Berlin / Heidelberg</span>, </em>(<em><span>2008<meta content="2008" itemprop="datePublished"/></span></em>)Wed Feb 16 16:31:56 CET 2011The Semantic Web - ISWC 2008615--631Lecture Notes in Computer ScienceSemantic Grounding of Tag Relatedness in Social Bookmarking Systems531820082008 folksonomy grounding iswc2008 myown semantic sw tag tagging taggingsurvey webzu Collaborative tagging systems have nowadays become important data sources for populating semantic web applications. For tasks like synonym detection and discovery of concept hierarchies, many researchers introduced measures of tag similarity. Eventhough most of these measures appear very natural, their design often seems to be rather ad hoc, and the underlying assumptionson the notion of similarity are not made explicit. A more systematic characterization and validation of tag similarity interms of formal representations of knowledge is still lacking. Here we address this issue and analyze several measures oftag similarity: Each measure is computed on data from the social bookmarking system del.icio.us and a semantic grounding isprovided by mapping pairs of similar tags in the folksonomy to pairs of synsets in Wordnet, where we use validated measuresof semantic distance to characterize the semantic relation between the mapped tags. This exposes important features of theinvestigated similarity measures and indicates which ones are better suited in the context of a given semantic application.SpringerLink - BuchkapitelSemantic feature production norms for a large set of living and nonliving thingshttps://puma.uni-kassel.de/bibtex/2936af12b025e37b0a6aac6bc103f58a3/hothohotho2008-05-08T12:17:01+02:00dataset grounding ol ontology relation semantic toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="K McRae" itemprop="url" href="/author/K%20McRae"><span itemprop="name">K. McRae</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="G S Cree" itemprop="url" href="/author/G%20S%20Cree"><span itemprop="name">G. Cree</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="M S Seidenberg" itemprop="url" href="/author/M%20S%20Seidenberg"><span itemprop="name">M. Seidenberg</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C McNorgan" itemprop="url" href="/author/C%20McNorgan"><span itemprop="name">C. McNorgan</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>Behav Res Methods</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">37 </span></span>(<span itemprop="issueNumber">4</span>):
<span itemprop="pagination">547-559</span></em> </span>(<em><span>November 2005<meta content="November 2005" itemprop="datePublished"/></span></em>)Thu May 08 12:17:01 CEST 2008Behav Res MethodsNov4547-559Semantic feature production norms for a large set of living and nonliving things372005dataset grounding ol ontology relation semantic toread Semantic features have provided insight into numerous behavioral phenomena concerning concepts, categorization, and semantic memory in adults, children, and neuropsychological populations. Numerous theories and models in these areas are based on representations and computations involving semantic features. Consequently, empirically derived semantic feature production norms have played, and continue to play, a highly useful role in these domains. This article describes a set of feature norms collected from approximately 725 participants for 541 living (dog) and nonliving (chair) basic-level concepts, the largest such set of norms developed to date. This article describes the norms and numerous statistics associated with them. Our aim is to make these norms available to facilitate other research, while obviating the need to repeat the labor-intensive methods involved in collecting and analyzing such norms. The full set of norms may be downloaded from www.psychonomic.org/archive.Semantic feature production norms for a large set ...[Behav Res Methods. 2005] - PubMed Result