http://www.bibsonomy.org/burst/user/pewu/webBibSonomy BuRST Feed for /user/pewu/web2008-07-21T01:21:24+02:00ScienceDirect - Web Semantics: Science, Services and Agents on the World Wide Web : Discovering shared conceptualizations in folksonomieshttp://www.bibsonomy.org/bibtex/263901930c137df0c2dad84075c564b14/pewupewu2008-04-23T10:27:36+02:00semantic web <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> and Bernhard <a href="http://www.bibsonomy.org/author/Ganter">Ganter</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Web Semantics: Science, Services and Agents on the World Wide Web</em><em>6(1):38--53</em><em>feb2008. </em>Wed Apr 23 10:27:36 CEST 2008Semantic Web and Web 2.0Web Semantics: Science, Services and Agents on the World Wide Webfeb138--53Discovering Shared Conceptualizations in Folksonomies62008semantic web Social bookmarking tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. Unlike ontologies, shared conceptualizations are not formalized, but rather implicit. We present a new data mining task, the mining of all frequent tri-concepts, together with an efficient algorithm, for discovering these implicit shared conceptualizations. Our approach extends the data mining task of discovering all closed itemsets to three-dimensional data structures to allow for mining folksonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution. Finally, we show the applicability of our approach on three large real-world examples.http://www.bibsonomy.org/bibtex/2a87a7c940a5236a9bba3e9e258660690/pewupewu2008-04-23T10:27:23+02:00semantic web <span style="color:#555555;">Enrico <a href="http://www.bibsonomy.org/author/Minack">Minack</a> and Leo <a href="http://www.bibsonomy.org/author/Sauermann">Sauermann</a> and Gunnar <a href="http://www.bibsonomy.org/author/Grimnes">Grimnes</a> and Christiaan <a href="http://www.bibsonomy.org/author/Fluit">Fluit</a> and Jeen <a href="http://www.bibsonomy.org/author/Broekstra">Broekstra</a> </span><em>Technical Report, </em><em>2008-1. </em><em>NEPOMUK Consortium, </em><em>February2008. </em>Wed Apr 23 10:27:23 CEST 2008February2008-1The Sesame Lucene Sail: RDF Queries with Full-text SearchTechnical Report2008semantic web With the growth of the Semantic Web, the requirements on storing and querying RDF has become more sophisticated. When a larger amount of data has to be managed, queries in structured query languages, such as SPARQL, are not always powerful enough. Use of additional keywords for querying can further reduce the result set towards the actual relevant answers, however, SPARQL only provides complete string matching or filtering based on regular expressions, which is a very slow operation. In contrast, state of the art Information Retrieval (IR) techniques provide sophisticated features such as keyword search, lemmatisation, stemming and ranking. In this paper we present a combination of structured RDF queries and full-text search. It is implemented as an extension of an established RDF store (Sesame) with IR capabilities using the text search library Lucene, without requiring modifications to existing RDF query languages. http://www.bibsonomy.org/bibtex/2bfc43dfe59f9c0935ac3364b12e6d795/pewupewu2008-04-23T10:27:05+02:00semantic web <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> and Leandro <a href="http://www.bibsonomy.org/author/Marinho">Marinho</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Lars <a href="http://www.bibsonomy.org/author/Schmidt-Thieme">Schmidt-Thieme</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivit&#228;t (LWA 2007), </em><em>page13-20. </em><em>Martin-Luther-Universit&#228;t Halle-Wittenberg, </em><em>sep2007. </em>Wed Apr 23 10:27:05 CEST 2008Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)sep13-20Tag Recommendations in Folksonomies2007semantic web Collaborative tagging systems allow users to assign keywords—so called “tags”—to resources. Tags are used for navigation, finding resources and serendipitous browsing and thus provide an immediate benefit for users. These systems usually include tag recommendation mechanisms easing the process of finding good tags for a resource, but also consolidating the tag vocabulary across users. In practice, however, only very basic recommendation strategies are applied. In this paper we present two tag recommendation algorithms: an adaptation of user-based collaborative filtering and a graph-based recommender built on top of FolkRank, an adaptation of the well-known PageRank algorithm that can cope with undirected triadic hyperedges. We evaluate and compare both algorithms on large-scale real life datasets and show that both provide better results than non-personalized baseline methods. Especially the graph-based recommender outperforms existing methods considerably.iknow2007 publicationshttp://www.bibsonomy.org/bibtex/208ed8fb18d3b899aa555ba5028287c4f/pewupewu2008-04-23T10:26:49+02:00semantic web <span style="color:#555555;">Tudor <a href="http://www.bibsonomy.org/author/Groza">Groza</a> and Siegfried <a href="http://www.bibsonomy.org/author/Handschuh">Handschuh</a> and Knud <a href="http://www.bibsonomy.org/author/Moeller">Moeller</a> and Gunnar <a href="http://www.bibsonomy.org/author/Grimnes">Grimnes</a> and Leo <a href="http://www.bibsonomy.org/author/Sauermann">Sauermann</a> and Enrico <a href="http://www.bibsonomy.org/author/Minack">Minack</a> and Cedric <a href="http://www.bibsonomy.org/author/Mesnage">Mesnage</a> and Mehdi <a href="http://www.bibsonomy.org/author/Jazayeri">Jazayeri</a> and Gerald <a href="http://www.bibsonomy.org/author/Reif">Reif</a> and Rosa <a href="http://www.bibsonomy.org/author/Gudjonsdottir">Gudjonsdottir</a> </span><em>Proceedings of I-Semantics' 07, </em><em>pagepp. 201-211. </em><em>JUCS, </em>(<em>2007</em>)Wed Apr 23 10:26:49 CEST 2008Proceedings of I-Semantics' 07pp. 201-211The NEPOMUK Project - On the way to the Social Semantic Desktop2007semantic web This paper introduces the NEPOMUK project which aims to create a standard and reference implementation for the Social Semantic Desktop. We outline the requirements and functionalities that were identified for a useful Semantic Desktop system and present an architecture that fulfills these requirements which was acquired by incremental refinement of the architecture of existing Semantic Desktop prototypes. The NEPOMUK project is primarily motivated by three real-life industrial use-cases, we briefly outline these and the processes used to extract required functionalities from the people working in these areas today, and we present a selection of typical tasks where the Semantic Desktop could be of benefit.iknow2007 publicationshttp://www.bibsonomy.org/bibtex/2e9a5c22185a66410ca99293d3e116387/pewupewu2008-04-23T10:26:18+02:00semantic web <span style="color:#555555;">Leo <a href="http://www.bibsonomy.org/author/Sauermann">Sauermann</a> and Ludger van <a href="http://www.bibsonomy.org/author/Elst">Elst</a> and Andreas <a href="http://www.bibsonomy.org/author/Dengel">Dengel</a> </span><em>Proceedings of I-Semantics' 07, </em><em>pagepp. 270-277. </em><em>JUCS, </em>(<em>2007</em>)Wed Apr 23 10:26:18 CEST 2008Proceedings of I-Semantics' 07pp. 270-277PIMO - a Framework for Representing Personal Information Models2007semantic web http://www.bibsonomy.org/bibtex/203d24fef49e40d9dec474d04d0b27000/pewupewu2008-04-23T10:25:17+02:00web semantic <span style="color:#555555;">Markus <a href="http://www.bibsonomy.org/author/Krötzsch">Kr&#246;tzsch</a> and Denny <a href="http://www.bibsonomy.org/author/Vrandecic">Vrandecic</a> and Max <a href="http://www.bibsonomy.org/author/Völkel">V&#246;lkel</a> and Heiko <a href="http://www.bibsonomy.org/author/Haller">Haller</a> and Rudi <a href="http://www.bibsonomy.org/author/Studer">Studer</a> </span><em>Journal of Web Semantics</em><em>DEC2007. </em><em>To appear. . </em>Wed Apr 23 10:25:17 CEST 2008Journal of Web SemanticsDECTo appear.Semantic Wikipedia2007web semantic Wikipedia is the world's largest collaboratively edited source of encyclopaedic knowledge. But in spite of its utility, its content is barely machine-interpretable and only weakly structured. With Semantic MediaWiki we provide an extension that enables wiki-users to semantically annotate wiki pages, based on which the wiki contents can be browsed, searched, and reused in novel ways. In this paper, we give an extended overview of Semantic MediaWiki and discuss experiences regarding performance and current applications.