<rdf:RDF xmlns:community="http://www.bibsonomy.org/ontologies/2008/05/community#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:admin="http://webns.net/mvcb/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:cc="http://web.resource.org/cc/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" xmlns:swrc="http://swrc.ontoware.org/ontology#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xml:base="http://www.bibsonomy.org/user/jaeschke/management"><owl:Ontology rdf:about=""><rdfs:comment>BibSonomy publications for /user/jaeschke/management</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2509f3fdb38fffc50bd2a232bb6800b83/jaeschke"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2509f3fdb38fffc50bd2a232bb6800b83/jaeschke"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://www.sciencedirect.com/science/article/B83WV-52S72KS-1/2/a1b5622db7d1b63e2a1078669e0b9960"/><swrc:date>Tue May 10 10:41:52 CEST 2011</swrc:date><swrc:journal>Journal of Informetrics</swrc:journal><swrc:pages> - </swrc:pages><swrc:title>Applying social bookmarking data to evaluate journal usage</swrc:title><swrc:volume>In Press, Corrected Proof</swrc:volume><swrc:year>2011</swrc:year><swrc:keywords>collaborative management publication tagging </swrc:keywords><swrc:abstract>Web 2.0 technologies are finding their way into academics: specialized social bookmarking services allow researchers to store and share scientific literature online. By bookmarking and tagging articles, academic prosumers generate new information about resources, i.e. usage statistics and content description of scientific journals. Given the lack of global download statistics, the authors propose the application of social bookmarking data to journal evaluation. For a set of 45 physics journals all 13,608 bookmarks from CiteULike, Connotea and BibSonomy to documents published between 2004 and 2008 were analyzed. This article explores bookmarking data in STM and examines in how far it can be used to describe the perception of periodicals by the readership. Four basic indicators are defined, which analyze different aspects of usage: Usage Ratio, Usage Diffusion, Article Usage Intensity and Journal Usage Intensity. Tags are analyzed to describe a reader-specific view on journal content.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1751-1577" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1016/j.joi.2011.04.002" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Stefanie Haustein"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Tobias Siebenlist"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2c9437d5ec56ba949f533aeec00f571e3/jaeschke"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2c9437d5ec56ba949f533aeec00f571e3/jaeschke"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://www.kde.cs.uni-kassel.de/pub/pdf/benz2010social.pdf"/><swrc:date>Thu Jan 27 09:09:53 CET 2011</swrc:date><swrc:address>Berlin / Heidelberg</swrc:address><swrc:journal>The VLDB Journal</swrc:journal><swrc:month>dec</swrc:month><swrc:number>6</swrc:number><swrc:pages>849--875</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Springer"/></swrc:publisher><swrc:title>The Social Bookmark and Publication Management System BibSonomy</swrc:title><swrc:volume>19</swrc:volume><swrc:year>2010</swrc:year><swrc:keywords>2010 bibsonomy bookmark collaborative folksonomy kde management myown publication system tagging top vldb </swrc:keywords><swrc:abstract>Social resource sharing systems are central elements of the Web 2.0 and use the same kind of lightweight knowledge representation, called folksonomy. Their large user communities and ever-growing networks of user-generated content have made them an attractive object of investigation for researchers from different disciplines like Social Network Analysis, Data Mining, Information Retrieval or Knowledge Discovery. In this paper, we summarize and extend our work on different aspects of this branch of Web 2.0 research, demonstrated and evaluated within our own social bookmark and publication sharing system BibSonomy, which is currently among the three most popular systems of its kind. We structure this presentation along the different interaction phases of a user with our system, coupling the relevant research questions of each phase with the corresponding implementation issues. This approach reveals in a systematic fashion important aspects and results of the broad bandwidth of folksonomy research like capturing of emergent semantics, spam detection, ranking algorithms, analogies to search engine log data, personalized tag recommendations and information extraction techniques. We conclude that when integrating a real-life application like BibSonomy into research, certain constraints have to be considered; but in general, the tight interplay between our scientific work and the running system has made BibSonomy a valuable platform for demonstrating and evaluating Web 2.0 research.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1066-8888" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="Andreas" swrc:key="for"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Dominik Benz"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Andreas Hotho"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Robert Jäschke"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Beate Krause"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Folke Mitzlaff"/></rdf:_5><rdf:_6><swrc:Person swrc:name="Christoph Schmitz"/></rdf:_6><rdf:_7><swrc:Person swrc:name="Gerd Stumme"/></rdf:_7></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/297d3915ead822cfa033fc821b424e437/jaeschke"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/297d3915ead822cfa033fc821b424e437/jaeschke"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://www.emeraldinsight.com/10.1108/00242530610667558"/><swrc:date>Mon Oct 27 09:14:27 CET 2008</swrc:date><swrc:journal>Library Review</swrc:journal><swrc:number>5</swrc:number><swrc:pages>291-300</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Emerald Group Publishing Limited"/></swrc:publisher><swrc:title>Collaborative Tagging as a Knowledge Organisation and Resource Discovery Tool</swrc:title><swrc:volume>55</swrc:volume><swrc:year>2006</swrc:year><swrc:keywords>bookmarking classification folksonomy information knowledge management retrieval social tagging </swrc:keywords><swrc:abstract>The purpose of the paper is to provide an overview of the collaborative tagging phenomenon and explore some of the reasons for its emergence. Design/methodology/approach - The paper reviews the related literature and discusses some of the problems associated with, and the potential of, collaborative tagging approaches for knowledge organisation and general resource discovery. A definition of controlled vocabularies is proposed and used to assess the efficacy of collaborative tagging. An exposition of the collaborative tagging model is provided and a review of the major contributions to the tagging literature is presented. Findings - There are numerous difficulties with collaborative tagging systems (e.g. low precision, lack of collocation, etc.) that originate from the absence of properties that characterise controlled vocabularies. However, such systems can not be dismissed. Librarians and information professionals have lessons to learn from the interactive and social aspects exemplified by collaborative tagging systems, as well as their success in engaging users with information management. The future co-existence of controlled vocabularies and collaborative tagging is predicted, with each appropriate for use within distinct information contexts: formal and informal. Research limitations/implications - Librarians and information professional researchers should be playing a leading role in research aimed at assessing the efficacy of collaborative tagging in relation to information storage, organisation, and retrieval, and to influence the future development of collaborative tagging systems. Practical implications - The paper indicates clear areas where digital libraries and repositories could innovate in order to better engage users with information. Originality/value - At time of writing there were no literature reviews summarising the main contributions to the collaborative tagging research or debate.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="0024-2535" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1108/00242530610667558" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="George Macgregor"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Emma McCulloch"/></rdf:_2></rdf:Seq></swrc:author><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="David McMenemy"/></rdf:_1></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/210efb9940c6f2881cd6c84b6c52bebd8/jaeschke"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/210efb9940c6f2881cd6c84b6c52bebd8/jaeschke"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://www.www2004.org/proceedings/docs/2p1.pdf"/><swrc:date>Thu Feb 01 14:04:37 CET 2007</swrc:date><swrc:booktitle>Proc. 13th International World Wide Web Conference (WWW 2004)</swrc:booktitle><swrc:pages>1-10</swrc:pages><swrc:title>Semantic resource management for the web: an e-learning application</swrc:title><swrc:year>2004</swrc:year><swrc:keywords>iccs_example learning management semantic trias_example web </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="http://doi.acm.org/10.1145/1013369" swrc:key="ee"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="DBLP, http://dblp.uni-trier.de" swrc:key="bibsource"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Julien Tane"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Christoph Schmitz"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Gerd Stumme"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/253e13744981f2c04d9239e0cf9b4e689/jaeschke"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/253e13744981f2c04d9239e0cf9b4e689/jaeschke"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InBook"/><owl:sameAs rdf:resource="http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006kollaboratives.pdf"/><swrc:date>Thu Feb 01 14:04:37 CET 2007</swrc:date><swrc:booktitle>Semantic Web - Wege zur vernetzten Wissensgesellschaft</swrc:booktitle><swrc:pages>273-290</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Springer"/></swrc:publisher><swrc:title>Kollaboratives Wissensmanagement</swrc:title><swrc:year>2006</swrc:year><swrc:keywords>2006 collaborative iccs_example knowledge l3s management myown semantic trias_example web </swrc:keywords><swrc:abstract>Wissensmanagement in zentralisierten Wissensbasen erfordert
einen hohen Aufwand für Erstellung und Wartung, und es entspricht nicht
immer den Anforderungen der Benutzer. Wir geben in diesem Kapitel einen Überblick
über zwei aktuelle Ansätze, die durch kollaboratives Wissensmanagement
diese Probleme lösen können. Im Peer-to-Peer-Wissensmanagement unterhalten
Benutzer dezentrale Wissensbasen, die dann vernetzt werden können, um
andere Benutzer eigene Inhalte nutzen zu lassen. Folksonomies versprechen, die
Wissensakquisition so einfach wie möglich zu gestalten und so viele Benutzer in
den Aufbau und die Pflege einer gemeinsamen Wissensbasis einzubeziehen.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="3-540-29324-8" swrc:key="isbn"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Christoph Schmitz"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Andreas Hotho"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Robert Jäschke"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Gerd Stumme"/></rdf:_4></rdf:Seq></swrc:author><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="Tassilo Pellegrini"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Andreas Blumauer"/></rdf:_2></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/209499c09e4c9b63f2d881ecdf13795bf/jaeschke"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/209499c09e4c9b63f2d881ecdf13795bf/jaeschke"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://semwiki.org/semwiki2006"/><swrc:date>Thu Feb 01 14:04:37 CET 2007</swrc:date><swrc:booktitle>Proceedings of the First Workshop on Semantic Wikis -- From Wiki
	To Semantics</swrc:booktitle><swrc:crossref>SemWiki2006-proceedings</swrc:crossref><swrc:month>June</swrc:month><swrc:publisher><swrc:Organization swrc:name="ESWC2006"/></swrc:publisher><swrc:series>Workshop on Semantic Wikis</swrc:series><swrc:title>A Semantic Wiki for Mathematical Knowledge Management</swrc:title><swrc:year>2006</swrc:year><swrc:keywords>iccs_example knowledge management semantic trias_example wiki </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="2006.06.14" swrc:key="timestamp"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="voelkel" swrc:key="owner"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Christoph Lange"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Michael Kohlhase"/></rdf:_2></rdf:Seq></swrc:author><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="Max V\&#034;{o}lkel"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Sebastian Schaffert"/></rdf:_2></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/266eb70a04e6946077182446170dd6dcf/jaeschke"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/266eb70a04e6946077182446170dd6dcf/jaeschke"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#PhDThesis"/><owl:sameAs rdf:resource="http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:kobv:83-opus-10720"/><swrc:date>Thu Sep 14 08:49:50 CEST 2006</swrc:date><swrc:title>IT-supported Visualization and Evaluation of Virtual Knowledge Communities. Applying Social Network Intelligence Software in Knowledge Management to enable knowledge oriented People Network Management</swrc:title><swrc:year>2005</swrc:year><swrc:keywords>social detection knowledge management community network </swrc:keywords><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Matthias Trier"/></rdf:_1></rdf:Seq></swrc:author></rdf:Description></rdf:RDF>
