BibSonomy publications for /author/HalpinSun Feb 12 00:00:00 CET 2012LDHconf/ijcai/2011ldl25-30When owl: sameAs isn't the Same Redux: A preliminary theory of identity and inference on the Semantic Web.2011dblp Sat Feb 11 19:24:16 CET 2012New York and NY and USAProceedings of the 16th international conference on World Wide Web211--220WWW '07The complex dynamics of collaborative tagging2007imported Mon Jan 23 11:12:32 CET 2012New York, NY, USAProceedings of the 16th international conference on World Wide Web211--220WWW '07The complex dynamics of collaborative tagging2007dynamics tagging taggingsurvey The debate within the Web community over the optimal means by which to organize information often pits formalized classifications against distributed collaborative tagging systems. A number of questions remain unanswered, however, regarding the nature of collaborative tagging systems including whether coherent categorization schemes can emerge from unsupervised tagging by users. This paper uses data from the social bookmarking site delicio. us to examine the dynamics of collaborative tagging systems. In particular, we examine whether the distribution of the frequency of use of tags for "popular" sites with a long history (many tags and many users) can be described by a power law distribution, often characteristic of what are considered complex systems. We produce a generative model of collaborative tagging in order to understand the basic dynamics behind tagging, including how a power law distribution of tags could arise. We empirically examine the tagging history of sites in order to determine how this distribution arises over time and to determine the patterns prior to a stable distribution. Lastly, by focusing on the high-frequency tags of a site where the distribution of tags is a stabilized power law, we show how tag co-occurrence networks for a sample domain of tags can be used to analyze the meaning of particular tags given their relationship to other tags.Mon Jan 23 09:21:07 CET 2012New York, NY, USAACM Trans. WebSeptember14:1--14:34Emergence of consensus and shared vocabularies in collaborative tagging systems32009taggingsurvey tags voc This article uses data from the social bookmarking site del.icio.us to empirically examine the dynamics of collaborative tagging systems and to study how coherent categorization schemes emerge from unsupervised tagging by individual users.</p> <p>First, we study the formation of stable distributions in tagging systems, seen as an implicit form of &ldquo;consensus&rdquo; reached by the users of the system around the tags that best describe a resource. We show that final tag frequencies for most resources converge to power law distributions and we propose an empirical method to examine the dynamics of the convergence process, based on the Kullback-Leibler divergence measure. The convergence analysis is performed for both the most utilized tags at the top of tag distributions and the so-called long tail.</p> <p>Second, we study the information structures that emerge from collaborative tagging, namely tag correlation (or folksonomy) graphs. We show how community-based network techniques can be used to extract simple tag vocabularies from the tag correlation graphs by partitioning them into subsets of related tags. Furthermore, we also show, for a specialized domain, that shared vocabularies produced by collaborative tagging are richer than the vocabularies which can be extracted from large-scale query logs provided by a major search engine.</p> <p>Although the empirical analysis presented in this article is based on a set of tagging data obtained from del.icio.us, the methods developed are general, and the conclusions should be applicable across other websites that employ tagging.Tue Jan 03 00:00:00 CET 2012Applied Ontology3263-293The identity of resources on the Web: An ontology for Web architecture.62011dblp Mon Jan 02 00:00:00 CET 2012Minds and Machines2153-178Sense and Reference on the Web.212011dblp Fri Dec 23 00:00:00 CET 2011AAAIconf/aaai/1990210-215Search Lessons Learned from Crossword Puzzles.1990dblp Wed Dec 21 21:59:59 CET 2011New York, NY, USAProceedings of the 20th ACM conference on Hypertext and hypermedia359--360HT '09The role of tag suggestions in folksonomies2009folksonomy power-law preferential-attachment tag-recommendation tagging Most tagging systems support the user in the tag selection process by providing tag suggestions, or recommendations, based on a popularity measurement of tags other users provided when tagging the same resource. The majority of theories and mathematical models of tagging found in the literature assume that the emergence of power laws in tagging systems is mainly driven by the imitation behavior of users when observing tag suggestions provided by the user interface of the tagging system. We present experimental results that show that the power law distribution forms regardless of whether or not tag suggestions are presented to the users.Sun Dec 18 00:00:00 CET 2011J. Web Sem.4474-489Relevance feedback between hypertext and Semantic Web search: Frameworks and evaluation.92011dblp Mon Dec 05 00:00:00 CET 2011CoRRThe Role of Tag Suggestions in Folksonomiesabs/0903.17882009dblp Sun Dec 04 21:23:09 CET 2011ISTA39-52LNIBusiness Rule Verbalization482004orm2 Mon Nov 28 07:27:05 CET 2011New York, NY, USAProceedings of the 16th international conference on World Wide Web211--220WWW '07The complex dynamics of collaborative tagging2007folksonomy model tagging {The debate within the Web community over the optimal means by which to organize information often pits formalized classifications against distributed collaborative tagging systems. A number of questions remain unanswered, however, regarding the nature of collaborative tagging systems including whether coherent categorization schemes can emerge from unsupervised tagging by users. This paper uses data from the social bookmarking site delicio. us to examine the dynamics of collaborative tagging systems. In particular, we examine whether the distribution of the frequency of use of tags for "popular" sites with a long history (many tags and many users) can be described by a power law distribution, often characteristic of what are considered complex systems. We produce a generative model of collaborative tagging in order to understand the basic dynamics behind tagging, including how a power law distribution of tags could arise. We empirically examine the tagging history of sites in order to determine how this distribution arises over time and to determine the patterns prior to a stable distribution. Lastly, by focusing on the high-frequency tags of a site where the distribution of tags is a stabilized power law, we show how tag co-occurrence networks for a sample domain of tags can be used to analyze the meaning of particular tags given their relationship to other tags.}Fri Nov 25 13:04:27 CET 2011New York, NY, USAProceedings of the 16th international conference on World Wide Web211--220WWW '07{The complex dynamics of collaborative tagging}2007ambiguity collaborative distribution dynamics generative_model power_law preferential_attachment stability synonymy tagging tripartite {The debate within the Web community over the optimal means by which to organize information often pits formalized classifications against distributed collaborative tagging systems. A number of questions remain unanswered, however, regarding the nature of collaborative tagging systems including whether coherent categorization schemes can emerge from unsupervised tagging by users. This paper uses data from the social bookmarking site delicio. us to examine the dynamics of collaborative tagging systems. In particular, we examine whether the distribution of the frequency of use of tags for "popular" sites with a long history (many tags and many users) can be described by a power law distribution, often characteristic of what are considered complex systems. We produce a generative model of collaborative tagging in order to understand the basic dynamics behind tagging, including how a power law distribution of tags could arise. We empirically examine the tagging history of sites in order to determine how this distribution arises over time and to determine the patterns prior to a stable distribution. Lastly, by focusing on the high-frequency tags of a site where the distribution of tags is a stabilized power law, we show how tag co-occurrence networks for a sample domain of tags can be used to analyze the meaning of particular tags given their relationship to other tags.}Fri Nov 25 00:00:00 CET 2011Encyclopedia of Database Systemsreference/db/20091941-1946Object-Role Modeling.2009dblp Fri Nov 25 00:00:00 CET 2011Encyclopedia of Information Science and Technology (III)books/idea/Ency051471-1475Information Modeling in UML and ORM.2005dblp Thu Nov 24 00:00:00 CET 2011SIGIRconf/sigir/2011923-932Repeatable and reliable search system evaluation using crowdsourcing.2011dblp Tue Nov 15 00:00:00 CET 2011DACconf/dac/2001780-783Timing Driven Placement using Physical Net Constraints.2001dblp Mon Nov 07 20:47:02 CET 2011Journal of Librarianship and Information Science279-91Convergence and professional identity in the academic library382006ABMM50 PBL3 fixme <p>This paper discusses the effects of operational convergence, and the subsequent growth of the hybrid library model, upon the professional selfidentity of academic library staff. The role of professionalism as a concept and motivational driver within contemporary academic librarianship is examined. Main themes of investigation include the extent of work assimilation between the traditional library and computing disciplines and between professional/para-professional staff groupings. Following a review of the literature, case study research involving Learning and Information Services (LIS) departments at four British universities was undertaken, including interview and focus group work with LIS staff from across the organizational structure. Predominant challenges to professional identity include employer (rather than professional) allegiance, the growing status of the para-professional and the growth of a generic skills base as recognized by para-professional sectors such as business, finance and media.</p> Mon Oct 31 00:00:00 CET 2011OTM Workshopsconf/otm/2011-w309-318Lecture Notes in Computer ScienceEnriched Support for Ring Constraints.70462011dblp Mon Oct 31 00:00:00 CET 2011OTM Workshopsconf/otm/2011-w256-257Lecture Notes in Computer ScienceORM 2011 PC Co-chairs' Message.70462011dblp