BibSonomy publications for /tag/research.web20.taggingThu Oct 07 12:19:32 CEST 2010New York, NY, USAHT '09: Proceedings of the Twentieth ACM Conference on Hypertext and HypermediaJulyContextualising Tags in Collaborative Tagging Systems2009research.web20.tagging research.conceptual.folksonomy Collaborative tagging systems are now popular tools for organising and sharing information on the Web. While collaborative tagging offers many advantages over the use of controlled vocabularies, they also suffer from problems such as the existence of polysemous tags. We investigate how the different contexts in which individual tags are used can be revealed automatically without consulting any external resources. We consider several different network representations of tags and documents, and apply a graph clustering algorithm on these networks to obtain groups of tags or documents corresponding to the different meanings of an ambiguous tag. Our experiments show that networks which explicitly take the social context into account are more likely to give a better picture of the semantics of a tag.Thu Oct 07 11:08:26 CEST 2010HeidelbergThe Semantic Web: Research and ApplicationsJune411-426LNAIInformation Retrieval in Folksonomies: Search and Ranking40112006research.web20.tagging research.conceptual.folksonomy research.ir.ranking software.bookmarks Social bookmark tools are rapidly emerging on the Web. In suchsystems users are setting up lightweight conceptual structurescalled folksonomies. The reason for their immediate success is thefact that no specific skills are needed for participating. At themoment, however, the information retrieval support is limited. Wepresent a formal model and a new search algorithm for folksonomies,called \emph{FolkRank}, that exploits the structure of thefolksonomy. The proposed algorithm is also applied to findcommunities within the folksonomy and is used to structure searchresults. All findings are demonstrated on a large scale dataset.Thu Oct 07 11:08:26 CEST 2010Proceedings of the Conceptual Structures Tool Interoperability Workshop{BibSonomy}: A Social Bookmark and Publication Sharing System2006research.conceptual research.web20.tagging research.ir software.bookmarks Thu Oct 07 11:07:34 CEST 2010ThingologyWhen tags work and when they don't: Amazon and LibraryThing20.2.2007research.web20.tagging research.ir.ranking study.web20 Thu Oct 07 11:06:44 CEST 2010Journal of Web Semantics138-53Discovering Shared Conceptualizations in Folksonomies62008research.conceptual research.conceptual.generation research.kr.ontologies research.web20.tagging research.ir software.bookmarks Thu Oct 07 11:06:43 CEST 2010Conceptual Structures: Knowledge Architectures for Smart Applications283--295Analysis of the Publication Sharing Behaviour in BibSonomy2007research.conceptual research.web20.tagging research.ir software.bookmarks BibSonomy is a web-based social resource sharing system which allows users to organise and share bookmarks and publicationsin a collaborative manner. In this paper we present the system, followed by a description of the insights in the structureof its bibliographic data that we gained by applying techniques we developed in the area of Formal Concept Analysis.Thu Oct 07 11:05:42 CEST 2010Cognitive Psychology#jul#3457--482Object categories and expertise: Is the basic level in the eye of the beholder?231991research.conceptual research.web20.tagging humanities.psychology Classic research on conceptual hierarchies has shown that the interaction between the human perceiver and objects in the environment specifies one level of abstraction for categorizing objects, called the basic level, which plays a primary role in cognition. The question of whether the special psychological status of the basic level can be modified by experience was addressed in three experiments comparing the performance of subjects in expert and novice domains. The main findings were that in the domain of expertise (a) subordinate-level categories were as differentiated as the basic-level categories, (b) subordinate-level names were used as frequently as basic-level names for identifying objects, and (c) subordinate-level categorizations were as fast as basic-level categorizations. Taken together, these results demonstrate that individual differences in domain-specific knowledge affect the extent that the basic level is central to categorization.Thu Oct 07 11:05:09 CEST 2010Conceptual Modeling - ER 2006325--338Concept Modeling by the Masses: Folksonomy Structure and Interoperability2006research.web20.tagging research.conceptual.folksonomy study.web20 The recent popularity of social software in the wake of the much hyped “Web2.0�? has resulted in a flurry of activity aroundfolksonomies, the emergent systems of classification that result from making public the individual users’ personal classificationsin the form of simple free form “tags�?. Several approaches have emerged in the analysis of these folksonomies including mathematicalapproaches for clustering and identifying affinities, social theories about cultural factors in tagging, and cognitive theoriesabout their mental underpinnings. In this paper we argue that the most useful analysis is in terms of mental phenomena sincenaive classification is essentially a cognitive task. We then describe a method for extracting structural properties of freeform user tags, based on the linguistic properties of the tags. This reveals some deep insights in the conceptual modelingbehavior of naive users. Finally we explore the usefulness of the latent structural properties of free form “tag clouds�? forinteroperability between folksonomies from different services.Thu Jun 25 16:49:07 CEST 2009Journal of Digital Information27Tagging tagging. Analysing user keywords in scientific bibliogra-phy management systems92008research.web20.tagging research.kr.domain study.web20 In this paper, an empirical study of tagging behaviour in web-based bibliographic annotation systems is presented. Starting from an initial category finding phase in which tags attributed to selected articles from Connotea were classified we have set up a category model for linguistic and functional aspects of tag usage as well as for the relationship between tags and document full text. In a second phase this model is applied to approx. 500 tagged articles from the information and computer technology domain randomly selected from Connotea. Our findings show significant differences to other tagging research which was primarily conducted using popular (non-scientific) tagging platforms like Flickr or Delicious. We observe a great overlap of tag material and document text and rather few non-content related tags. The comparison of user tags with author keywords shows that users tend to use less and more general tags. Finally, system functionality seems to play a role for users’ tagging behaviour.Thu Jun 25 15:48:39 CEST 2009New York, NY, USAHYPERTEXT '05: Proceedings of the sixteenth ACM conference on Hypertext and hypermedia46--53Feral hypertext: when hypertext literature escapes control2005research.web20.tagging research.conceptual.folksonomy research.conceptual.hypertext This paper presents a historical view of hypertext looking at pre-web hypertext as a domesticated species bred in captivity, and arguing that on the web, some breeds of hypertext have gone feral. Feral hypertext is no longer tame and domesticated, but is fundamentally out of our control. In order to understand and work with feral hypertext, we need to accept this and think more as hunter-gatherers than as the farmers we have been for domesticated hypertext. The paper discusses hypertext in general with an emphasis on literary and creative hypertext practice.Thu Jun 25 15:48:38 CEST 2009Thousand Oaks, CA, USAJ. Inf. Sci.2198--208Usage patterns of collaborative tagging systems322006research.web20.tagging study.web20 Fri May 29 06:40:07 CEST 2009QueueNovember928--35Social bookmarking in the enterprise32005research.bizInt research.web20.tagging Fri Aug 22 09:14:55 CEST 2008New York, NY, USACSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work181--190tagging, communities, vocabulary, evolution2006research.web20.tagging state.toRead study.web20 A tagging community's vocabulary of tags forms the basis for social navigation and shared expression.We present a user-centric model of vocabulary evolution in tagging communities based on community influence and personal tendency. We evaluate our model in an emergent tagging system by introducing tagging features into the MovieLens recommender system.We explore four tag selection algorithms for displaying tags applied by other community members. We analyze the algorithms 'effect on vocabulary evolution, tag utility, tag adoption, and user satisfaction.Mon Aug 18 14:24:48 CEST 2008New York, NY, USACSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work191--194What goes around comes around: an analysis of del.icio.us as social space2006research.web20.tagging software Mon Aug 18 14:24:36 CEST 2008New York, NY, USAWWW '06: Proceedings of the 15th international conference on World Wide Web193--202Visualizing tags over time2006research.ir.visualization research.web20.tagging Mon Aug 18 14:04:10 CEST 2008World of Wireless, Mobile and Multimedia Networks, 2007. WoWMoM 2007. IEEE International Symposium on a1-7Mobile Search: The Need for Content Feed and Metadata Standards2007research.ir.metadata research.web20.tagging The current explosion in mobile content exposes the need for search engines to enable its discovery. Simple browsing and manual entry of URLs are not efficient discovery mechanisms. To facilitate discovery, content must be organized and identifiable for ingestion by search engines. In particular, the ad hoc methodologies of content catalog formatting currently employed by mobile content providers must give way to standardization. This document details a proposed approach to content feed standards. A simple set of best practices and basic but flexible standards will greatly assist those seeking to deliver content through mobile search engines to wireless users.Mon Aug 18 14:02:14 CEST 2008New York, NY, USAHYPERTEXT '06: Proceedings of the seventeenth conference on Hypertext and hypermedia111--114Harvesting social knowledge from folksonomies2006research.conceptual.folksonomy research.web20.tagging Collaborative tagging systems, or folksonomies, have the potential of becoming technological infrastructure to support knowledge management activities in an organization or a society. There are many challenges, however. This paper presents designs that enhance collaborative tagging systems to meet some key challenges: community identification, ontology generation, user and document recommendation. Design prototypes, evaluation methodology and selected preliminary results are presented.Mon Aug 18 14:00:33 CEST 2008NovemberHierarchical Subject Relationships in Folksonomies2005research.conceptual.folksonomy research.web20.tagging The growth in digital resource repositories flickr and del.icio.us, mirrors the growth of Folksonomies to support resource classification and access. Despite this phenomenon, little is known about the effectiveness of folksonomy for retrieval and organization. Little is also known about their structure and the types of semantic relationships among folksonomy terms. This study analyzes folksonomy metadata for hierarchal semantic relationships via a content analysis of approximately 2000 folksonomy tags in over 600 individual entries. The terms were classified into groups and analyzed for hierarchical relationships. The results indicate that hierarchical relationships are part of Folksonomies. The conclusion briefly explores the potential value of thesauri for Folksonomy development, and the value of Folksonomies to thesauri developers.Mon Aug 18 14:00:25 CEST 2008New York, NY, USAWWW '06: Proceedings of the 15th international conference on World Wide Web625--632Improved annotation of the blogosphere via autotagging and hierarchical clustering2006research.clustering research.web20.tagging Tags have recently become popular as a means of annotating and organizing Web pages and blog entries. Advocates of tagging argue that the use of tags produces a 'folksonomy', a system in which the meaning of a tag is determined by its use among the community as a whole. We analyze the effectiveness of tags for classifying blog entries by gathering the top 350 tags from Technorati and measuring the similarity of all articles that share a tag. We find that tags are useful for grouping articles into broad categories, but less effective in indicating the particular content of an article. We then show that automatically extracting words deemed to be highly relevant can produce a more focused categorization of articles. We also show that clustering algorithms can be used to reconstruct a topical hierarchy among tags, and suggest that these approaches may be used to address some of the weaknesses in current tagging systems.Mon Aug 18 14:00:08 CEST 2008Ontology of Folksonomy2005research.conceptual.folksonomy research.kr.ontologies research.web20.tagging Ontologies are enabling technology for the Semantic Web. They are a means for people to state what they mean by formal terms used in data that they might generate or consume. Folksonomies are an emergent phenomenon of the social web. They are created as people associate terms with content that they generate or consume. Recently the two ideas have been put into opposition, as if they were right and left poles of a political spectrum. This piece is an attempt to shed some cool light on the subject, and to preview some new work that applies the two ideas together to enable an Internet ecology for folksonomies.research.web20.taggingCommunity for tag(s) research.web20.tagging