Improving the Navigability of Tagging Systems with Hierarchically Constructed Resource Lists and Tag Trails

Trattner, Christoph
September 2011
Journal of Computing & Information Technology;Sep2011, Vol. 19 Issue 3, p155
Academic Journal
Recent research has shown that the navigability of tagging systems leaves much to be desired. In general, it was observed that tagging systems are not navigable if the resource lists of the tagging system are limited to a certain factor k. Hence, in this paper a novel resource list generation approach is introduced that addresses this issue. The proposed approach is based on a hierarchical network model. The paper shows through a number of experiments based on a tagging dataset from a large online encyclopedia system called Austria-Forum, that the new algorithm is able to create tag network structures that are navigable in an efficient manner. Contrary to previous work, the method featured in this paper is completely generic, i.e. the introduced resource list generation approach could be used to improve the navigability of any tagging system. This work is relevant for researchers interested in navigability of emergent hypertext structures and for engineers seeking to improve the navigability of tagging systems.


Related Articles

  • The personal information of label algorithm in space management system research. Liu Hui; Huang Kuanna // Advanced Materials Research;2014, Vol. 971-973, p1994 

    Tag technology how to combine with personal information management model is a personal space management information system of data management and sharing of the premise, based on information search in the traditional personal information management efficiency is low, can't share problem, put...

  • Foreword and Editorial. Haeng-kon Kim; Fiaidhi, Jinan // International Journal of Software Engineering & Its Applications;2014, Vol. 8 Issue 3, pvii 

    An introduction is presented in which the editors discuss various reports within the issue on topics including tag identification and tag collisions, the performance of algorithms used for image processing, and new approach for object evolution.

  • A Parallel Computing Method of Social Tag Cooccurrence Relation. Xiangqian Wang; Huizong Li; Yerong He // Applied Mathematics & Information Sciences;2013, Vol. 7 Issue 6, p2525 

    Cooccurrence relation extraction of abundant tags is very significant for information retrieve and tag recommendation. This paper presents a parallel extraction method of tag cooccurrence relation based on cloud computing. At last, two experiments show that the parallel extraction method can...

  • Collaboration and Gaming. Angelides, Marios; Agius, Harry // Multimedia Tools & Applications;Jan2013, Vol. 62 Issue 1, p139 

    An introduction is presented in which the guest editors discuss various reports within the issue on topics including the use of collaboration for multimedia resources tagging, web page partitioning, and the augmentation of games and gesture-based recognition into mobile phone interfaces.

  • Design, implementation and validation of AI-inspired information systems. Cuzzocrea, Alfredo // Journal of Intelligent Information Systems;Aug2015, Vol. 45 Issue 1, p1 

    An introduction to the journal is presented in which the editor discusses various reports within the issue on topics including consistent structuring of inconsistent knowledge, the design of distributed database systems, and a kernel information propagation tag clustering algorithm.

  • What Is Inline-XBRL? Markelevich, Ariel; Lamb, Kyle // Strategic Finance;Apr2012, Vol. 93 Issue 10, p64 

    The article presents information about Inline-XBRL (eXtensible Business Reporting Language) or iXBRL, a standard that integrates a Web page and embedded XBRL tagged data. The differences in documents formatted with XBRL and iXBRL tags are discussed as well as the advantages of iXBRL over...

  • User Network Analysis based on Social Tagging. Fengling Zhong; Jianliang Wei // International Journal of Advancements in Computing Technology;Mar2013, Vol. 5 Issue 5, p1146 

    Currently, social tagging has been increasingly popular in the application of Internet. In social tagging system, users are related by tags as well as information resources. In this paper, we discuss the method of researching user network first, and try to find out key users in a tagging network...

  • Twitter data analysis as contribution to strategic foresight-The case of the EU Research Project 'Foresight and Modelling for European Health Policy and Regulations' (FRESHER). Uhl, AndrĂ©; Kolleck, Nina; Schiebel, Edgar // European Journal of Futures Research;12/8/2016, Vol. 5 Issue 1, p1 

    In this article the value of Twitter data analysis for a strategic foresight exercise is discussed. The article offers an overview of Twitter's basic functionalities, previous Twitter research and related studies on using Twitter in foresight projects to date. Based on this knowledge the case of...

  • Efficient max-margin multi-label classification with applications to zero-shot learning. Hariharan, Bharath; Vishwanathan, S.; Varma, Manik // Machine Learning;Jul2012, Vol. 88 Issue 1/2, p127 

    The goal in multi-label classification is to tag a data point with the subset of relevant labels from a pre-specified set. Given a set of L labels, a data point can be tagged with any of the 2 possible subsets. The main challenge therefore lies in optimising over this exponentially large label...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics