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

Auteurs : Christoph Trattner (Autriche)

Format Inist (serveur)

NO : PASCAL 12-0082778 INIST
ET : Improving the Navigability of Tagging Systems with Hierarchically Constructed Resource Lists and Tag Trails
AU : TRATTNER (Christoph)
AF : Knowledge Management Institute and Institute for Information Systems and Computer Media, Graz University of Technology/Autriche (1 aut.)
DT : Publication en série; Niveau analytique
SO : CIT. Journal of computing and information technology; ISSN 1330-1136; Croatie; Da. 2011; Vol. 19; No. 3; Pp. 155-167; Bibl. 36 ref.
LA : Anglais
EA : 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.
CC : 001D02B07D; 001D02B04
FD : Navigabilité; Analyse syntaxique; Navigation information; Hypertexte; Métadonnée; Texte; Marquage; Mot clé; Sémiologie; Système hiérarchisé; .; Base donnée très grande; Structure réseau
ED : Navigability; Syntactic analysis; Information browsing; Hypertext; Metadata; Text; Tagging; Keyword; Semiology; Hierarchical system; Very large databases; Network structure
SD : Navigabilidad; Análisis sintáxico; Navegacíon informacíon; Hipertexto; Metadatos; Texto; Marcación; Palabra clave; Semiología; Sistema jerarquizado; Base de datos a gran escala; Estructura de redes
LO : INIST-22962.354000505988540020
ID : 12-0082778

Format Inist
pA
  A01
    s0 : 1330-1136
  A03
    s0 : CIT. J. comput. inf. technol.
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    s1 : Improving the Navigability of Tagging Systems with Hierarchically Constructed Resource Lists and Tag Trails
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    s1 : TRATTNER (Christoph)
  A14
    s1 : Knowledge Management Institute and Institute for Information Systems and Computer Media, Graz University of Technology
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    s0 : CIT. Journal of computing and information technology
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  C01
    s0 : 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.
  C02
    s0 : 001D02B07D
  C02
    s0 : 001D02B04
  C03
    s0 : Navigabilité
    s5 : 06
  C03
    s0 : Navigability
    s5 : 06
  C03
    s0 : Navigabilidad
    s5 : 06
  C03
    s0 : Analyse syntaxique
    s5 : 07
  C03
    s0 : Syntactic analysis
    s5 : 07
  C03
    s0 : Análisis sintáxico
    s5 : 07
  C03
    s0 : Navigation information
    s5 : 08
  C03
    s0 : Information browsing
    s5 : 08
  C03
    s0 : Navegacíon informacíon
    s5 : 08
  C03
    s0 : Hypertexte
    s5 : 09
  C03
    s0 : Hypertext
    s5 : 09
  C03
    s0 : Hipertexto
    s5 : 09
  C03
    s0 : Métadonnée
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  C03
    s0 : Metadata
    s5 : 10
  C03
    s0 : Metadatos
    s5 : 10
  C03
    s0 : Texte
    s5 : 11
  C03
    s0 : Text
    s5 : 11
  C03
    s0 : Texto
    s5 : 11
  C03
    s0 : Marquage
    s5 : 18
  C03
    s0 : Tagging
    s5 : 18
  C03
    s0 : Marcación
    s5 : 18
  C03
    s0 : Mot clé
    s5 : 19
  C03
    s0 : Keyword
    s5 : 19
  C03
    s0 : Palabra clave
    s5 : 19
  C03
    s0 : Sémiologie
    s5 : 20
  C03
    s0 : Semiology
    s5 : 20
  C03
    s0 : Semiología
    s5 : 20
  C03
    s0 : Système hiérarchisé
    s5 : 23
  C03
    s0 : Hierarchical system
    s5 : 23
  C03
    s0 : Sistema jerarquizado
    s5 : 23
  C03
    s0 : .
    s4 : INC
    s5 : 82
  C03
    s0 : Base donnée très grande
    s4 : CD
    s5 : 96
  C03
    s0 : Very large databases
    s4 : CD
    s5 : 96
  C03
    s0 : Base de datos a gran escala
    s4 : CD
    s5 : 96
  C03
    s0 : Structure réseau
    s4 : CD
    s5 : 97
  C03
    s0 : Network structure
    s4 : CD
    s5 : 97
  C03
    s0 : Estructura de redes
    s4 : CD
    s5 : 97
  N21
    s1 : 065
  N44
    s1 : OTO
  N82
    s1 : OTO

Format Serveur
NO : PASCAL 12-0082778 INIST
ET : Improving the Navigability of Tagging Systems with Hierarchically Constructed Resource Lists and Tag Trails
AU : TRATTNER (Christoph)
AF : Knowledge Management Institute and Institute for Information Systems and Computer Media, Graz University of Technology/Autriche (1 aut.)
DT : Publication en série; Niveau analytique
SO : CIT. Journal of computing and information technology; ISSN 1330-1136; Croatie; Da. 2011; Vol. 19; No. 3; Pp. 155-167; Bibl. 36 ref.
LA : Anglais
EA : 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.
CC : 001D02B07D; 001D02B04
FD : Navigabilité; Analyse syntaxique; Navigation information; Hypertexte; Métadonnée; Texte; Marquage; Mot clé; Sémiologie; Système hiérarchisé; .; Base donnée très grande; Structure réseau
ED : Navigability; Syntactic analysis; Information browsing; Hypertext; Metadata; Text; Tagging; Keyword; Semiology; Hierarchical system; Very large databases; Network structure
SD : Navigabilidad; Análisis sintáxico; Navegacíon informacíon; Hipertexto; Metadatos; Texto; Marcación; Palabra clave; Semiología; Sistema jerarquizado; Base de datos a gran escala; Estructura de redes
LO : INIST-22962.354000505988540020
ID : 12-0082778

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         <s0> Navigability </s0>
         <s5> 06 </s5>
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       <fC03>
         <s0> Navigabilidad </s0>
         <s5> 06 </s5>
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       <fC03>
         <s0> Analyse syntaxique </s0>
         <s5> 07 </s5>
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       <fC03>
         <s0> Syntactic analysis </s0>
         <s5> 07 </s5>
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       <fC03>
         <s0> Análisis sintáxico </s0>
         <s5> 07 </s5>
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       <fC03>
         <s0> Navigation information </s0>
         <s5> 08 </s5>
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       <fC03>
         <s0> Information browsing </s0>
         <s5> 08 </s5>
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       <fC03>
         <s0> Navegacíon informacíon </s0>
         <s5> 08 </s5>
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       <fC03>
         <s0> Hypertexte </s0>
         <s5> 09 </s5>
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       <fC03>
         <s0> Hypertext </s0>
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         <s0> Hipertexto </s0>
         <s5> 09 </s5>
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       <fC03>
         <s0> Métadonnée </s0>
         <s5> 10 </s5>
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       <fC03>
         <s0> Metadata </s0>
         <s5> 10 </s5>
       </fC03>
       <fC03>
         <s0> Metadatos </s0>
         <s5> 10 </s5>
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       <fC03>
         <s0> Texte </s0>
         <s5> 11 </s5>
       </fC03>
       <fC03>
         <s0> Text </s0>
         <s5> 11 </s5>
       </fC03>
       <fC03>
         <s0> Texto </s0>
         <s5> 11 </s5>
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       <fC03>
         <s0> Marquage </s0>
         <s5> 18 </s5>
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       <fC03>
         <s0> Tagging </s0>
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       <fC03>
         <s0> Marcación </s0>
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       <fC03>
         <s0> Mot clé </s0>
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       <fC03>
         <s0> Keyword </s0>
         <s5> 19 </s5>
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       <fC03>
         <s0> Palabra clave </s0>
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         <s5> 20 </s5>
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       <fC03>
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         <s5> 20 </s5>
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       <fC03>
         <s0> Semiología </s0>
         <s5> 20 </s5>
       </fC03>
       <fC03>
         <s0> Système hiérarchisé </s0>
         <s5> 23 </s5>
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         <s0> Hierarchical system </s0>
         <s5> 23 </s5>
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         <s0> Sistema jerarquizado </s0>
         <s5> 23 </s5>
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         <s0> . </s0>
         <s4> INC </s4>
         <s5> 82 </s5>
       </fC03>
       <fC03>
         <s0> Base donnée très grande </s0>
         <s4> CD </s4>
         <s5> 96 </s5>
       </fC03>
       <fC03>
         <s0> Very large databases </s0>
         <s4> CD </s4>
         <s5> 96 </s5>
       </fC03>
       <fC03>
         <s0> Base de datos a gran escala </s0>
         <s4> CD </s4>
         <s5> 96 </s5>
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       <fC03>
         <s0> Structure réseau </s0>
         <s4> CD </s4>
         <s5> 97 </s5>
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       <fC03>
         <s0> Network structure </s0>
         <s4> CD </s4>
         <s5> 97 </s5>
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       <fC03>
         <s0> Estructura de redes </s0>
         <s4> CD </s4>
         <s5> 97 </s5>
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     <ET> Improving the Navigability of Tagging Systems with Hierarchically Constructed Resource Lists and Tag Trails </ET>
     <AU> TRATTNER (Christoph) </AU>
     <AF> Knowledge Management Institute and Institute for Information Systems and Computer Media, Graz University of Technology/Autriche (1 aut.) </AF>
     <DT> Publication en série; Niveau analytique </DT>
     <SO> CIT. Journal of computing and information technology; ISSN 1330-1136; Croatie; Da. 2011; Vol. 19; No. 3; Pp. 155-167; Bibl. 36 ref. </SO>
     <LA> Anglais </LA>
     <EA> 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. </EA>
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