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  • The ability to browse an information space in a structured way by exploiting similarities and dissimilarities between information objects is crucial for knowledge discovery. Knowledge maps use visualizations to gain insights into the structure of large-scale information spaces, but are still far away from being applicable for searching. The paper proposes a use case for enhancing search term recommendations by heat map visualizations of co-word relationships taken from indexing vocabulary. By contrasting areas of different “heat” the user is enabled to indicate mainstream areas of the field in question more easily. (author's abstract) (xsd:string)
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?:dateModified
  • 2014 (xsd:gyear)
?:datePublished
  • 2014 (xsd:gyear)
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  • en (xsd:string)
?:issn
  • 1613-0073 ()
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  • How can heat maps of indexing vocabularies be utilized for information seeking purposes? (xsd:string)
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?:publicationType
  • Sammelwerksbeitrag (xsd:string)
  • in_proceedings (en)
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?:sourceCollection
  • Knowledge Maps and Information Retrieval : Proceedings of the First Workshop on Knowledge Maps and Information Retrieval (xsd:string)
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  • GESIS-SSOAR (xsd:string)
  • In: Knowledge Maps and Information Retrieval : Proceedings of the First Workshop on Knowledge Maps and Information Retrieval, Köln, 2014, 47-52 (xsd:string)
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?:urn
  • urn:nbn:de:0168-ssoar-46816-7 ()
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  • 1311 (xsd:string)