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WebMap - Large Language Model-assisted Semantic Link Induction in the Web

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Innovations for Community Services (I4CS 2024)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2109))

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Abstract

Carrying out research tasks is only inadequately supported, if not hindered, by current web search engines. This paper therefore proposes functional extensions of WebMap, a semantically induced overlay linking structure on the web to inherently facilitate research activities. These add-ons support the dynamic determination and regrouping of document clusters, the creation of a semantic signpost in the web, and the interactive tracing of topics back to their origins.

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Authors and Affiliations

  1. Georgia State University, Atlanta, GA, USA

    Shiraj Pokharel & Mario M. Kubek

  2. FernUniversität in Hagen, Hagen, Germany

    Georg P. Roßrucker

Authors
  1. Shiraj Pokharel
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  2. Georg P. Roßrucker
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  3. Mario M. Kubek
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Corresponding author

Correspondence to Shiraj Pokharel .

Editor information

Editors and Affiliations

  1. Maastricht University, Maastricht, The Netherlands

    Frank Phillipson

  2. Deutsche Telekom Technology & Innovation, Darmstadt, Germany

    Gerald Eichler

  3. University of Applied Sciences Jena, Jena, Germany

    Christian Erfurth

  4. University of Hagen, Hagen, Germany

    Günter Fahrnberger

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Pokharel, S., Roßrucker, G.P., Kubek, M.M. (2024). WebMap - Large Language Model-assisted Semantic Link Induction in the Web. In: Phillipson, F., Eichler, G., Erfurth, C., Fahrnberger, G. (eds) Innovations for Community Services. I4CS 2024. Communications in Computer and Information Science, vol 2109. Springer, Cham. https://doi.org/10.1007/978-3-031-60433-1_8

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  • DOI: https://doi.org/10.1007/978-3-031-60433-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-60432-4

  • Online ISBN: 978-3-031-60433-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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