Assembling four Open Web Search Components

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Contributors

  • Linda Erben - , TUD Dresden University of Technology (Author)
  • Maria Hampel - , TUD Dresden University of Technology (Author)
  • Malte Christian Kuns - , TUD Dresden University of Technology (Author)
  • Vincent Melisch - , TUD Dresden University of Technology (Author)
  • Per Natzschka - , TUD Dresden University of Technology (Author)
  • Wilhelm Pertsch - , Chair of Databases (Author)
  • Lina Razouk - , TUD Dresden University of Technology (Author)
  • Reiner Stolle - , TUD Dresden University of Technology (Author)
  • Robert Thomas Thoss - , TUD Dresden University of Technology (Author)
  • Tuan Giang Trinh - , TUD Dresden University of Technology (Author)
  • Julius Gonsior - , Chair of Databases (Author)
  • Anja Reusch - , Chair of Databases (Author)

Abstract

In this work, we present the submission of TU Dresden to WOWS 2024. Four student teams assembled different approaches for Genre Classification, Text Snippet Extraction, Query Expansion, and Text Features. Each implemented component integrates seamlessly into the open web search ecosystem. We present each approach alongside a short evaluation of possible use cases, and hope that our submission will contain viable building blocks for future research to be build on top.

Details

Original languageEnglish
Title of host publicationWOWS 2024 - Workshop on Open Web Search 2024
Pages73-93
Number of pages21
Volume3689
Publication statusPublished - 2024
Peer-reviewedYes

Publication series

SeriesCEUR Workshop Proceedings
Volume3689
ISSN1613-0073

Workshop

Title1st International Workshop on Open Web Search
Abbreviated titleWOWS 2024
Conference number1
Duration28 March 2024
Website
CityGlasgow
CountryUnited Kingdom

External IDs

ORCID /0000-0002-5985-4348/work/174432426

Keywords

ASJC Scopus subject areas

Keywords

  • Genre Classification, Information Retrieval, Open Web Search, Query Expansion, Text Features, Text Snippet Extraction