Evaluation of search methods on community documents

By Kushagra Singh Bisen, Sara Assefa Alemayehu, Pierre Maret, Alexandra Creighton, Rachel Gorman, Bushra Kundi, Thumeka Mgwgwi, Fabrice Muhlenbach, Serban Dinca-Panaitescu, Dennis Diefenbach, Kunpeng Guo, Christo El Morr

Abstract

Searching for domain-specific information on the web is tough. Community documents are therefore made searchable with a dedicated search platform. Search Methods employed on a document corpora are often evaluated over the aspect of efficiency and not focusing on the often-overlooked user experience. In the paper, we present an evaluation of search methods over domain-specific document corpora over search methods. The document corpora are represented in RDF as well as freetext. We describe the search methods as well as present the evaluation environment prepared. Moreover, we present the result of the user study to understand the experience of a user with the search methods.

Publication Details

• Venue: MTSR 2022
• Keywords : Meta-Data, Domain-Specific-Documents, Question-Answering, Information-Retrieval, UEQ, Human-Computer-Interaction
• Read the full paper online at Springer Nature.
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• Cite the work with bibtex as,

@inproceedings{singh2022evaluation,
  title={Evaluation of search methods on community documents},
  author={Singh Bisen, Kushagra and Alemayehu, Sara Assefa and Maret, Pierre and Creighton, Alexandra and Gorman, Rachel and Kundi, Bushra and Mgwgwi, Thumeka and Muhlenbach, Fabrice and Dinca-Panaitescu, Serban and El Morr, Christo},
  booktitle={Research Conference on Metadata and Semantics Research},
  pages={39--49},
  year={2022},
  organization={Springer}
}

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