An Exploration of Retrieval-Enhancing Methods for Integrated Search in a Digital Library

Diana Ransgaard Sørensen, Toine Bogers, Birger Larsen

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review


Integrated search is defined as searching across different document types and representations simultaneously, with the goal of presenting the user with a single ranked result list containing the optimal mix of document types. In this paper, we compare various approaches to integrating three different types of documents (bibliographic records for articles and books as well as full-text articles) using the iSearch collection: combining all document types in a single index, weighting the different document types using priors, and using collection fusion techniques to merge the retrieval results on three separate indexes corresponding to each of the document types. We find that a properly optimized retrieval model on a single combined index containing all documents without any special treatment performs no worse than our weighting and fusion methods, suggesting that more work is needed on alternative approaches to integrated search.
Original languageEnglish
Title of host publicationProceedings of the ECIR 2012 Workshop on Task-Based and Aggregated Search (TBAS2012)
EditorsBirger Larsen, Christina Lioma, Arjen P. de Vries
Number of pages5
PublisherAssociation for Computing Machinery
Publication date1 Apr 2012
Publication statusPublished - 1 Apr 2012
Externally publishedYes


  • Integrated search
  • Document retrieval
  • Full-text articles
  • Bibliographic records
  • Collection fusion
  • Single index
  • Retrieval optimization


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