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Focused Query Expansion with Entity Cores for Patient-Centric Health Search

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The Semantic Web – ISWC 2020 (ISWC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12506))

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Abstract

The Web provides a plethora of contents about diseases, symptoms and treatments. Most notably, users turn to health forums to seek advice from doctors and from peers with similar cases. However, the benefit of forums mostly lies in community QA and browsing. Expressive querying for patient-centric needs is poorly supported by search engines. This paper overcomes this issue by enriching user queries with judiciously chosen entities and classes from a large knowledge graph. Candidate entities are extracted from the full text of user posts. To counter topical drift that would arise from picking all entities, we devise ECO, a novel method that computes a focused entity core for query expansion. Experiments with contents from health forums and clinical trials demonstrate substantial gains that ECO achieves over state-of-the-art baselines.

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Notes

  1. 1.

    https://pubmed.ncbi.nlm.nih.gov/.

  2. 2.

    http://knowlife.mpi-inf.mpg.de/.

  3. 3.

    https://www.elastic.co.

  4. 4.

    https://www.nlm.nih.gov/research/umls/.

  5. 5.

    https://stanfordnlp.github.io/CoreNLP/.

  6. 6.

    https://opennlp.apache.org/.

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Author information

Authors and Affiliations

  1. Max Planck Institute for Informatics, 66123, Saarbrücken, Germany

    Erisa Terolli & Gerhard Weikum

  2. Amazon, Berlin, Germany

    Patrick Ernst

Authors
  1. Erisa Terolli
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  2. Patrick Ernst
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  3. Gerhard Weikum
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Corresponding author

Correspondence to Erisa Terolli .

Editor information

Editors and Affiliations

  1. University of Edinburgh, Edinburgh, UK

    Jeff Z. Pan

  2. University of Liverpool, Liverpool, UK

    Valentina Tamma

  3. University of Bari, Bari, Italy

    Claudia d’Amato

  4. University of California, Santa Barbara, Santa Barbara, CA, USA

    Krzysztof Janowicz

  5. California State University, Long Beach, Long Beach, CA, USA

    Bo Fu

  6. Vienna University of Economics and Business, Vienna, Austria

    Axel Polleres

  7. Rensselaer Polytechnic Institute, Troy, NY, USA

    Oshani Seneviratne

  8. Massachusetts Institute of Technology, Cambridge, MA, USA

    Lalana Kagal

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Terolli, E., Ernst, P., Weikum, G. (2020). Focused Query Expansion with Entity Cores for Patient-Centric Health Search. In: Pan, J.Z., et al. The Semantic Web – ISWC 2020. ISWC 2020. Lecture Notes in Computer Science(), vol 12506. Springer, Cham. https://doi.org/10.1007/978-3-030-62419-4_31

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  • DOI: https://doi.org/10.1007/978-3-030-62419-4_31

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