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

Erisa Terolli, Patrick Ernst, Gerhard Weikum

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationThe Semantic Web – ISWC 2020 - 19th International Semantic Web Conference, 2020, Proceedings
EditorsJeff Z. Pan, Valentina Tamma, Claudia d’Amato, Krzysztof Janowicz, Bo Fu, Axel Polleres, Oshani Seneviratne, Lalana Kagal
Pages547-564
Number of pages18
DOIs
StatePublished - 2020
Event19th International Semantic Web Conference, ISWC 2020 - Athens, Greece
Duration: 2 Nov 20206 Nov 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12506 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Semantic Web Conference, ISWC 2020
Country/TerritoryGreece
CityAthens
Period2/11/206/11/20

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