TY - GEN
T1 - Focused Query Expansion with Entity Cores for Patient-Centric Health Search
AU - Terolli, Erisa
AU - Ernst, Patrick
AU - Weikum, Gerhard
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85096566805&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85096566805&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-62419-4_31
DO - 10.1007/978-3-030-62419-4_31
M3 - Conference contribution
AN - SCOPUS:85096566805
SN - 9783030624187
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 547
EP - 564
BT - The Semantic Web – ISWC 2020 - 19th International Semantic Web Conference, 2020, Proceedings
A2 - Pan, Jeff Z.
A2 - Tamma, Valentina
A2 - d’Amato, Claudia
A2 - Janowicz, Krzysztof
A2 - Fu, Bo
A2 - Polleres, Axel
A2 - Seneviratne, Oshani
A2 - Kagal, Lalana
T2 - 19th International Semantic Web Conference, ISWC 2020
Y2 - 2 November 2020 through 6 November 2020
ER -