WenZher

Comprehensive vertical search for healthcare domain

Liqiang Nie, Tao Li, Mohammad Akbari, Jialie Shen, Tat Seng Chua

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Abstract

Online health seeking has transformed the way of health knowledge exchange and reusability. The existing general and vertical health search engines, however, just routinely return lists of matched documents or question answer (QA) pairs, which may overwhelm the seekers or not sufficiently meet the seekers' expectations. Instead, our multilingual system is able to return one multi-faceted answer that is well-structured and precisely extracted from multiple heterogeneous healthcare sources. Further, should the seekers not be satisfied with the returned search results, our system can automatically route the unsolved questions to the professionals with relevant expertise.

Original languageEnglish
Title of host publicationSIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval
Place of PublicationQLD; Australia
PublisherAssociation for Computing Machinery (ACM)
Pages1245-1246
Number of pages2
ISBN (Print)9781450322591
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014 - Gold Coast, QLD, Australia
Duration: 6 Jul 201411 Jul 2014

Conference

Conference37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014
CountryAustralia
CityGold Coast, QLD
Period6/07/1411/07/14

Fingerprint

Health
Reusability
Search engines

Cite this

Nie, L., Li, T., Akbari, M., Shen, J., & Chua, T. S. (2014). WenZher: Comprehensive vertical search for healthcare domain. In SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1245-1246). QLD; Australia: Association for Computing Machinery (ACM). https://doi.org/10.1145/2600428.2611176
Nie, Liqiang ; Li, Tao ; Akbari, Mohammad ; Shen, Jialie ; Chua, Tat Seng. / WenZher : Comprehensive vertical search for healthcare domain. SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. QLD; Australia : Association for Computing Machinery (ACM), 2014. pp. 1245-1246
@inproceedings{ec386b3e462f495da735043a79b4504e,
title = "WenZher: Comprehensive vertical search for healthcare domain",
abstract = "Online health seeking has transformed the way of health knowledge exchange and reusability. The existing general and vertical health search engines, however, just routinely return lists of matched documents or question answer (QA) pairs, which may overwhelm the seekers or not sufficiently meet the seekers' expectations. Instead, our multilingual system is able to return one multi-faceted answer that is well-structured and precisely extracted from multiple heterogeneous healthcare sources. Further, should the seekers not be satisfied with the returned search results, our system can automatically route the unsolved questions to the professionals with relevant expertise.",
keywords = "Healthcare, Social platform, Structured knowledge, Vertical search",
author = "Liqiang Nie and Tao Li and Mohammad Akbari and Jialie Shen and Chua, {Tat Seng}",
year = "2014",
month = "1",
day = "1",
doi = "10.1145/2600428.2611176",
language = "English",
isbn = "9781450322591",
pages = "1245--1246",
booktitle = "SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval",
publisher = "Association for Computing Machinery (ACM)",
address = "United States",

}

Nie, L, Li, T, Akbari, M, Shen, J & Chua, TS 2014, WenZher: Comprehensive vertical search for healthcare domain. in SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), QLD; Australia, pp. 1245-1246, 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014, Gold Coast, QLD, Australia, 6/07/14. https://doi.org/10.1145/2600428.2611176

WenZher : Comprehensive vertical search for healthcare domain. / Nie, Liqiang; Li, Tao; Akbari, Mohammad; Shen, Jialie; Chua, Tat Seng.

SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. QLD; Australia : Association for Computing Machinery (ACM), 2014. p. 1245-1246.

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

TY - GEN

T1 - WenZher

T2 - Comprehensive vertical search for healthcare domain

AU - Nie, Liqiang

AU - Li, Tao

AU - Akbari, Mohammad

AU - Shen, Jialie

AU - Chua, Tat Seng

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Online health seeking has transformed the way of health knowledge exchange and reusability. The existing general and vertical health search engines, however, just routinely return lists of matched documents or question answer (QA) pairs, which may overwhelm the seekers or not sufficiently meet the seekers' expectations. Instead, our multilingual system is able to return one multi-faceted answer that is well-structured and precisely extracted from multiple heterogeneous healthcare sources. Further, should the seekers not be satisfied with the returned search results, our system can automatically route the unsolved questions to the professionals with relevant expertise.

AB - Online health seeking has transformed the way of health knowledge exchange and reusability. The existing general and vertical health search engines, however, just routinely return lists of matched documents or question answer (QA) pairs, which may overwhelm the seekers or not sufficiently meet the seekers' expectations. Instead, our multilingual system is able to return one multi-faceted answer that is well-structured and precisely extracted from multiple heterogeneous healthcare sources. Further, should the seekers not be satisfied with the returned search results, our system can automatically route the unsolved questions to the professionals with relevant expertise.

KW - Healthcare

KW - Social platform

KW - Structured knowledge

KW - Vertical search

UR - http://www.scopus.com/inward/record.url?scp=84904553592&partnerID=8YFLogxK

U2 - 10.1145/2600428.2611176

DO - 10.1145/2600428.2611176

M3 - Conference Paper published in Proceedings

SN - 9781450322591

SP - 1245

EP - 1246

BT - SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

PB - Association for Computing Machinery (ACM)

CY - QLD; Australia

ER -

Nie L, Li T, Akbari M, Shen J, Chua TS. WenZher: Comprehensive vertical search for healthcare domain. In SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. QLD; Australia: Association for Computing Machinery (ACM). 2014. p. 1245-1246 https://doi.org/10.1145/2600428.2611176