Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
2014
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, Vertical Search, Structured Knowledge, SocialPlatform
Discipline
Databases and Information Systems
Publication
SIGIR '14: Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval: July 6-11, 2014, Gold Coast, Australia
First Page
1245
Last Page
1246
ISBN
9781450322577
Identifier
10.1145/2600428.2611176
Publisher
ACM
City or Country
New York
Citation
Nie, Liqiang; Li, Tao; Akbari, Mohammad; SHEN, Jialie; and CHUA, Tat-Seng.
WenZher: Comprehensive Vertical search for Healthcare Domain. (2014). SIGIR '14: Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval: July 6-11, 2014, Gold Coast, Australia. 1245-1246.
Available at: https://ink.library.smu.edu.sg/sis_research/2511
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://dx.doi.org/10.1145/2600428.2611176