TY - JOUR N1 - This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article?s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ TI - Towards organizing health knowledge on community-based health services VL - 2016 AV - public Y1 - 2016/11/17/ JF - EURASIP Journal on Bioinformatics and Systems Biology KW - Community question-answering KW - Consumer health information KW - Information organization KW - Information retrieval A1 - Akbari, M A1 - Hu, X A1 - Nie, L A1 - Chua, T-S ID - discovery10050911 N2 - Online community-based health services accumulate a huge amount of unstructured health question answering (QA) records at a continuously increasing pace. The ability to organize these health QA records has been found to be effective for data access. The existing approaches for organizing information are often not applicable to health domain due to its domain nature as characterized by complex relation among entities, large vocabulary gap, and heterogeneity of users. To tackle these challenges, we propose a top-down organization scheme, which can automatically assign the unstructured health-related records into a hierarchy with prior domain knowledge. Besides automatic hierarchy prototype generation, it also enables each data instance to be associated with multiple leaf nodes and profiles each node with terminologies. Based on this scheme, we design a hierarchy-based health information retrieval system. Experiments on a real-world dataset demonstrate the effectiveness of our scheme in organizing health QA into a topic hierarchy and retrieving health QA records from the topic hierarchy. SN - 1687-4145 UR - https://doi.org/10.1186/s13637-016-0053-x ER -