12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China

Research Article

KnowHealth: A Knowledge Graph based Question-Answer Platform for Elderly People

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  • @INPROCEEDINGS{10.4108/eai.29-6-2019.2282866,
        author={Chunshan  Li and Shaoshi  Hang and Dianhui  Chu and Hongzhen  Zheng and Xin  Hu},
        title={KnowHealth: A Knowledge Graph based Question-Answer Platform for Elderly People},
        proceedings={12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China},
        publisher={EAI},
        proceedings_a={MOBIMEDIA},
        year={2019},
        month={6},
        keywords={knowledge graph aged diseases information management knowledge extraction question answering platform},
        doi={10.4108/eai.29-6-2019.2282866}
    }
    
  • Chunshan Li
    Shaoshi Hang
    Dianhui Chu
    Hongzhen Zheng
    Xin Hu
    Year: 2019
    KnowHealth: A Knowledge Graph based Question-Answer Platform for Elderly People
    MOBIMEDIA
    EAI
    DOI: 10.4108/eai.29-6-2019.2282866
Chunshan Li1,*, Shaoshi Hang1, Dianhui Chu1, Hongzhen Zheng1, Xin Hu1
  • 1: Harbin Institute of Technology
*Contact email: lichunshan.hit@gmail.com

Abstract

Nowadays, population aging has become a prominent problem all over the world, which brings new challenge to manage multi-type and multi-relation health data from elderly. Existing approaches store those complex data in traditional relational database, which lack support of relation retrieval and is hard to answer elderly's semantic query. In this paper, we design and implement a knowledge graph based question-answer platform (KnowHealth) to manage those health data, which can help the elderly know their health condition better, Specifically, we propose an ontology definition which can describes the entities and relations in aged disease domain. Based on the ontology, we crawl and extract health related information from different input sources. Then, entities and relation extraction methods can be used to construct a knowledge graph. Finally, we completed a historical behavior driven question-answering platform to serve query for elderly. By analyzing and extending intention of questions, answer can be retrieved and reasoned more accurately.