Integrating Functional Status Information into Knowledge Graphs to Support Self-Health Management  

作　　者：Mauro Dragoni Tania Bailoni Ivan Donadello Jean-Claude Martin Helena Lindgren 

机构地区：[1]Fondazione Bruno Kessler,Trento,Italy [2]Free University of Bolzano,Bolzano,Italy [3]LISN-CNRS,Universite Paris Saclay,Paris,France [4]Umea University,Umea,Sweden

出　　处：《Data Intelligence》2023年第3期636-662,共27页数据智能（英文）

基　　金：supported by the HORIZON 2020 HumanE-AI project(Grant 952026).

摘　　要：Functional Status Information(FSI)describes physical and mental wellness at the whole-person level.It includes information on activity performance,social role participation,and environmental and personal factors that affect the well-being and quality of life.Collecting and analyzing this information is critical to address the needs for caring for an aging global population,and to provide effective care for individuals with chronic conditions,multi-morbidity,and disability.Personal knowledge graphs(PKGs)represent a suitable way for meaning in a complete and structured way all information related to people's FSI and reasoning over them to build tailored coaching solutions supporting them in daily life for conducting a healthy living.In this paper,we present the development process related to the creation of a PKG by starting from the HeLis ontology in order to enable the design of an Al-enabled system with the aim of increasing,within people,the self-awareness of their own functional status.In particular,we focus on the three modules extending the HeLis ontology aiming to represent(i)enablers and(ii)barriers playing potential roles in improving(or deteriorating)own functional status and(iii)arguments driving the FSI collection process.Finally,we show how these modules have been instantiated into real-world scenarios.

关 键 词：Knowledge Graph Personal Healthcare Functional Status ENABLERS Barriers Arguments 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]