research-article

A linked data approach to care coordination

Authors:

Spyros Kotoulas,

Marco Luca Sbodio,

Martin Stephenson,

Pierpaolo Tommasi,

Pol Mac AonghusaAuthors Info & Claims

HT '14: Proceedings of the 25th ACM conference on Hypertext and social media

Pages 77 - 87

https://doi.org/10.1145/2631775.2631807

Published: 01 September 2014 Publication History

Abstract

The success of a society is often judged by its ability to support the most vulnerable. Supporting the most vulnerable individuals is extremely challenging from an information needs perspective, since it requires data from numerous domains and systems, including Social Care, Healthcare, Public Safety and Juridical systems. Information sharing on this scale gives rise to scientific and technical challenges with regard to data representation, access, integration and retrieval granularity. This is a practice-oriented paper presenting a Linked Data-based approach that is uniquely positioned to access and surface information across domains and data sources using a combination of vulnerability indexes and contextual exploration. We apply this approach on a set of enterprise systems from IBM to develop an information sharing architecture and prototype for Care Coordination with a focus on Social Care and Healthcare. We report on expert feedback and user studies that indicate that our approach indeed reduces the time required to gain some business insight while maintaining the flexibility of a Linked Data-based integration approach.

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Cited By

Seniutis MPetružytė DBaltrūnaitė MVainauskaitė SPetkevičius L(2021)The Impact of Information System on Interactions of Child Welfare Professionals with Managers and ClientsSustainability10.3390/su1312676513:12(6765)Online publication date: 15-Jun-2021
https://doi.org/10.3390/su13126765
De Santo AHolzer ABernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Interacting with Linked Data: A Survey from the SIGCHI PerspectiveExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3382909(1-12)Online publication date: 25-Apr-2020
https://dl.acm.org/doi/10.1145/3334480.3382909

Index Terms

A linked data approach to care coordination
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
2. Theory of computation
  1. Logic

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Information

Published In

cover image ACM Conferences

HT '14: Proceedings of the 25th ACM conference on Hypertext and social media

September 2014

346 pages

ISBN:9781450329545

DOI:10.1145/2631775

General Chairs:
Leo Ferres
University of Concepción, Chile
,
Gustavo Rossi
University of La Plata, Argentina
,
Program Chairs:
Virgilio Almeida
Federal University of Minas Gerais, Brazil
,
Eelco Herder
L3S Research Center, Germany

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 2014

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HT '14

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SIGWEB

HT '14: 25th ACM Conference on Hypertext and Social Media

September 1 - 4, 2014

Santiago, Chile

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HT '14 Paper Acceptance Rate 49 of 86 submissions, 57%;

Overall Acceptance Rate 378 of 1,158 submissions, 33%

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Cited By

Seniutis MPetružytė DBaltrūnaitė MVainauskaitė SPetkevičius L(2021)The Impact of Information System on Interactions of Child Welfare Professionals with Managers and ClientsSustainability10.3390/su1312676513:12(6765)Online publication date: 15-Jun-2021
https://doi.org/10.3390/su13126765
De Santo AHolzer ABernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Interacting with Linked Data: A Survey from the SIGCHI PerspectiveExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3382909(1-12)Online publication date: 25-Apr-2020
https://dl.acm.org/doi/10.1145/3334480.3382909

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