Hl7-fhir-based contsys formal ontology for enabling continuity of care data interoperability
The rapid advancement of digital technologies and recent global pandemic-like scenarios
have pressed our society to reform and adapt health and social care toward personalizing …
have pressed our society to reform and adapt health and social care toward personalizing …
Stratified data integration
We propose a novel approach to the problem of semantic heterogeneity where data are
organized into a set of stratified and independent representation layers, namely: conceptual …
organized into a set of stratified and independent representation layers, namely: conceptual …
Development of an interoperable-integrated care service architecture for intellectual disability services: an Irish case study
Abstract The Center for eIntegrated Care (CeIC) in Dublin City University is a research
centre with a mission to advance eIntegrated care in order to improve citizen health and …
centre with a mission to advance eIntegrated care in order to improve citizen health and …
[PDF][PDF] Conceptually Disentangled Classificatory Ontologies.
In mainstream knowledge organization, classificatory ontologies are widely employed for
classifying, annotating and searching for data specific to a particular domain. The key …
classifying, annotating and searching for data specific to a particular domain. The key …
FHIR Based ContSys Ontology to Enable Continuity of Care Data Interoperability
In the midst of a global pandemic, perspectives on how digital can enhance healthcare
service delivery and workflow to address the global crisis is underway. Action plans collating …
service delivery and workflow to address the global crisis is underway. Action plans collating …
An Architecture and a Methodology Enabling Interoperability within and across Universities
We propose a general methodology and an infrastructure which allows to achieve
interoperability within the same university and across universities. The former goal is …
interoperability within the same university and across universities. The former goal is …
Representation heterogeneity
F Giunchiglia, M Bagchi - arXiv preprint arXiv:2207.01091, 2022 - arxiv.org
Semantic Heterogeneity is conventionally understood as the existence of variance in the
representation of a target reality when modelled, by independent parties, in different …
representation of a target reality when modelled, by independent parties, in different …
iTelos—Case Studies in Building Domain-Specific Knowledge Graphs
The construction of a domain-specific knowledge graphs is a complex task requiring the
synergistic work of domain experts, knowledge engineers, and data scientists. The goal of …
synergistic work of domain experts, knowledge engineers, and data scientists. The goal of …
LiveData--A Worldwide Data Mesh for Stratified Data
Data reuse is fundamental for reducing the data integration effort required to build data
supporting new applications, especially in data scarcity contexts. However, data reuse …
supporting new applications, especially in data scarcity contexts. However, data reuse …
CSSDM Ontology to Enable Continuity of Care Data Interoperability
The rapid advancement of digital technologies and recent global pandemic scenarios have
led to a growing focus on how these technologies can enhance healthcare service delivery …
led to a growing focus on how these technologies can enhance healthcare service delivery …