Paper Info
Title
Matching Ontologies to HL7 FHIR Towards Their Syntactic and Semantic Similarity.
Abstract
Current medical systems need to be able to communicate complex and detailed medical data securely and efficiently. However, the quantity of available healthcare data is rising rapidly, far exceeding the capacity to deliver personal or public health benefits from analyzing this data. Thus, a substantial overhaul of methodology is required to address the real complexity of health. This can be achieved by constructing medical domain ontologies for representing medical terminologies, considered to be a difficult task, requiring a profound analysis of the structure and the concepts of medical terminologies. In this paper, a mechanism is presented for constructing healthcare ontologies, while matching them to HL7 FHIR Resources ontologies both in terms of syntactic and semantic similarity, in order to understand their nature and translate them into a common standard to improve the quality of patient care, research, and health service management.
Year
Venue
Keywords
2018
ICIMTH
HL7 FHIR,Healthcare interoperability,ontologies,ontology matching
Field
DocType
Volume
Semantic similarity,Ontology (information science),Computer science,Natural language processing,Artificial intelligence,Syntax
Conference
251
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Athanasios Kiourtis102.37
Argyro Mavrogiorgou202.37
Dimosthenis Kyriazis335153.16