Ontology highlight
ABSTRACT: Objectives
There exists a communication gap between the biomedical informatics community on one side and the computer science/artificial intelligence community on the other side regarding the meaning of the terms "semantic integration" and "knowledge representation". This gap leads to approaches that attempt to provide one-to-one mappings between data elements and biomedical ontologies. Our aim is to clarify the representational differences between traditional data management and semantic-web-based data management by providing use cases of clinical data and clinical research data re-representation. We discuss how and why one-to-one mappings limit the advantages of using Semantic Web Technologies (SWTs).Methods
We employ commonly used SWTs, such as Resource Description Frame
SUBMITTER: Bona JP
PROVIDER: S-EPMC6697506 | biostudies-literature | 2019 Aug
REPOSITORIES: biostudies-literature