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The FOCALE approach recommends integrating models and ontologies.
The FOCALE architecture is a specific architecture that uses models and ontologies to represent knowledge.
In addition, the lack of widely shared models and ontologies for clinical research informatics and health information technology hampers the accurate assessment of investigators' needs and complicates the efficient allocation of crucial resources for research projects, ultimately affecting the quality and reliability of research.
FOCALE uses a combination of information/data models and ontologies [ 15].
One of the main advantages of the approach adopted by SEEK is that it encapsulates the process of standardising and annotating data into commonly used tools, and shields the complexities of metadata models and ontologies from the users.
The field of data and resource integration within bioinformatics has received significant attention over the past decade, with standardization efforts falling into three categories: information standards, data models and ontologies.
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GIS models and ontology are also combined to form rich media for representing dynamic data and knowledge.
By applying a use case-driven iterative methodology, we developed information models and ontology to represent the content structure of the recent National Climate Assessment draft report and its associated provenance information.
There are several ways of modelling context information in a variety of context-aware systems [28] such as key-value models, mark-up schema models, graphical models, object-oriented models, logic-based models and ontology-based models.
The next phase of our research involves formalizing our research approach through the evaluation, selection, and application of relevant models (such as the OAIS Reference Model) and ontologies (such as the SWO).
This paper develops a Linked Data model and ontologies to facilitate the sharing of logs that support privacy auditing and information accountability among multiple applications and participants.
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