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This dissertation proposes an organizational architecture of place concepts that combines traditional and non-traditional data sources using a computational ontological approach. It aims to bridge
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01
Identify the domain of interest and the specific concepts within that domain.
02
Gather and organize relevant terms and synonyms that represent those concepts.
03
Define relationships between concepts, specifying how they interact or relate to one another.
04
Utilize an ontology editor or software tool to construct the ontology visually or textually.
05
Validate the ontology by checking for consistency and completeness within the defined relationships.
06
Document the ontology with clear definitions, examples, and usage guidelines.
07
Continuously update the ontology based on new findings, changes in the domain, and stakeholder feedback.

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Data scientists and analysts requiring structured frameworks for data integration.
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Ontology-based semantic modelling refers to the structuring of knowledge in a way that defines the relationships and properties of concepts within a specific domain. It utilizes ontologies to create a shared understanding and facilitate communication among systems and stakeholders.
Entities involved in data management, knowledge representation, and systems integration, such as researchers, organizations, and software developers, may be required to file ontology-based semantic modelling to align their data with established ontological standards.
To fill out ontology-based semantic modelling, one must define the key concepts, their relationships, and attributes within the ontology. This involves using ontology management tools to create, edit, and verify the model according to the specific requirements of the domain.
The purpose of ontology-based semantic modelling is to enable better data interoperability, enhance communication among systems, facilitate knowledge sharing, and improve the accuracy of data representation and retrieval by establishing a clear framework of concepts and their interrelations.
Information that must be reported includes the defined concepts, their properties, relationships, axioms, and any relevant metadata that explains the context and usage of the ontology within the domain it represents.
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