Knowledge Processes and Ontologies
IEEE Intelligent Systems
Ontological Engineering
Linked Data
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The uptake of Linked Data (LD) has promoted the proliferation of datasets and their associated ontologies for describing different domains. Particular LD development characteristics such as agility and web-based architecture necessitate the revision, adaption, and lightening of existing methodologies for ontology development. This thesis proposes a lightweight method for ontology development in an LD context which will be based in data-driven agile developments, existing resources to be reused, and the evaluation of the obtained products considering both classical ontological engineering principles and LD characteristics.