A Reuse-Based Lightweight Method for Developing Linked Data Ontologies and Vocabularies
نویسنده
چکیده
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.
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تاریخ انتشار 2012