It is an open and extensible semantic model that identifies comics using two components: (a) the form and (b) the container. The final result is an RDFS/OWL Web vocabulary for comics, titled the Comic Book Ontology (CBO). Examples were tested for their ability to produce valid, meaningful RDF data from HTML content that was consistent with the ontology.
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A review of existing information systems and an analysis of their content was conducted in order to address the usability of the vocabulary, and inform the design of a series of modularized metadata application profiles using the core schema as a base.
The second phase of the study then focused on publishing Linked Data using HTML/RDFa. A workflow was then developed to convert common CSV data to XML and RDF/XML, replacing common values with LOD URIs using XSLT. In the initial phase, reference resources and example materials were collected and consulted to develop a representative domain model and core schema.
In an attempt to realize this opportunity, this thesis presents a case study for the development of a domain ontology for comic books and comic book collections. Semantic Web technologies and standards represent an opportunity to connect these resources using Linked Data. Information about the various resources, concepts, and entities in the world of comics can be found in a wide range of systems, including those of libraries, archives, and museums, as well as the records of independent research projects.
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