Student Research: Sean Petiya

Building a Semantic Web of Comics:
Publishing Linked Data in HTML/RDFa Using a Comic Book Ontology
and Metadata Application Profiles

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. Semantic Web technologies and standards represent an opportunity to connect these resources using Linked Data. 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. In the initial phase, reference resources and example materials were collected and consulted to develop a representative domain model and core schema. A workflow was then developed to convert common CSV data to XML and RDF/XML, replacing common values with LOD URIs using XSLT. The second phase of the study then focused on publishing Linked Data using HTML/RDFa. 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. Examples were tested for their ability to produce valid, meaningful RDF data from HTML content that was consistent with the ontology. The final result is an RDFS/OWL Web vocabulary for comics, titled the Comic Book Ontology (CBO). The final report of this study and all related products can be downloaded using the links below.

Thesis Downloads & Links

Petiya, S. (2014). Building a Semantic Web of comics: Publishing Linked Data in HTML/RDFa using a comic book ontology and metadata application profiles. (Electronic Thesis). [PDF]

• OWL Ontology: Comic Book Ontology

• XML Schema: Comic Book Schema (XSD)

Petiya, S. (2014). Converting personal comic book collection records to Linked Data. In W. Moen & A. Rushing (Eds.), Proceedings of the International Conference on Dublin Core and Metadata Applications 2014 (pp. 222-224). Austin, TX: Dublin Core Metadata Initiative. [PDF]

DCMI 2014 Conference Poster Abstract

DCMI 2014 Conference Poster Image

Other Projects & Links

Baker, T., Coyle, K., & Petiya, S. (2014). Multi-entity models of resource description in the Semantic Web: A comparison of FRBR, RDA, and BIBFRAME. Library Hi Tech, 32(4), 562-582. doi:10.1108/LHT-08-2014-0081 [Open Access Preprint]

• Web Repository: Multi-Entity Models of Resource Description in the Semantic Web: Annotated Examples, Methodology, and Results

• Blog/Discussion: Multi-Entity Models... Baker, Coyle, Petiya

• Awarded Library Hi-Tech "Outstanding Paper 2015" by Emerald Group Publishing

This work was supported by a grant from IMLS. It is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. reserved.