|Title||Semantic Screenplays: Preparing TEI for Linked Data|
|Publication Type||Conference Paper|
|Year of Publication||2010|
|Conference Name||Digital Humanities 2010|
|Keywords||Annotation, Multimedia, Ontology, OntoMedia, semantic web|
Scripts, whether for radio plays, theatre, or ﬁlm, are a rich source of data. As well as cast information and dialogue, they may include performance directions, locations, camera motions, sound effects, captions, or entrances and exits. The TEI Performance Texts module (http://www.tei-c.org/P5) provides a means to encode this information into an existing screenplay, together with more speciﬁc textual information such as metrical details.Meanwhile, Linked Data has become a major component of the Semantic Web. This is a set of best practices for publishing and connecting structured data on the Web, which has led to the creation of a global data space containing billions of assertions, known as the Web of Data (Bizer et al, 2009). Some of the most prominent datasets in this space include DBpedia, with more than 100 million assertions relating to (amongst others) people, places, and ﬁlms; LMDB (Linked Movie Database), with over three million ﬁlmic assertions; and LinkedGeoData, which has almost two billion geographical assertions.In this paper, we propose a means to support Linked Data in TEI, thus beneﬁtting from the wealth of information available on top of that which is provided by TEI. We describe the augmentation of TEI documents with RDFa (Resource Description Format in Attributes) to complement the annotated content with URIs and class information, and thence the transformation of this document into triples using our open source tei2onto conversion tool. Finally, we provide some case studies that make use of the resultant triples, and show how their compliance with the OntoMedia ontologies (Lawrence et al, 2006) allows for powerful research possibilities.