Restructuring a Taxonomy of Literary Themes and Motifs for More Efficient Querying
In this paper we describe ongoing work in the restructuring of a tagset originally organised as a taxonomy and used to annotate literary themes and motifs in a corpus of classical works of poetry from a number of different traditions. We show how such a tagset can be rendered more efficient and useful through the appropriation of ideas and techniques from lexical semantics and ontology design. The newly redesigned tagset is described with examples showing how the new design is much more expressive than the old taxonomy; furthermore, an example query is described in order to demonstrate how more refined semantic searches can be carried using the new version of the taxonomy. The final result is, we hope, a resource that will be useful not only for the specific project for which it was developed but one that is well-designed and well-documented enough to be of use for other similar semantic annotation tasks.
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BIZZONI, Yuri, Federico Boschetti, Riccardo Del Gratta, Harry Diakoff, Monica Monachini, and Gregory Crane (2014). “The Making of Ancient Greek WordNet.” Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14). Ed. Nicoletta Calzolari et al.: ELRA, Reykjavik, Iceland : 1140–1147.
CRUSE, D. Alan (1986). Lexical Semantics. Cambridge: Cambridge University Press.
DACOS, Marin. “Manifeste Des Digital Humanities.” Billet.. 13 Mar. 2016. http://tcp.hypotheses.org/318.
GANGEMI, Aldo, Nicola Guarino, Claudio Masolo, Alessandro Oltramari, Luc Schneider (2002). “Sweetening Ontologies with DOLCE.” Knowledge Engineering and Knowledge Management: Ontologies and the Semantic Web. Lecture Notes in Computer Science 2473. Ed. Asunción Gómez-Pérez and V. Richard Benjamins. Springer Berlin Heidelberg. 166–181.13 Mar. 2016. link.springer.com.
GUARINO, Nicola, Christopher A. Welty (2009). “An Overview of OntoClean.” Handbook on Ontologies. International Handbooks on Information Systems. Ed. Steffen Staab and Rudi Studer. Springer Berlin Heidelberg. 201–220. 13 Mar. 2016. link.springer.com.
MCGILLIVRAY, Barbara (2010). “Automatic Selectional Preference Acquisition for Latin Verbs.” Proceedings of the ACL 2010 Student Research Workshop. ACM Digital Library. Stroudsburg, PA, USA: Association for Computational Linguistics. 73–78.
MILLER, George A (1995). “WordNet: A Lexical Database for English.” Commun. ACM Digital Library. ACM 38.11: 39–41.
MINOZZI, Stefano (2009). “The Latin WordNet Project.” Latin Linguistics Today. Akten Des 15. Internationalem Kolloquiums Zur Lateinischen Linguistik. Ed. Peter Anreiter and Manfred Kienpointner. Vol. 137. Innsbruck, Austria: 707–716.
VENDLER, Zeno (1957). “Verbs and Times.” Philosophical Review 66.2: 143–160.
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