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.
- Abstract viewed = 80 times
- HTML viewed = 39 times
- PDF viewed = 34 times
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.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
MATLIT embraces online publishing and open access to back issues. Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 International (CC BY-NC-ND 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. The article can be quoted but not changed and presented differently.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
- A CC licensing information in a machine-readable format is embedded in all articles published by MATLIT.
NonCommercial — You may not use the material for commercial purposes.
NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
No additional restrictions — You may not apply legal terms or technological measuresthat legally restrict others from doing anything the license permits.
- You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
- No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.