Relational data modelling of textual corpora: the Skaldic Project and its extensions

Tarrin Wills (Corresponding Author)

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Skaldic poetry is a highly complex textual phenomenon both in terms of the intricacy of the poetry and its contextual environment. XML applications such as that of the Text Encoding Initiative provide a means of semantic representation of some of these complexities. XML, however, has limitations in representing semantic relationships that do not conform to the tree model. This paper presents the relational data model as a way of representing the structure of skaldic texts and their contextual environment. The relational data model raises both problems and possibilities for this type of project. The main problem addressed here is the representation of the syntagmatic structures of texts in a data model that is not intrinsically ordered. The advantages are also explored, including networked data editing and management, quantitative linguistic analysis, dynamic representation of the data, and the ability to extend the structure and reuse data for related projects without creating redundancy.
Original languageEnglish
Pages (from-to)294-313
Number of pages20
JournalLiterary and Linguistic Computing
Volume30
Issue number2
Early online date11 Aug 2013
DOIs
Publication statusPublished - 1 Jun 2015

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Data structures
XML
Semantics
Linguistics
Dynamic analysis
poetry
Redundancy
semantics
redundancy
Modeling
linguistics
Poetry
Contextual
ability
management
Quantitative Linguistics
Linguistic Analysis
Reuse
Syntagmatic Structure
Encoding

Cite this

Relational data modelling of textual corpora : the Skaldic Project and its extensions. / Wills, Tarrin (Corresponding Author).

In: Literary and Linguistic Computing, Vol. 30, No. 2, 01.06.2015, p. 294-313.

Research output: Contribution to journalArticle

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