• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 4
  • Tagged with
  • 4
  • 4
  • 4
  • 4
  • 4
  • 4
  • 4
  • 4
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Annotating figurative language

Beyer, Stefan, Di Biase-Dyson, Camilla, Wagenknecht, Nina 20 April 2016 (has links) (PDF)
Whereas past and current digital projects in ancient language studies have been concerned with the annotation of linguistic elements and metadata, there is now an increased interest in the annotation of elements above the linguistic level that are determined by context – like figurative language. Such projects bring their own set of problems (the automatisation of annotation is more difficult, for instance), but also allow us to develop new ways of examining the data. For this reason, we have attempted to take an already annotated database of Ancient Egyptian texts and develop a complementary tagging layer rather than starting from scratch with a new database. In this paper, we present our work in developing a metaphor annotation layer for the Late Egyptian text database of Projet Ramsès (Université de Liège) and in so doing address more general questions: 1) How to ‚tailor-make’ annotation layers to fit other databases? (Workflow) 2) How to make annotations that are flexible enough to be altered in the course of the annotation process? (Project design) 3) What kind of potential do such layers have for integration with existing and future annotations? (Sustainability)
2

Trismegistos

Gheldof, Tom 20 April 2016 (has links) (PDF)
Trismegistos (TM, http://www.trismegistos.org) is a metadata platform for the study of texts from the Ancient World, coordinated and maintained by the KU Leuven research group of Ancient History. Originating from the Prosopographia Ptolemaica, TM was developed in 2005 as a database containing information about people mentioned in papyrus documents from Ptolemaic Egypt. In other related databases additional information about these texts was found: when they were written (dates), where they are stored (collections) and to which archive they belong (archives). The following years also epigraphic data were added to these databases. The TM platform has two important goals: firstly it functions as an aggregator of metadata for which it also links to other projects (e.g. Papyrological Navigator, Epigraphic Database Heidelberg), secondly it can be used as an identifying tool for all of its content such as Ancient World texts, places and people. With its unique identifying numbers and stable URI\'s, TM sets standards for and bridges the gap between different digital representations of Ancient World texts. In the future TM aims not only to expand its coverage, but also to provide new ways to study these ancient sources, for example via social network analysis trough its latest addition: Trismegistos networks ((http://www.trismegistos.org/network).
3

Annotating figurative language: another perspective for digital Altertumswissenschaften

Beyer, Stefan, Di Biase-Dyson, Camilla, Wagenknecht, Nina January 2016 (has links)
Whereas past and current digital projects in ancient language studies have been concerned with the annotation of linguistic elements and metadata, there is now an increased interest in the annotation of elements above the linguistic level that are determined by context – like figurative language. Such projects bring their own set of problems (the automatisation of annotation is more difficult, for instance), but also allow us to develop new ways of examining the data. For this reason, we have attempted to take an already annotated database of Ancient Egyptian texts and develop a complementary tagging layer rather than starting from scratch with a new database. In this paper, we present our work in developing a metaphor annotation layer for the Late Egyptian text database of Projet Ramsès (Université de Liège) and in so doing address more general questions: 1) How to ‚tailor-make’ annotation layers to fit other databases? (Workflow) 2) How to make annotations that are flexible enough to be altered in the course of the annotation process? (Project design) 3) What kind of potential do such layers have for integration with existing and future annotations? (Sustainability)
4

Trismegistos: dentifying and aggregating metadata of Ancient World texts

Gheldof, Tom January 2016 (has links)
Trismegistos (TM, http://www.trismegistos.org) is a metadata platform for the study of texts from the Ancient World, coordinated and maintained by the KU Leuven research group of Ancient History. Originating from the Prosopographia Ptolemaica, TM was developed in 2005 as a database containing information about people mentioned in papyrus documents from Ptolemaic Egypt. In other related databases additional information about these texts was found: when they were written (dates), where they are stored (collections) and to which archive they belong (archives). The following years also epigraphic data were added to these databases. The TM platform has two important goals: firstly it functions as an aggregator of metadata for which it also links to other projects (e.g. Papyrological Navigator, Epigraphic Database Heidelberg), secondly it can be used as an identifying tool for all of its content such as Ancient World texts, places and people. With its unique identifying numbers and stable URI\''s, TM sets standards for and bridges the gap between different digital representations of Ancient World texts. In the future TM aims not only to expand its coverage, but also to provide new ways to study these ancient sources, for example via social network analysis trough its latest addition: Trismegistos networks ((http://www.trismegistos.org/network).

Page generated in 0.0381 seconds