KBSET -- Knowledge-Based Support for Scholarly Editing and Text Processing
Artificial Intelligence
2019-08-30 v1 Computation and Language
Abstract
KBSET supports a practical workflow for scholarly editing, based on using LaTeX with dedicated commands for semantics-oriented markup and a Prolog-implemented core system. Prolog plays there various roles: as query language and access mechanism for large Semantic Web fact bases, as data representation of structured documents and as a workflow model for advanced application tasks. The core system includes a LaTeX parser and a facility for the identification of named entities. We also sketch future perspectives of this approach to scholarly editing based on techniques of computational logic.
Cite
@article{arxiv.1908.11135,
title = {KBSET -- Knowledge-Based Support for Scholarly Editing and Text Processing},
author = {Jana Kittelmann and Christoph Wernhard},
journal= {arXiv preprint arXiv:1908.11135},
year = {2019}
}
Comments
Part of DECLARE 19 proceedings