AICLFeb 24, 2020

KBSET -- Knowledge-Based Support for Scholarly Editing and Text Processing with Declarative LaTeX Markup and a Core Written in SWI-Prolog

arXiv:2002.10329v13 citations
AI Analysis

This tool addresses the problem of streamlining scholarly editing workflows for researchers and editors, particularly in historical correspondence projects, but it appears incremental as it builds on existing technologies like LaTeX and Prolog.

KBSET is an environment that provides support for scholarly editing, offering a practical tool for developing editions of correspondences from source to PDF/HTML and a prototypical tool for experimenting with automated named entity recognition in editions.

KBSET is an environment that provides support for scholarly editing in two flavors: First, as a practical tool KBSET/Letters that accompanies the development of editions of correspondences (in particular from the 18th and 19th century), completely from source documents to PDF and HTML presentations. Second, as a prototypical tool KBSET/NER for experimentally investigating novel forms of working on editions that are centered around automated named entity recognition. KBSET can process declarative application-specific markup that is expressed in LaTeX notation and incorporate large external fact bases that are typically provided in RDF. KBSET includes specially developed LaTeX styles and a core system that is written in SWI-Prolog, which is used there in many roles, utilizing that it realizes the potential of Prolog as a unifying language.

Foundations

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