KBSET -- Knowledge-Based Support for Scholarly Editing and Text Processing

TL;DR

KBSET is a system that enhances scholarly editing by integrating LaTeX with semantic markup, a Prolog core for querying and document management, and future plans involving computational logic techniques.

Contribution

It introduces a novel workflow combining LaTeX, semantic markup, and Prolog for improved scholarly editing and text processing.

Findings

Supports semantic-oriented markup in LaTeX documents

Uses Prolog for querying Semantic Web data and document structure

Includes a LaTeX parser and named entity recognition

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.