KBSET -- Knowledge-Based Support for Scholarly Editing and Text Processing
This work addresses the specific problem of improving efficiency and automation in scholarly editing for researchers and editors, but it appears incremental as it builds on existing techniques like LaTeX and Prolog.
The paper tackles the problem of scholarly editing by introducing KBSET, a system that integrates LaTeX with Prolog for semantics-oriented markup and workflow support, resulting in a practical tool for processing structured documents and identifying named entities.
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.