Scenes-and-Frames Semantics and Its Possibilities in Building a Knowledge Database of the Slovak Language

This paper presents the theoretical foundations and initial implementation of the SENSE (Semantic Analysis of the Slovak Language) research project, conducted jointly by the Ľ. Štúr Institute of Linguistics of the Slovak Academy of Sciences and Xolution.

The research explores the integration of Scenes-and-Frames Semantics, FrameNet, and Slovak valency linguistics to develop a declarative knowledge database for semantic analysis of Slovak texts. It introduces an experimental semantic analyzer combining morphological and syntactic processing, Augmented Transition Networks (ATN), semantic frames, taxonomies, and rule-based inference.

The proposed approach aims to transform natural language into structured, machine-interpretable semantic representations, supporting explainable language understanding, knowledge modeling, and future neuro-symbolic AI applications.