Authors:
Radosław P. Katarzyniak
1
;
Wojciech A. Lorkiewicz
1
and
Ondrej Krejcar
2
Affiliations:
1
Wroclaw University of Technology, Poland
;
2
University of Hradec Kralove, Czech Republic
Keyword(s):
Information Filtering, Linguistic Alerts, Computational Semiotics, Epistemic Modalities, Cognitive Semantics.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Semiotics
;
Society, e-Business and e-Government
;
Symbolic Systems
;
Tools, Techniques and Methodologies for System Development
;
Web Information Systems and Technologies
Abstract:
An original model of natural language alerts production is proposed. The alerts are produced by information filtering system and stated in a quasi-natural language, both potentially written and vocalized. The alerts are chosen with respect to a certain collection of uncertain decision rules, thus they inherit various levels of epistemic uncertainty. The quasi-natural language statements include linguistic operators of epistemic modality, as their necessary parts. The proposed model implements in a technical context an adequate cognitive semantics captured by an original theory of epistemic modality grounding defined elsewhere.