Details

Autor(en) / Beteiligte

• Badie, Farshad
• Augusto, Luis M.

Titel

Fuzzy Networks for Modeling Shared Semantic Knowledge

Ist Teil von

• Journal of artificial general intelligence, 2023-03, Vol.14 (1), p.1-14

Ort / Verlag

Vienna: Sciendo

Erscheinungsjahr

2023

Quelle

EZB*

Beschreibungen/Notizen

• Shared conceptualization, in the sense we take it here, is as recent a notion as the Semantic Web, but its relevance for a large variety of fields requires efficient methods of extraction and representation for both quantitative and qualitative data. This notion is particularly relevant for the investigation into, and construction of, semantic structures such as knowledge bases and taxonomies, but given the required large, often inaccurate, corpora available for search we can get only approximations. We see fuzzy description logic as an adequate medium for the representation of human semantic knowledge and propose a means to couple it with fuzzy semantic networks via the propositional Łukasiewicz fuzzy logic such that these suffice for decidability for queries over a semantic-knowledge base such as “to what degree of sharedness does it entail the instantiation ) for some concept ” or “what are the roles that connect the individuals and to degree of sharedness ε.”