<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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 <italic>C</italic>(<italic>a</italic>) for some concept <italic>C</italic>” or “what are the roles <italic>R</italic> that connect the individuals <italic>a</italic> and <italic>b</italic> to degree of sharedness ε.”</p>
</abstract>

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 C(a) for some concept C” or “what are the roles R that connect the individuals a and b to degree of sharedness ε.”

Fuzzy Networks for Modeling Shared Semantic Knowledge

Journal of Artificial General Intelligence

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Fuzzy Networks for Modeling Shared Semantic Knowledge"}

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...

Fuzzy Networks for Modeling Shared Semantic Knowledge

Publié en ligne: 27 mars 2023

Pages: 1 - 14

Reçu: 05 nov. 2021

Accepté: 01 mars 2023

DOI: https://doi.org/10.2478/jagi-2023-0001

Mots clés
Shared conceptualization, Directed graph, Description logics, Fuzzy logic, Fuzzy semantic network

© 2023 Farshad Badie et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Fuzzy Networks for Modeling Shared Semantic Knowledge

Publié en ligne: 27 mars 2023

Pages: 1 - 14

Reçu: 05 nov. 2021

Accepté: 01 mars 2023

DOI: https://doi.org/10.2478/jagi-2023-0001

Mots clésShared conceptualization, Directed graph, Description logics, Fuzzy logic, Fuzzy semantic network

© 2023 Farshad Badie et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Shared conceptualization, Directed graph, Description logics, Fuzzy logic, Fuzzy semantic network