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the onto-semantics of science (the natural sciences, the social sciences, the humanities);
the onto-semantics of mathematics, embracing model theory or model-theoretic semantics;
the onto-semantics of logic, encompassing logical semantics and metalogic;
the onto-semantics of common knowledge, covering all sorts of common sense knowledge models;
the onto-semantics of language, including nonsymbolic (noncognitive) language and symbolic ( conceptual and pictorial) representations.
As it is known, the convergence of logic with semiotic, the general science of signs and languages, and with the axiomatic method resulted in metalogic dealing with formal systems and languages, and serving as the conceptual basis of current knowledge technologies, like the semantic web. Onto-semantics can be a desirable and long-seeking replacement for metalogic; for the semantic artefacts are crying for the fundamental assumptions and principles from which the meaning processing technologies can be designed and developed. As the matter stands, the combination of (world)ontology and semantics can meet such high expectations.
The bottom line: to safeguard from the imperfections of natural language and the abuse of words, ambiguity, equivocation, imprecision, obscurity, meaningless, or absurdity, as well as form immature upper ontologies, it is necessary to elaborate a computable theory of meaning (machine-processible semantics) in terms of entity types (objects, states, changes, and relations) as an inherent part of SUO activity.
Sincerely,
Azamat Abdoullaev
EIS Encyclopedic Intelligent Systems LTD
Moscow, Russia
Pafos, Cyprus
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