**15. Graphic notations**

258 Semantics – Advances in Theories and Mathematical Models

Analysis is deemed essential for providing information and critical skills for interface

Informs about a text, its underlying assumptions and its various dimensions of

Context with a operating-cultural structures and entities (human-machine) motivations

Unmasks the deep-seated rhetorical forms and underlying codes that fundamentally

Essentially C3 semantics modeling—dynamics mapping is based on 'reasoning' and 'understanding' using dynamic information and knowledge domains in the context of Ackoff system of filters. An example may be a mobile machine cognitive map that may "*contains, in addition to spatial information about the environment, assignments of mapping features* 

The semantic process serves another purpose to facilitate the 'resource description framework' (RDF) which is drawn from the traditional project management processes. If this is the commonality then C3 'semantic project management mapping' (SPMM) stresses the 'semantics' core meaning of really 'itself' using knowledge—information—learning

In the SPMM context there is a reliance on meaningful communication with and within dependant or independent domains that interact with various entities and events. This

**13. Semiotic mapping** 

Sign: "representation"

and media literacy.

interpretation.

**14. Guiding parameter** 

therefore leads to a continuum:

domains.

In summary Semiotic mapping comprises:

Semiotics Themes (Fig 6) are inclined to be:

Interpretation: "Immediate; dynamic; logical"

that underlie perceptual representations.

Fig. 6. Semiotoc model (Ryder, 2004; Lemke, 2001).

*to entities of known classes*" (Uschold, 2001).

 Offers a lens into entities (human-machine) communication. Sharpens the entities consciousness surrounding a given text.

shape entities realities (Ryder, 2004; Lemke, 2001).

Rejects the possibility that can represent the world in a neutral fashion.

Object: "Immediate; dynamic"

A graphic notation tends to be cognitive by nature and as such is a feature of a semantic network or network*.* As an enabler, what is suggested is representing information– knowledge domains with patterns and symbols. By doing so the various management and learning styles are able to be accommodated. Additionally, what are highlighted are interconnected nodes and threads with alignments with philosophy, psychology, and linguistics (Sowa, 2006).

So what should it be F–semantics, I–semantics or a hybrid? F–semantics that is, the semantics is deterministic: no stable models or well-founded model is empty, but is meaningful. I–semantics namely lexical semantics: no principled reason to restrict being an ad hoc stipulation or satisfying declaratives for agent programs or a hybrid? (Phan Luong, 1999; Tancredi, 2007; Eiter et al., 1999).
