On Semantic Logic and Semantic Networks in Knowledge Representation (KR)

SEMANTIC LOGIC

AND

SEMANTIC NETWORKS

IN

KNOWLEDGE REPRESENTATION (KR)

This lectures briefly introduces semantic networks and the relevant semantic logic in AI, as a paradigm for knowledge representation, which has lead to many applications beyond AI in object-oriented software engineering and database management systems, including the Entity Relationship Diagram (ERD) and the UML (Unified Modeling Language) as defined by the Object Modeling Group, today the Object Management Group (OMG), all which tend to be contemporary to different generations of expansions to knowledge representation (KR) paradigms.  I also briefly present the concept of frame, as well as schema, as used in database concepts as well.  Today, semantic networks have a significant application in social media, and with the integration of machine learning they have lead to important statistical models to understand the clustering of information and their correlation through these networks and internally among the networks' entities.

From the visual perspective, this is possibly the simplest topic discussed in this coursework, in relation to the human window (involving memory, reasoning, and logic understanding) equivalently.

To download my presentation slides in pdf format, simply click here.

To read a relevant recommended reading, click here.