ICS 2405: Semantic Networks in Knowledge-Based Systems

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Questions and Answers

What do nodes in a semantic network represent?

Attributes of concepts

Word senses

Values and relationships

Entities and events (correct)

In a semantic network, what do arcs represent?

Word senses

Concept hierarchies

Attributes of entities

Relationships between concepts (correct)

What is true about super classes and sub classes in a semantic network?

Sub classes inherit all attributes from super classes (correct)

Sub classes are exempted from having certain attributes of super classes

Super classes inherit attributes from sub classes

Super classes are unrelated to sub classes

Which of the following is NOT an advantage of semantic networks?

Node objects represented multiple times Signup and view all the answers

What kind of data structure is a semantic network?

Graph theoretic data structure Signup and view all the answers

How are concepts represented in a semantic network?

As word senses with attributes Signup and view all the answers

What is a major disadvantage of conventional semantic networks?

Limited handling of quantifiers Signup and view all the answers

Which formalism in knowledge representation involves stereotyped information on objects and their attributes?

Frames Signup and view all the answers

What is a key advantage of frames in knowledge representation?

Ability to handle missing values Signup and view all the answers

Which aspect of semantic networks is particularly difficult to represent sometimes?

Binary relations Signup and view all the answers

What makes the implementation of frames challenging, especially concerning inheritance?

Inheritance complexities Signup and view all the answers

In knowledge representation, what feature allows frames to present close matches despite missing values?

Ability to handle incomplete information Signup and view all the answers

What are the two broad classes of classification techniques mentioned in the text?

Numeric and non-numeric Signup and view all the answers

Which distance measure is NOT mentioned in the text for k-nearest neighbor classification?

Angular distance Signup and view all the answers

What is a common disadvantage of semantic networks according to the text?

Lack of expressiveness Signup and view all the answers

Which type of classification technique relies on symbolic processing like fuzzy sets?

Non-numeric methods Signup and view all the answers

What does blind search involve in the context of knowledge-based systems?

Randomly searching without any domain knowledge Signup and view all the answers

Which logical feature cannot be expressed using semantic networks as per the text?

Standard logical connectives Signup and view all the answers

Study Notes

Semantic Networks

Nodes in a semantic network represent concepts or objects.
Arcs in a semantic network represent relationships between concepts or objects.

Classes in Semantic Networks

Super classes are general categories that sub classes inherit from.
Sub classes are specific categories that inherit properties from super classes.

Advantages and Disadvantages of Semantic Networks

One disadvantage of semantic networks is NOT their ability to represent complex relationships.
Semantic networks are a type of graph data structure.
A major disadvantage of conventional semantic networks is their inability to represent uncertain or fuzzy information.

Frames in Knowledge Representation

Frames involve stereotyped information on objects and their attributes.
A key advantage of frames is their ability to represent complex, structured knowledge.
The implementation of frames is challenging, especially concerning inheritance, due to the complexity of attribute relationships.
Frames can present close matches despite missing values through default values.

Classification Techniques

The two broad classes of classification techniques mentioned in the text are symbolic and connectionist.
The distance measure NOT mentioned in the text for k-nearest neighbor classification is Jaccard similarity.

Common Disadvantages of Semantic Networks

A common disadvantage of semantic networks according to the text is their inability to represent uncertain or fuzzy information.

Fuzzy Sets and Classification

Fuzzy sets are used in classification techniques that rely on symbolic processing.

Blind Search in Knowledge-Based Systems

Blind search involves searching through all possible solutions without using any heuristic knowledge.

Logical Features in Semantic Networks

Semantic networks cannot express negation as per the text.

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Description

Explore the concept of semantic networks in a knowledge-based system, which represent knowledge through interconnected nodes and arcs. Learn how nodes represent concepts or entities, while arcs represent relationships between these concepts.