# An Evaluation Survey of Knowledge-Based Approaches in Telecommunication Applications
## 3 Evaluation of Different Knowledge-Based Approaches
### Assessment Criteria  
The selection of knowledge representation and reasoning to implement a use case is based on relevant characteristics that are generally or specifically defined. These definitions collectively provide a framework for evaluating knowledge representation formalisms based on key criteria, while ensuring that the chosen formalism aligns with specific requirements and objectives. Different criteria are of interest for different use cases. Herein, the following list of criteria may be considered:  
* _Knowledge formalism_--Knowledge formalism refers to the specific language, representation framework, or set of rules used to express and structure knowledge within a knowledge representation system. It defines how information is encoded, stored, and manipulated to enable reasoning and inference. * _Knowledge accuracy_--Accuracy refers to how well the knowledge representation reflects the true state of the world or domain it is intended to model. It manifests the degree to which the information encoded in the knowledge representation is correct and free from errors. High accuracy indicates that the knowledge representation provides a faithful reflection of reality, while low accuracy implies that it may contain inaccuracies or inaccurately represent aspects of the domain. * _Knowledge precision_--Precision relates to the level of detail and specificity in the knowledge representation. It manifests how well the representation captures fine-grained distinctions, nuances, or specific aspects of the domain. High precision implies that the knowledge representation provides detailed and specific information, while low precision may result in a more abstract or generalized representation. * _Knowledge coverage_--Coverage refers to the extent to which the knowledge representation includes relevant information about the domain. It manifests the comprehensiveness of the representation, indicating whether it covers all the necessary concepts, relationships, or facts related to the domain. High coverage implies that the representation includes a broad range of domain knowledge, while low coverage may result in gaps or missing information. * _Knowledge generalizability_--Generalizability considers how well the knowledge or conclusions derived from the representation can apply to broader contexts or domains beyond the specific use case. It manifests the extent to which results can be generalized or adapted to different scenarios. * _Knowledge explainability_--Explainability gauges how transparent and understandable the reasoning process and the conclusions drawn from the knowledge base are. Itmanifests the degree to which the representation facilitates mechanisms for generating explanations, justifications, or evidence to support the derived conclusions. * _Knowledge certainty_--Certainty refers to the degree of confidence or trustworthiness associated with the knowledge encoded in the representation. It manifests how certain or reliable the information is in the reasoning process. High certainty implies a high degree of confidence in the knowledge, while low certainty indicates uncertainty or ambiguity. * _Knowledge consistency_--Consistency pertains to the ability of the knowledge representation to handle conflicting or contradictory information and ensure coherence. It manifests how well the representation deals with conflicting facts or conclusions and resolves inconsistencies within the knowledge base. * _Knowledge confidence_--Confidence assesses the levels of trust or belief in the conclusions drawn from the knowledge base. It manifests how confident one can be in the validity of the results obtained through reasoning with the represented knowledge. * _Knowledge expandability_--Expandability refers to the capability of the knowledge representation to accommodate the derivation of new knowledge from existing facts or rules. It also manifests how easily new knowledge can be added to the representation.