List the various data abstraction concepts and the corresponding modeling concepts in the EER model.

The data abstraction concepts in the EER (Enhanced Entity-Relationship) model can be represented using the following modeling concepts:
1. $Entities$: Entities represent real-world objects or concepts and are represented by rectangles in the EER model.
2. $Attributes$: Attributes define the properties or characteristics of an entity and are represented by ovals connected to the corresponding entity.
3. $Relationships$: Relationships represent associations between entities and are represented by diamonds connecting the related entities.
4. $Roles$: Roles define the participation of entities in a relationship. They specify the purpose or function of an entity in a particular relationship.
5. $Cardinality$: Cardinality describes the number of occurrences or instances of one entity that are associated with another entity in a relationship. It defines the relationship's multiplicity.
6. $Generalization$: Generalization represents the concept of inheritance, where a specialized entity inherits attributes and relationships from a more general entity.
7. $Specialization$: Specialization is the process of defining new entities (specialized entities) based on existing entities (generalized entities).
8. $Aggregation$: Aggregation represents a higher-level relationship between entities, where one entity consists of or is composed of other entities.
9. $KeyConstraints$: Key constraints define the uniqueness of an entity's attribute values or the minimum and maximum number of occurrences of an entity in a relationship.
These concepts provide a way to model and represent data in the EER model, allowing for a more comprehensive and flexible representation of complex relationships and structures in a database system.

In the Enhanced Entity-Relationship (EER) model, we can identify various data abstraction concepts and their corresponding modeling concepts. These concepts include:
1. $\mathbf{\text{Entity}}:$ An entity represents a real-world object, such as a person, place, or thing. In the EER model, an entity is depicted as a rectangle with the entity name written inside. For example, $\text{Employee}$ could be an entity representing employees in an organization.
2. $\mathbf{\text{Attribute}}:$ An attribute describes a property or characteristic of an entity. Attributes are represented as ovals connected to their corresponding entity. For instance, $\text{Employee\_Name}$ and $\text{Employee\_ID}$ could be attributes of the $\text{Employee}$ entity.
3. $\mathbf{\text{Relationship}}:$ A relationship represents an association between two or more entities. It describes how entities are related to each other. Relationships are shown as diamond-shaped symbols connecting the participating entities. For example, $\text{Works\_On}$ could be a relationship connecting the $\text{Employee}$ entity with a $\text{Project}$ entity, indicating that employees work on projects.
4. $\mathbf{\text{Cardinality}}:$ Cardinality represents the number of instances of one entity that can be associated with a single instance of another entity. It is represented using symbols near the relationship lines. For instance, $\text{1:1}$ or $\text{1:N}$ could be used to indicate the cardinality between the $\text{Employee}$ and $\text{Project}$ entities.
5. $\mathbf{\text{Key}}:$ A key is an attribute or a combination of attributes that uniquely identifies each instance of an entity. It is denoted by an underline below the attribute name. For example, $\underset{―}{\text{Employee\_ID}}$ could be the key attribute for the $\text{Employee}$ entity.
6. $\mathbf{\text{Inheritance}}:$ Inheritance allows the creation of new entities based on existing entities, inheriting their attributes and relationships. It is represented using an arrow with a triangle at the end, pointing from the derived entity to the base entity. For instance, if we have a $\text{Manager}$ entity derived from the $\text{Employee}$ entity, the arrow would point from $\text{Manager}$ to $\text{Employee}$.
These are some of the key data abstraction concepts and their corresponding modeling concepts in the EER model.