π‘ Focus on Meaningful Concepts, Not Just Keywords
A content focused on the meaning and relationship of concepts is quite different from one where keywords and competitors are blindly followed.
π Imitating top-ranking competitorsβ pages is a thing of the past.
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What truly matters is how entities connect with each other β and this connection happens through attributes.
π Entities & Attributes: The Real Connection
Attributes help entities form meaningful relationships. These attributes come in different types:
π Types of Attributes:
- π Simple
- π Composite
- π Direct
- π Indirect
- π Multi-valued
- π Single-valued
- π Stored
- π Derived
π΄ Attribute Types Explained
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π΄ Simple Attribute: These attributes cannot be parsed or chunked further, and they may be part of composite attributes.
π Example: Consider the "height" attribute of an entity; height cannot be parsed further, unlike "size," which is a composite attribute. -
π΄ Composite Attribute: These can be parsed into two different types.
π Example: "Size" can be parsed into "height," "width," and "depth." -
π΄ Direct Attribute: When an attribute is directly connected to an entity.
π Example: "Car" is an entity and the weight of the car is its direct attribute, whereas the weight of the "wheel" is an indirect attribute of the car. -
π΄ Indirect Attribute: When an attribute is associated with the parts of an entity, it is considered an indirect attribute.
π Example: "Wheel weight" and "Seat weight" are indirect attributes of the entity "car." -
π΄ Multi-valued Attributes: When an attribute can have multiple values.
π Example: Attributes such as "college degree" or "known language" can have multiple values. -
π΄ Single-valued: When an attribute has only one value.
π Example: The "age" or "height" of an entity. -
π΄ Stored Attribute: These attributes have stored values unlike derived attributes.
π Example: βPopulationβ attribute of an entity βCountryβ. -
π΄ Derived Attributes: When an attribute is derived from another attribute.
π Example: If an entity has an "age" attribute, then there should always be a derived attribute: "birthday."
π― Why Does This Matter?
Understanding the attributes of entities helps in:
- π Filtering out less relevant attributes for an article and focusing more on relevant attributes according to the context.
- π Consolidating context and sharpening context in an article for better rankings and fewer chances of context dilution.
- π Increasing information richness and density.
All these benefits cannot be achieved by focusing solely on queries, competitors, or entities.
β¨ Final Takeaway
Focusing only on queries or competitors wonβt get you far anymore.
Itβs the relationships and the attributes of those relationships that shape context, quality, and rankings.
β¨ Relationships matter. Attributes matter. Context matters most.