Entity-Relationship - meaning and definition. What is Entity-Relationship
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What (who) is Entity-Relationship - definition

UNITED STATES PATENT LAW
Small entity; Micro Entity Status (patents); Micro Entity Status; Micro entity status; Small entity status; Large entity; Large entity status; Small Entity Status; Large Entity Status

Enhanced entityrelationship model         
ENHANCEMENT OF THE ER MODEL THAT DESCRIBES INTER-RELATED THINGS OF INTEREST IN A SPECIFIC DOMAIN OF KNOWLEDGE WITH SUBCLASS / INHERITANCE SUPPORT
Enhanced entity-relationship; Enhanced Entity-Relationship Model; Extended entity–relationship model; Enhanced entity-relationship model; Extended entity-relationship model; EER model
The enhanced entityrelationship (EER) model (or extended entityrelationship model) in computer science is a high-level or conceptual data model incorporating extensions to the original entityrelationship (ER) model, used in the design of databases.
Entity linking         
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THE TASK OF ASSIGNING A UNIQUE IDENTITY TO ENTITIES MENTIONED IN TEXT
Named entity disambiguation; Named entity normalization; Entity Linking
In natural language processing, entity linking, also referred to as named-entity linking (NEL), named-entity disambiguation (NED), named-entity recognition and disambiguation (NERD) or named-entity normalization (NEN) is the task of assigning a unique identity to entities (such as famous individuals, locations, or companies) mentioned in text. For example, given the sentence "Paris is the capital of France", the idea is to determine that "Paris" refers to the city of Paris and not to Paris Hilton or any other entity that could be referred to as "Paris".
Named-entity recognition         
EXTRACTION OF NAMED ENTITY MENTIONS IN UNSTRUCTURED TEXT INTO PRE-DEFINED CATEGORIES
Named Entity Recognition; Entity extraction; Named-entity detection; ENAMEX; Named Entities recognition; Named entity recognition; Named entities; Entity detection; Named entities recognition; Named-entity extraction; Entity chunking
Named-entity recognition (NER) (also known as (named) entity identification, entity chunking, and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.

Wikipedia

Large and small entities in patent law

In United States patent law, those applying for a patent, i.e. applicants, and patentees may claim a particular status depending on the number of their employees. The fees to be paid to the patent office depend on the applicant's status. The statuses include the "large entity" status and the "small entity" status. The "micro entity" status is a further status, which was introduced with the Leahy–Smith America Invents Act (AIA), enacted in 2011.

The small entity status allows small businesses, independent inventors, nonprofit organizations to file a patent application and maintain an issued patent for a reduced fee—a 60% reduction. Under 13 C.F.R. § 121.802(a), an entity qualifies as a "small business concern", and so qualifies for small entity status, if its number of employees, including affiliates, does not exceed 500 persons. Small Business Administration (SBA) regulations, discussed below, define "employees" and "affiliates".

If an organization or individual qualifies for small entity status, claiming such status is relatively simple. The person seeking such status needs to simply file a verified statement in the patent application prior to paying the first fee as a small entity. Any subsequent payments only need to include a statement where such status has changed.

The concept of "small entity" also exist in other jurisdictions, such as in Canada.