Updated at: 2023-01-11 07:48:24
Term | Description |
Prediction Task | The prediction task refers to predicting the ontology of the knowledge graph, including entities, relationships ,and properties, according to the data source. |
Property | Properties are characteristics that describe some aspects of an entity or relationship, such as a person's height or weight. |
Property Mapping | Used to constrain the type of the field, which can be created automatically from the data. It is equivalent to a Schema in a database. |
Relationship | A relationship refers to the connection between entities, such as a parent-child relationship. |
Relationship Class | The relationship class is a conceptual abstraction of a relationship that describes the type of the relationship. For example, China - [capital] - Beijing, Germany - [capital] - Berlin, respectively indicate the relationship between two countries and two cities, but Beijing and Berlin all belong to the same type: [capital]. |
Repetition Rate | Represents the repetition of the knowledge quantity; Repetition rate =(knowledge quantity before deduplication - knowledge quantity after deduplication)/ knowledge quantity before deduplication. |
Scheduled Task | Periodically carries out the task of building knowledge graphs according to the execution plan configured by the user. |
Sci-tech News Model | The sci-tech news model is designed based on the sci-tech news domain and contains ontologies such as papers, authors, products, and companies. AnyDATA system will train a deep learning model based on the designed ontology and use this model to extract the relevant knowledge of the unstructured text. |
Search Result | Search result refers to the final result presented after the search traversal. |
Search Scope | Search scope refers to the search traversal through the specified entity class and relationship class during the search traversal. |
Similarity Function | The function type uses a fuzzy comprehensive evaluation principle with several specific relative indexes as a unified scale. |
SMTP Setting | SMTP is a kind reliable and efficient Email transport protocol. SMTP setting refers to the setting of this transport protocol. |
Software Document Knowledge Model | The software document knowledge model refers to the model used to extract entities and relationships in the operation and maintenance domain. |
Standard Extraction | Standard extraction is an extraction method based on structured data, such as MySQL, Hive, CSV, and JSON. |
Storage Management | The main functions of storage management include allocating and reclaiming main memory space, improving the utilization of main memory, expanding main memory, and effectively protecting main memory information. Storage management is used to configure the graph database and full-text index. |
Task | Refers to the task of building a knowledge graph according to configurations. |
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