How to work with the data represented in the ontology?
DataVera EKG Explorer is a tool for working with data contained in a DBMS under the control of DataVera EKG Provider. The structure of this data is described by an ontology model. Working with such data has some peculiarities compared to the usual relational DBMS:
- Each object can be attributed to several entity types at once - for example, an information object describing a person can simultaneously belong to the classes "Physical person" and "Individual entrepreneur".
- Each property of each object can have multiple values, unless a limit is placed on the number of values. For example, a person can have several phone numbers and a company can be involved in several projects at the same time.
- Each string value of a property can be annotated with a language label - this allows data to be stored in multiple languages at once.
- One property can apply to entities of several types at once. For example, both persons and companies can have an address.
- Entity types (classes) form hierarchies according to the superset-subset principle. For example, LLP is a subset of legal entities, so the supraclass for the class "LLP" can be "Legal entity".
- The set of properties whose values each object can possess is formed by inheriting properties that apply to all classes to which the object belongs and their superclasses.
To avoid confusing the user while allowing them to take advantage of the wealth of data ontology organization capabilities, we created the DataVera EKG Explorer, an interface that allows them to explore and edit the data stored in the DataVera EKG Provider data virtualization platform.
Functions of DataVera EKG Explorer
For a detailed description of the functions of the DataVera EKG Explorer, please refer to the User Manual.
The DataVera EKG Explorer data editing user interface is shown in the following image:
DataVera EKG Explorer currently supports the following features:
- View objects of the selected class with filtering and sorting, possibility to select list columns
- Export to Excel a set of objects that meet the selection conditions
- Importing modified data from Excel
- Creating, editing, deleting data objects taking into account the above features of ontology models
- Display information about the history of editing the values of object properties, about violations of logical integrity control, about facts obtained as a result of the operation of logical inference rules.
- View quality metrics of objects of a certain class. Work with the list of objects that violate quality control rules.
