SMART Protocols Ontology: Workflow Module (SP-Workflow)

SP-Workflow module represents: i) the executable elements of a protocol; ii) the experimental actions and material entities that participate in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions. It provides a structured vocabulary for representing workflows, experimental actions, and related data, supporting both theoretical and experimental research in workflow management.

The ontology employs a class-based modeling approach, defining classes for different types of workflows, experimental actions, and related data, along with properties to describe their characteristics and interactions. Hierarchies are used to organize classes into categories, enabling efficient data retrieval and analysis. SP-Workflow supports the integration of data from various sources, promoting interoperability and data-driven research in workflow management.

Typical applications of SP-Workflow include the development of new workflow management methods, the optimization of experimental workflows, and the integration of diverse datasets to support advanced analytics and knowledge discovery. By providing a standardized vocabulary and framework, SP-Workflow enhances collaboration and innovation in the field of workflow management.

Example Usage: Annotate an experimental workflow with SP-Workflow terms to specify workflow steps, experimental actions, and related data, enabling semantic search and integration with workflow management platforms.

Metrics & Statistics

Graph Statistics

Total Nodes

1446

Total Edges

3017

Root Nodes

4

Leaf Nodes

834
Knowledge Coverage Statistics

Classes

419

Individuals

5

Properties

17
Hierarchical Metrics

Maximum Depth

13

Minimum Depth

0

Average Depth

7.23

Depth Variance

8.19
Breadth Metrics

Maximum Breadth

36

Minimum Breadth

3

Average Breadth

14.07

Breadth Variance

120.78
LLMs4OL Dataset Statistics

Term Types

5

Taxonomic Relations

577

Non-taxonomic Relations

22

Average Terms per Type

1.00

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import SPWorkflow

ontology = SPWorkflow()
ontology.load("path/to/SPWorkflow-ontology.owl")

# Extract datasets
data = ontology.extract()

# Access specific relations
term_types = data.term_typings
taxonomic_relations = data.type_taxonomies
non_taxonomic_relations = data.type_non_taxonomic_relations