Software Ontology (SWO)

The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance, and associated data. It contains detailed information on licensing and formats as well as software applications themselves, mainly (but not limited) to the bioinformatics community. It provides a structured vocabulary for representing software tools, supporting both theoretical and experimental research in software management.

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

Typical applications of SWO include the development of new software management methods, the optimization of software tool usage, and the integration of diverse datasets to support advanced analytics and knowledge discovery. By providing a standardized vocabulary and framework, SWO enhances collaboration and innovation in the field of software management.

Example Usage: Annotate a software tool with SWO terms to specify tool types, tasks, and associated data, enabling semantic search and integration with software management platforms.

Metrics & Statistics

Graph Statistics

Total Nodes

11581

Total Edges

33570

Root Nodes

177

Leaf Nodes

3150
Knowledge Coverage Statistics

Classes

2746

Individuals

443

Properties

165
Hierarchical Metrics

Maximum Depth

13

Minimum Depth

0

Average Depth

3.07

Depth Variance

5.30
Breadth Metrics

Maximum Breadth

392

Minimum Breadth

1

Average Breadth

132.93

Breadth Variance

17222.21
LLMs4OL Dataset Statistics

Term Types

440

Taxonomic Relations

5852

Non-taxonomic Relations

612

Average Terms per Type

8.30

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import SWO

ontology = SWO()
ontology.load("path/to/SWO-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