Quickstart

The following is an abstract, but simple, example on how to leverage the high quality data sources available as RDF data through ToposKG to make your own, Geospatial Knowledge Graph. Instead of being forced to download and use the entirety of the graph, users can easily pick-n-choose the parts that are required for their use cases.

from toposkg.toposkg_lib_core import KnowledgeGraphBlueprintBuilder, KnowledgeGraphSourcesManager

# Create a KnowledgeGraphSourcesManager object to load the available data sources and their metadata
sources_manager = KnowledgeGraphSourcesManager(['PATH_TO_YOUR_SOURCES'])

# See the available data sources
sources_manager.print_available_data_sources()

# Create a KnowledgeGraphBlueprintBuilder object to build the knowledge graph blueprint
builder = KnowledgeGraphBlueprintBuilder()

builder.set_name("ToposKG.nt")
builder.set_output_dir("/home/example/")

builder.add_source_path("PATH_TO_KG_SOURCE_1") # relative or absolute path
builder.add_source_path("PATH_TO_KG_SOURCE_2")

# Use the blueprint to construct the knowledge graph
blueprint = builder.build()
blueprint.construct()

Advanced Examples

Explore advanced functionality with our interactive Google Colab notebooks:

🚀 Quickstart Notebook

A fast introduction to the capabilities of toposkg-lib.

🤖 Chatbot Notebook

Our LLM-based chatbot that utilizes toposkg-lib, in action.