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  • member
  • team
  • department
  • center
  • program_project
  • nrc
  • whocc
  • project
  • software
  • tool
  • patent
  • Administrative Staff
  • Assistant Professor
  • Associate Professor
  • Clinical Research Assistant
  • Clinical Research Nurse
  • Clinician Researcher
  • Department Manager
  • Dual-education Student
  • Full Professor
  • Honorary Professor
  • Lab assistant
  • Master Student
  • Non-permanent Researcher
  • Nursing Staff
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Prize
  • Project Manager
  • Research Associate
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
  • Director of Institute
  • Director of National Reference Center
  • Group Leader
  • Head of Facility
  • Head of Operations
  • Head of Structure
  • Honorary President of the Departement
  • Labex Coordinator
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Scientific Fields
Diseases
Organisms
Applications
Technique
Starting Date
06
Dec 2024
Status
Ongoing
Members
4
Structures
4

About

OntoWeaver is a tool for importing table data in Semantic Knowledge Graphs (SKG) databases and ontologies.

OntoWeaver allows writing a simple declarative mapping to express how columns from a Pandas table are to be converted as typed nodes or edges in an SKG.

It provides a simple layer of abstraction on top of Biocypher, which remains responsible for doing the ontology alignment, supporting several graph database backends, and allowing reproducible & configurable builds.

With OntoWeaver, you just have to express a mapping in YAML, looking like:

row: # The meaning of an entry in the input table.
  map:
    column: cohort_code
    to_subject: patient
transformers: # How to map cells to nodes and edges.
  - map: # Map a column to a node.
    column: cancer_type
    to_object: disease
    via_relation: has_disease
  - map: # Map a column to a property.
    column: patinet_age
    to_property: age
    for_object: patient
metadata: # Optional properties added to every node and edge.
  - source: "My OntoWeaver adapter"
  - version: "v1.2.3"

And you can easily have a graph looking like:

A large set of colored circles, linked by gray segments.
A large semantic knowledge graph produced by OntoWeaver, about genetic alterations causing cancer, proteins and drugs.

Fundings