Skip to content
Toggle navigation
  • About
    • Mission
    • Knowledge Management Defined
    • Leadership
    • External Advisory Board
    • News
    • Success Stories
    • The EK Way
    • Contract Vehicles
    • Philanthropy
  • Services
    • KM Strategy & Design
    • Taxonomy, Ontology Design, & Implementation
    • Enterprise Learning
    • Enterprise Search
    • Enterprise Artificial Intelligence (e-AI)
    • Knowledge Graphs & Data Modeling
    • Content Strategy and Operations
    • Data Management
    • Unified Entitlements
  • Solutions
    • Dynamic Content
    • Semantic Layer
    • Knowledge Intelligence
    • Knowledge Management Transformation
    • Knowledge Portal
    • OmniLearning
  • Knowledge Base
  • Careers
    • Current Openings
    • Benefits
    • A Day In the Life
  • About
    • Mission
    • Knowledge Management Defined
    • Leadership
    • External Advisory Board
    • News
    • Success Stories
    • The EK Way
    • Contract Vehicles
    • Philanthropy
  • Services
    • KM Strategy & Design
    • Taxonomy, Ontology Design, & Implementation
    • Enterprise Learning
    • Enterprise Search
    • Enterprise Artificial Intelligence (e-AI)
    • Knowledge Graphs & Data Modeling
    • Content Strategy and Operations
    • Data Management
    • Unified Entitlements
  • Solutions
    • Dynamic Content
    • Semantic Layer
    • Knowledge Intelligence
    • Knowledge Management Transformation
    • Knowledge Portal
    • OmniLearning
  • Knowledge Base
  • Careers
    • Current Openings
    • Benefits
    • A Day In the Life

Case Study

Home : Knowledge Base : Knowledge Graphs & Data Modeling : Leveraging Ontologies and Biomedical Standards for Data Governance, Process Optimization, and Product Findability

Leveraging Ontologies and Biomedical Standards for Data Governance, Process Optimization, and Product Findability

May 28, 2020
EK Team

The Challenge

A global veterinary company that provides a comprehensive suite of products, software, and services for veterinary professionals needed an effective taxonomy and ontology design to provide easy and consistent ways to find and use data in order to inform machine learning activities and derive business intelligence. Specifically, the organization needed a way to model and describe their business processes and data flow between individual veterinary practices and enrich and align their ontology and data model with industry standards as part of their content and data normalization services and team initiatives. They sought to do this in order to  improve efficiency and create the ability to report on the data across practices as well as trends within a specific practice, such as the adherence to prescribed medications.

Their two primary stakeholders included:

  • Data Scientists, who analyze and interpret data to manage the relationships at more granular levels with minimal effort, and inform machine learning activities and derive business intelligence; and
  • Organizational Divisions who provide easy and consistent ways to find and use data.

The Solution

Enterprise Knowledge (EK) partnered with the organization to implement an enterprise taxonomy/ontology design, data strategy, management tool, and governance processes that provide consistent and effective approaches for data management and interactions. EK first enriched the taxonomy through the addition of synonyms, definitions, and scope notes to ensure broader and more accurate application of tags to the data being mapped. Then, leveraging the taxonomy, EK built an ontology which was then managed in an enterprise taxonomy/ontology management tool to link symptoms, illnesses, treatments, medications and other related products effectively. Synonyms and new terms were harvested and compared from multiple industry giants including Plumb’s Veterinary Drugs and Hill’s Prescription Diets. Additional metadata, such as breed definitions, was integrated with the tool through linked data, specifically DBPedia. Next, EK mapped the provided data sets to the ontology and leveraged industry benchmarking to ensure the interoperability of the ontology design. Finally, EK recommended a customized ontology governance plan including roles, processes, and cadences that leveraged best practices for maintaining and managing the ontology at a scale. 

An example knowledge panel for the veterinarian ontology

The EK Difference

EK’s ontology industry experience and linked open data expertise ensured that the taxonomy and ontology design developed for the organization was not only relevant to the veterinary domain within their realm, but also relevant to the veterinary industry at large. We worked collaboratively with SMEs at the organization to identify and leverage industry standards and models within the ontology design, customizing where necessary but ensuring interoperability.

The Results

By extracting products, brands, drugs, species, and other controlled vocabulary lists from internal taxonomies and external veterinary science industry standards, EK enhanced the organization’s taxonomy and developed an ontology to describe the key types of things vet partners were interested in and how they relate to each other. The new taxonomy also ensures the use of a common vocabulary from all veterinary practices submitting data, reducing the burden of data normalization. In doing so, internal end-users are able to uncover the answers to critical business questions and the ontology is poised to become a shareable industry standard.

An example workflow for ontology governance decision-making.
Leveraging-Ontologies-for-Data-GovernanceDownload
EK Team A services firm that integrates Knowledge Management, Information Management, Information Technology, and Agile Approaches to deliver comprehensive solutions. Our mission is to form true partnerships with our clients, listening and collaborating to create tailored, practical, and results-oriented solutions that enable them to thrive and adapt to changing needs. More from EK Team »

Related Content

  • Top Semantic Layer Use Cases and Applications (with Real World Case Studies)  
  • Women’s Health Foundation – Semantic Classification POC
  • Cutting Through the Noise: An Introduction to RDF & LPG Graphs
  • Unlocking Knowledge Intelligence from Unstructured Data
More »

Related News

  • EK’s Joe Hilger, Lulit Tesfaye, Sara Nash, and Urmi Majumder to Speak at Data Summit 2025

    March 27, 2025

  • Tesfaye and Majumder Speaking at EDW 2025

    March 19, 2025

  • EK / DataGalaxy Joint Webinar

    October 16, 2024

  • Final Agenda Set for Semantic Layer Symposium 2024: Don’t Miss Out!

    September 10, 2024

More »

EK Newsletter

  • Sign up for the latest thought leadership
  • Contact Us
  • Privacy Policy
  • EK on Twitter
  • EK on Facebook
  • EK on LinkedIn
  • EK on YouTube
  • EK on YouTube

© Enterprise Knowledge. All rights reserved.