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Ontology: A Tree or a Forest What do You Need?

Last month having written about Taxonomies, I thought I would spend time understanding Ontologies as the word popped up a lot associated with Taxonomies.

The challenge became how to explain the use of a word Ontology that is mostly used in academic and data scientist circles. Whereas the term Taxonomies is mostly used commercially in business.

Recap Taxonomy the hierarchical classification of entities. Including the principles that underlie such classification according to Wikipedia.

  • A car is a subtype of vehicle, a car is a vehicle but not every vehicle is a car

Ontology

On the technical side, ontologies imply a broader scope of information. People often refer to a taxonomy as a tree, and extending that analogy, an Ontology is often more of a forest.  An ontology might encompass a number of taxonomies, with each taxonomy organizing a subject in a particular way.

An ontology is a formal way of organizing information. It includes putting things into categories and relating these categories with each other. They can have any type of relationship between categories, whereas in a taxonomy there can only be hierarchies.

The synonym for ontology would be model, and the synonym for taxonomy would be tree.

A technical difference between taxonomies and ontologies deals with structure and overall level of detail.

Both ontologies and taxonomies can track key words, but an ontology is likely to classify these words more carefully, perhaps as parts of speech, which human language, how precisely one word is the exact synonym for another.

Examples

The taxonomy of a tiger is that it is a subtype of cat (classification), but an ontological description may be that the tiger has a relationship to Asia, the continent on which it lives.

The term golf could appear in several taxonomies.

It could be under a Human Activities tree (Human activities -> leisure activities -> sports -> golf).

It could also be under a taxonomy concerned with Apparel (Apparel -> Casual/Active Apparel -> Sporting Apparel -> Golf Clothing and Accessories),

Lets say it also appears under a third Consumer Electronics Taxonomy (Electronics -> Handheld Gadgets -> Outdoor & Navigational -> Gadgets for Golfers)

Each would be considered a taxonomy tree, and you could think of the branches as touching each other around the golf related nodes.

Other intersecting trees might include Travel Destinations, Famous People & Celebrities and TV Broadcasts these could all also interest with the concept of golf.

Why this Matters?

Are you considering taxonomies / information management for an upcoming project?

If so, the concepts of use for ontologies overlap with a host of other information retrieval, knowledge management and advanced metadata systems.

If not, and ontologies are a matter of curiosity, I hope I have provided a taster.  If not, hit Wikipedia & Google remembering to use both terms (Taxonomies & Ontologies).

 

Liz has over 15 years experience, creating a data-driven culture for organisations, to enable monetisation of their data. From developing the vision, designing the strategy, providing strategic leadership and, advising and executing a broad range of corporate compliance and digital data transformations.

With her passion for data governance she has solved problems which many organisations experience with duplicate, inconsistent and incomplete data, on multiple siloed platforms.

Prior to her current role she was a consultant delivering Europe-wide programmes for example; Reduced regulatory compliance costs by 40%, Accelerated the start-up of new capital projects enabling top quartile performance and while leading the European graduate induction programme delivered revenue of $2m by expediting the deployment of new consultants. She has spent a number of years in the branded office products industry where she led the business to revolutionise the standards and governance for global product data and was an active member of the industry federation influencing the direction of the industry for data.

When she is not governing data, she enjoys gardening and travelling, has a data blog lizhendersondata.wordpress.com, is a STEM ambassador and a non-executive director for the charity Focus who support the development of young people.

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