What is an Ontology (Database?) ?

Question

I was just reading this article and it mentions that some organization had an Ontology as(?) their database(?) layer, and that the decision to do this was bad. Problem is I hadn't heard about this before, so I can't understand why it's bad.

So I tried googling about databases and ontology, and came about quite a few pdfs from 2006 that we're full of incomprehensible content (for my mind). I read a few of these and at this point still have absolutely no idea what they are talking about.

My current impression is that it was some crazy fad of 2006 that some academics were trying to sell us, but failed miserably due to the wording of their ideas. But I'm still curious if anyone actually knows what this is actually all about.

Answer 1

Once upon a time I have assigned such question to a good developer to answer as a task, because my superior believed in Ontologies. It didn't materialize to any sharp answer and my superior was fired some time after. I'm still curios.

My current understanding is that this is an idea of words in a natural language (or "entities") being connected to each other with different relations. Then we generalize that idea to any DB entities. And basically we end up with noting interesting and with no useful query language.

I may be wrong.

Answer 2

What about wikipedia?

an ontology is a formal representation of the knowledge by a set of concepts within a domain and the relationships between those concepts

See 'Domain ontologies' and this and that for more details.

Answer 3

Karussell already provided the wikipedia definition:

"a formal representation of the knowledge by a set of concepts within a domain and the relationships between those concepts".

In order to implement such a representation, several languages have been developed. The one that currently gets the most attention is probably the Web Ontology Language (OWL).

In a traditional relational database, concepts can be stored using tables, but the system does not contain any information about what the concepts mean and how they relate to each other. Ontologies do provide the means to store such information, which allows for a much richer way to store information. This also means that one can construct fairly advanced and intelligent queries. Query languages such as SPARQL have been developed specifically for this purpose.

For my masters thesis, I have worked with OWL ontologies, but this was as part of a fairly academic research. I don't know if any of this technology is currently used in practice very much, but I'm sure the potential is there.

Update: example

An example of 'meaning' and reasoning over the ontologies: say you define in your ontology a class Pizza, and a class Vegetarian Pizza, which is a Pizza that has no Ingredients that belong to the class Meat. If you now create some instance of a Pizza that just happens not to have any meat ingredients, the system can automatically infer that your pizza is also a Vegetarian Pizza, even if you did not explicitly specify it.

Answer 4

I am a total layman, but it appears to me that artificial intelligence research has a 50 year history that goes round in cycles.

1. Extravagant predictions by academics.
2. Generous funding by government.
3. Modest results are produced.
4. Funding is cut savagely.
5. Time passes. The previous cycle is forgotten. Return to step 1.

We've been round the cycle twice. Possibly this time it will be different...?