Ontologies only built with classes and not class instances - owl

I am wondering why public biomedical ontologies are often organized in such a way that there are no class instances and only classes? I understand it in a way that all instances are classes, but I do not understand what is the advantage or purpose of such modelling? Those classes have also only annotation properties. For example NCIT ontology: https://bioportal.bioontology.org/ontologies/NCIT/?p=summary.
I would appreciate if someone could provide me with an explanation what is the purpose of such model and if there is an advantage to a model where classes have class instances. I am definitively not an expert in the field and I only was working on modelling 'standard' ontologies with classes and their instances.

TLDR
The reason for preferring classes over individuals (or instances) is that classes allow for sophisticated reasoning which is used to infer classification hierarchies.
The longer answer
The semantics of OWL allows you to make the following type of statements:
ClassExpression1 is a subclass of ClassExpression2
PropertyExpression1 is a subproperty of PropertyExpression2
Individual c1 is an instance of Class1
Individual x is related to individual y via property1
Of these 4 options, (1) by far allows for the most sophistication. Intuitively it comes down to how much each of these allow you to express and the reasoning capability to derive inferences from those statements. To get an intuitive feel of this, using the OWL Direct Semantics, we can see what
ClassExpression1 and ClassExpression2 can be substituted with:
There no way that this expressivity can be achieved using individuals.
Individuals vs Classes
In your question you say that all instances (individuals) are classes. This is not exactly true. Rather, classes consists of instances or instances belong to classes. From a mathematical perspective classes are sets and individuals are members of a set.
Annotations in biomedical ontologies
These ontologies have a substantial (80%-90%) amount of annotations. However, they do have lots of logical axioms. You can see it for example when you look at http://purl.obolibrary.org/obo/NCIT_C12392 on the righthandside, if you scroll down to the bottom, you will see the axioms listed:

Related

Define a instance belong to a certain class

I want to define an OWL ontology, whose main goal is to explicitly describe the spatial elevation of things. Here is an example, I divide things into three classes, namely above_ground, surface and underground. The concepts of some things may belong to these classes simultaneously. Such as the concept Parking lot should belong to these three classes. However, when instantiating Parking lot, say Pk_xxx, it comes a problem, I can't distinguish which class the instance Pk_xxx belong to.

Should I always create bi-directional relations in OWL ontology?

For example, for Book and Author classes, I can have authorOf relation, and or hasAuthor relation. For Student and Course classes, I can have courseOf and hasCourse relations between the two.
It seems redundant to always create relations in two directions. Is there any guideline or principle to deal with situation?
I'm not aware of any recommendation to always explicitly provide the inverse property.
There are at least two use cases for inverse properties:
The need to reference the inverse property, let's call it "IP",
internally in the ontology.
We may need to state that another property is disjoint with IP. Or that another property is equivalent to IP. Now, we provide IP to allow that statement. Another very trivial example is the desire to keep a comment in the right place. You may define IP just to place a rdfs:comment on it.
The need to externally reference the inverse property.
An example is: Our application assigns translations of natural languages to ObjectProperties. In case of the famous Protege Pizza Ontology, we translate "hasTopping" to strings like "en:has topping". We also want to express "en:is the topping of" in a natural language. (Our application semantics needs it.) That's a reason to create the inverse property "isToppingOf": To have an instance, respective an URI, our translations can refer to.

Can I use OWL API to enforce specific subject-predicate-object relationships?

I am working on a project using RDF data and I am thinking about implementing a data cleanup method which will run against an RDF triples dataset and flag triples which do not match a certain pattern, based on a custom ontology.
For example, I would like to enforce that class http://myontology/A must denote http://myontology/Busing the predicate http://myontology/denotes. Any instance of Class A which does not denote an instance of Class B should be flagged.
I am wondering if a tool such as the OWLReasoner from OWL-API would have the capability to accomplish something like this, if I designed a custom axiom for the Reasoner. I have reviewed the documentation here: http://owlcs.github.io/owlapi/apidocs_4/org/semanticweb/owlapi/reasoner/OWLReasoner.html
It seems to me that the methods available with the Reasoner might not be up for the purpose which I would like to use them for, but I'm wondering if anyone has experience using OWL-API for this purpose, or knows another tool which could do the trick.
Generally speaking, OWL reasoning is not well suited to finding information that's missing in the input and flagging it up: for example, if you create a class that asserts that an instance of A has exactly one denote relation to an instance of B, and have an instance of A that does not, under Open World assumption the reasoner will just assume that the missing statement is not available, not that you're in violation.
It would be possible to detect incorrect denote uses - if, instead of relating to an instance of B, the relation was to an instance of a class disjoint with B. But this seems a different use case than the one you're after.
You can implement code with the OWL API to do this check, but it likely wouldn't benefit from the ability to reason, and given that you're working at the RDF level I'd think an API like Apache Jena might actually work better for you (you won't need to worry if your input file is not OWL compliant, for example).

Generate individuals from OWL class defintion

I'm fairly new to ontologies and have the following situation:
Given a class definition, I want to automatically generate individuals based on all possible combinations of a given restriction.
For example:
Let's say a "Pizza" class has the property "hasTopping" which is supposed to be linked to an individual of class "Topping". I want to generate an individual of the class Pizza for each individual existing for a Topping. If there are two Topping individuals, Tomato and Cheese, I want to create one Pizza individual with "hasTopping Tomato" and one with "hasTopping Cheese".
Is there any general way to generate individuals in ontologies like this? (As an alternative to implement it myself.)
Is this "violating" the intent/purpose of ontologies in general? Would this usually be handled in a different way? (I'm not completely familiar with ontologies yet.)
There's no standard method to do this, so I think you'll have to implement it yourself. The Leigh University Benchmark does something similar, so it might provide you with some ideas: http://swat.cse.lehigh.edu/projects/lubm/
I don't think this violates the idea behind ontologies at all - seems quite straightforward. There is no best practice for it, so however you choose to implement it will probably be adequate.

Teaching: Field, Class & Package Relationships

In general I think I can convey most programming related concepts quite well.
Yet, I still find it hard to summarise the relationship between Fields, Classes and Packages.
How do You summarise "Fields", "Classes" and "Packages" and "Their Relationship" ?
I've faced a similar problem since I taught C, C++, and Java.
Here is what I do:
First, I keep packages separately and explain them in the end.
Ideally, in my opinion, students should first learn about ADTs, preferably in C. They have the struct, they have the separate operations on it. Fields are then simply the "slots" in the struct and you can even show the memory layout to demonstrate it. Functions are separate entities that operate on those structs.
You then make the transition to classes, methods, and fields and show that in essence (barring inheritance and some anecdotes) they are in many ways syntactic sugar for ADTs.
If you need, you can then teach object layouts, inheritance, and virtual tables (in my experience it helps students understand inheritance better to see the memory layout).
Finally you get to the topic of how to organize classes together. If you teach C++, you don't really have packages but you can explain namespaces and discuss organization and separate compilation.
If you are in Java, then you just explain that these are collections of classes in the same namespace, that have special access rules and show them. The package system in Java is kind of broken anyway so I usually go through patterns (e.g., separating a UI package from the C).
So in summary: Classes form the basis for objects that are a memory arrangement of several fields and associated methods that operate on them. Packages are collections of classes that have one more access restriction mechanism.
The way I describe it is:
Objects are collections of slots, slots holding data are fields, slots holding code are methods. Public slots are on the outside of the object, private slots are on the inside. Methods should be mostly public because an object offers services to clients, fields should be private so clients don't know how the services work. Fields are therefore an implementation detail of objects.
Class names need to be unique, so that you can combine your code with third party libraries. Simple/short class names are insufficient, since there are probably thousands of classes called 'List', 'Customer' etc... Hence classes are placed in packages to create longer, harder to duplicate names. Only a subset of the classes in the package need to be visible to clients, hence the two access levels of public and default. This allows a package to function as a library.
So fields are an implementation detail of objects, whose classes live in packages to guarantee unique names and provide library-like modularity.
Depending on the age of the person you're trying to explain it to, there's a simple analogy that can be used: tax forms. A tax form (such as the 1040EZ, for instance) is like a class, and each space to be filled in on the form is a field of the form. The tax form even contains instructions on what to be done with the information in the fields, just as a class includes member functions to be performed on the data in the fields. And just as a complete set of tax forms includes not just the main tax form, but others that may need to be filled out (additional schedules, for example) so a package contains not just the main classes but other classes it may need to interact with.
Fields are variables that belong to the class, or to object instances of the class. The difference between a local variable and a field is that fields have a broader scope.
Classes are templates for user-defined data types. Classes are more advanced than the primitive data types because they have both state and behavior.
Packages are used to group classes and to resolve potential naming conflicts. With multiple developers and publicly available code libraries it's very likely that some of us will name our classes the same (Math, LinkedList, FileUtils, etc.). Having a unique package name prefixing the class name allows the compiler (and other developers) to determine which class you intend to use.
Interestingly, you tackled OO programming without mentioning objects. I think that may be your problem.
Here's what I use.
Objects are things. They have attributes (measurements, states of being, etc.) Attributes can be called fields. [I often use things I find in the classroom -- cups, markers, hats, coats, etc., to illustrate this.]
Objects also engage in behaviors, called methods, method functions or operations.
The features (attributes and operations, fields and methods, whatever) of an object provide a way to classify objects.
The features that are common to a class of objects is -- well -- can be collected into a class definition. A class definition describes the attributes and methods of the objects that are members of the class.
A package is a collection of class definitions. While -- ideally -- the classes in a package have something in common, that isn't a requirement and isn't a helpful distinction.

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