ArticleslgStudy

science

Ontology chart

Ontology chart is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Ontology chart rather than just read about it. In short: An ontology chart is a type of chart used in semiotics and software engineering to illustrate an ontology. Overview The nodes of an ontology chart represent universal affordances and rarely represent particulars.

Ontology chart — main illustration
Ontology chart — illustration

Key takeaways

  • Ontology chart belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Ontology chart to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Ontology chart from memory before moving on to harder problems.

Reference excerpt

An ontology chart is a type of chart used in semiotics and software engineering to illustrate an ontology.

Overview The nodes of an ontology chart represent universal affordances and rarely represent particulars. The exception is the root which is a particular agent often labelled ‘society’ and located on the extreme left of an ontology chart. The root is often dropped in practice but is implied in every ontology chart. If any other particular is present in an ontology chart it is recognised by the ‘#’ sign prefix and upper case letters. In our ontology chart the node labelled #IBM is a particular organisation. The arcs represent ontological dependency relations directed from left to right. The right affordance is ontologically dependent on the left affordance. The left affordance is the ontological antecedent of the right affordance. A special category of affordances are determiners. They are recognised by the ‘#’ sign prefix. The two examples above are #hourly rate and #name. All determiners have a second antecedent – the measurement standard. They are usually dropped from the ontology chart but they are implied and obvious. In the case of hourly rate and name they are currency and language respectively. The names on the arcs are role names of the carrier, the left node, in the relationship node on the right. For example, the ‘employee’ is the role name of a person while in employment. No ontology chart node has more than two ontological antecedents. Where you find an arc on the ontology chart between a role name and a node, read that as an arc between the right hand side of the role name. So the arc from employee to works at is an arc between employment and works at Mathematically, ontology charts are a graphical representation of semi-lattice structures; specifically they are Hasse diagrams of a single root and no cycles. Ontological dependency is a relationship known mathematically as a partial order set relation (poset). Posets are an object of study in the mathematical discipline of order theory. They belong to the class of binary relations but they have three additional properties: reflexivity, anti-symmetry and transitivity. Ontological dependency is a special poset because it is a binary relation, every thing is ontologically dependent on itself for its existence, two things that are mutually ontologically dependent must be the same thing and if a depends on b and b depends on c then a depends on c. The last of these properties - the transitive property of posets - was exploited by Helmut Hasse to give us the Hasse diagram - a diagram of incredible power, simplicity and if drawn well elegant as well. Because ontology charts have a root that all affordances (realisations/things) are ultimately dependent upon for their existence, they are graphical representation of semi-lattices.

See also Semantic analysis (knowledge representation) Human Computer Interaction

References

Further reading Ades, Y, Farouk Ben-Oman, Iman Poernomo, George Tsaramirsis (2007). Mapping Ontology Charts to Class Diagrams, ICOS2007. Ades, Y. (1999). "Semantic Normal Form: Compliance". In: Proc. Workshop on Organisational Semiotics, Almelo October 12–14, University of Twente. BCS (2004). The Challenges of Complex IT Projects. The report of a working group from The Royal Academy of Engineering and The British Computer Society, April Kecheng, L. (2000) Semiotics in information systems engineering. Cambridge University Press. Stamper, R.K. and Ades, Y.(2004) "Semantic Normal Form and System Quality". In: Proc. IEE Conference on Requirements Engineering, Kyoto, 2004 Ronald Stamper, Backhouse, J., Marche, S., Althaus, K. (1987) "Semantic Normal Form?". In: Proc. of Informatics 9. Conference jointly sponsored by Aslib & BCS, Kings College, Cambridge 26–27 March. Ronald Stamper (1994). "Social norms in requirements analysis – an outline of MEASUR" Chapter 5 of Requirements Engineering: Social and Technical Issues. Edited by Jirotka, M. and Gougen, J.. New York Academic Press. Ronald Stamper (1996): "Signs, Information, Norms and Systems". In B. Holmqvist et al. (eds). Signs at Work. De Gruyter, Berlin 349–397

External links Semantic Analysis Toolkit

Illustrations

Ontology chart: The case study used here to illustrate the transformation process is a slight adaptation of the case used by Bonacin (2004).[1]
The case study used here to illustrate the transformation process is a slight adaptation of the case used by Bonacin (2004).[1]

Worked examples

Example 1 — a first encounter with Ontology chart

Start with the simplest possible case. Write down what Ontology chart claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Ontology chart before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Ontology chart ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Ontology chart

In research
Ontology chart appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Ontology chart in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Ontology chart is common in secondary-school and first-year university syllabi. It links to neighbouring topics Charts, Ontology (information science), so understanding it makes those chapters shorter.
In everyday life
Look for Ontology chart outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Ontology chart in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Ontology chart means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Ontology chart out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Ontology chart in simple terms?

An ontology chart is a type of chart used in semiotics and software engineering to illustrate an ontology. Overview The nodes of an ontology chart represent universal affordances and rarely represent particulars.

Why does Ontology chart matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Ontology chart?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Ontology chart.

Tags

  • Charts
  • Ontology (information science)

Keep exploring