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Soft ontology

Soft ontology 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 Soft ontology rather than just read about it. In short: The term "soft ontology", coined by Eli Hirsch in 1993, refers to the embracing or reconciling of apparent ontological differences, by means of relevant distinctions and contextual analyses. Overview Hirsch used the term to broaden and expand on what William James discussed in his landmark 1907 work in epistemology, Pragmatism.

Key takeaways

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

Reference excerpt

The term "soft ontology", coined by Eli Hirsch in 1993, refers to the embracing or reconciling of apparent ontological differences, by means of relevant distinctions and contextual analyses.

Overview Hirsch used the term to broaden and expand on what William James discussed in his landmark 1907 work in epistemology, Pragmatism. James gave a now famous example of dispute over a squirrel:

The corpus of the dispute was a squirrel--a live squirrel supposed to be clinging to one side of a tree-trunk; while over against the tree's opposite side a human being was imagined to stand. This human witness tries to get sight of the squirrel by moving rapidly round the tree, but no matter how fast he goes, the squirrel moves as fast in the opposite direction, and always keeps the tree between himself and the man, so that never a glimpse of him is caught. The resultant metaphysical problem now is this: DOES THE MAN GO ROUND THE SQUIRREL OR NOT?

James' solution was that by clarifying "pragmatically" whether "around" meant traversing north/east/south/west of something versus traversing left/right/before/behind something, the dispute was readily solvable. Hirsch actually calls James' example a "verbal" dispute and explains, at some length, the connection between verbal and soft ontological disagreements (they are, according to Hirsch, partly but not completely overlapping sets of problems). Soft ontological dilemmas are contrasted with hard ones—those which would not admit of translation, reconciliation, or overlap, and would instead require a systematic or paradigmatic shift of one's ontology. One can choose to construct a hard or soft ontology, depending on the flexibility one intends to obtain. Other related terms in philosophy and in cognitive science include "ontological relativity" (as in Quine) and "cognitive relativism" (as in Jack Meiland).

Computer science (unrelated terminology) Soft ontology, as proposed in computer science circles by Aviles et al. (2003), is a definition of a domain in terms of a flexible set of ontological dimensions. It can be regarded as a subclass of ontologies as they are conceived of in computer science, in Gruber's terms (1993) as definitions of conceptualization. Unlike standard ontologies, the approach allows the number of its constitutive concepts to increase or decrease dynamically, any subsets of the ontology to be taken into account at a time, or the order their mutual weight or priority to vary in a graded manner so as to allow different ontological perspectives. Where conventional ontologies describe or interpret the conceptualization of a domain from a prioritized perspective, the soft ontology approach transfers the task of interpretation to the observer, user or learner, depending on the context. (see Weak ontology)

Application areas in the information sciences The approach is particularly applicable for expert practices that intend to present raw content or data without presenting any authoritative taxonomy or categorization. It also serves to support neutrality for domains such as ethics, politics, aesthetics or philosophy, in which there may not exist a single authorized conceptualization or truth, or it may be instrumental to present a range of perspectives to the domain. Soft ontologies also result inherently from user-defined ontology practices, such as folksonomies or tagging practices ("tagsonomies"), characteristic of many contemporary user-driven media genres.

References Pietarila, J.; Diaz-Kommonen, L.; Collao, J.; Kaipainen, M. (2003). "Soft Ontologies and Similarity Cluster Tools to Facilitate Exploration and Discovery of Cultural Heritage Resources". 2012 23rd International Workshop on Database and Expert Systems Applications, Prague, Czech Republic. pp. 75–79. doi:10.1109/DEXA.2003.1232001. ISBN 0-7695-1993-8. S2CID 7928121. Gruber, T.R. (1993). "A translation approach to portable ontologies". Knowledge Acquisition. 5 (2): 199–220. CiteSeerX 10.1.1.117.3273. doi:10.1006/knac.1993.1008. Archived from the original on 2007-02-10. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help) Hirsch, Eli (1993). Dividing Reality. Oxford University Press. ISBN 978-0-19-505754-6. James, William (1907). Pragmatism, a New Name for Some Old Ways of Thinking: Popular Lectures on Philosophy. Longmans, Green. Meiland, J.W.; Krausz, M. (1982). Relativism, Cognitive and Moral. University of Notre Dame Press. ISBN 978-0-268-01611-1. Quine, W.V.O. (2005). Ontological Relativity and Other Essays. Columbia University Press. ISBN 978-0-231-13611-2.

Worked examples

Example 1 — a first encounter with Soft ontology

Start with the simplest possible case. Write down what Soft ontology 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 Soft ontology 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 Soft ontology 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 Soft ontology

In research
Soft ontology 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 Soft ontology 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
Soft ontology is common in secondary-school and first-year university syllabi. It links to neighbouring topics Ontology (information science), so understanding it makes those chapters shorter.
In everyday life
Look for Soft ontology 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.
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How to study Soft ontology in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Soft ontology 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 Soft ontology out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Soft ontology in simple terms?

The term "soft ontology", coined by Eli Hirsch in 1993, refers to the embracing or reconciling of apparent ontological differences, by means of relevant distinctions and contextual analyses. Overview Hirsch used the term to broaden and expand on what William James discussed in his landmark 1907 wor…

Why does Soft ontology 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 Soft ontology?

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 Soft ontology.

Tags

  • Ontology (information science)

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