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Minor fix (paragraph 13; lines 32, 36, 49) #1

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8 changes: 4 additions & 4 deletions README.md
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Expand Up @@ -10,7 +10,7 @@ This repository contains descriptions that succinctly explain how to develop an
- Ontology Services: https://www.slideshare.net/RobertRovetto/ontology-services-238070099

## Stages of Ontology Development
A generic ontology development methodology includes the following activities: identifying and scoping your topic area; corpus or domain material research; listing or creating a defined set of terms, a taxonomy and classificaiton system; and both applications of and data for that system. It is **iterative** and **non-linear**: some phases of the development process may be performed concurrently and revisited.
A generic ontology development methodology includes the following activities: identifying and scoping your topic area; corpus or domain material research; listing or creating a defined set of terms, a taxonomy and classification system; and both applications of and data for that system. It is **iterative** and **non-linear**: some phases of the development process may be performed concurrently and revisited.

### 1. Purpose & Subject matter
- Identify purpose(s) or function(s) for the ontology. _What is it for?_
Expand All @@ -29,11 +29,11 @@ A generic ontology development methodology includes the following activities: id
- Identify what will be required to realize the purpose and apply to the use-cases.
- State specification details:
- What natural language?
- What computable lanuage (knowlede representation and reasoning language / implementation langauges)?
- What computable language (knowledge representation and reasoning language / implementation languages)?
- Stylistic conventions, e.g., naming conventions for terms/labels, etc.
- Identify or create competency questions: queries that the ontology (and datasets) can be asked computationally.
- Select, Acquire or Develop resources and tools, e.g., ontology editor software, knowledge representation languages,
- Corpora (research documents, domain knowledge), data sources, contibutors, partners, subject-matter experts, etc.
- Corpora (research documents, domain knowledge), data sources, contributors, partners, subject-matter experts, etc.

### 6. Research & Conceptual Analysis of the Subject/domain
- Examine the target subject matter. Try to identify essential concepts, themes, challenges, etc. Gain a big-picture understanding.
Expand All @@ -46,7 +46,7 @@ A generic ontology development methodology includes the following activities: id
### 8. Definitions
- Identify the intended meaning for each of the list of things, concepts and terms.
- You may begin with some intended meaning or concept, and the form a term that most clearly expresses it.
- Research definitions (of key terms) from corpus material: dictionaries, academia, journal publicaitons, subject-matter experts, etc.
- Research definitions (of key terms) from corpus material: dictionaries, academia, journal publications, subject-matter experts, etc.
- Identify undefined (primitive) terms.
- Write definitions in natural-language that most closely expresses that intended meaning.
- For all primitive terms, state they are undefined, but also provide a clarifying note to provide the user with some sense of meaning.
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