diff --git a/README.md b/README.md index f6d55a3..22bf3bd 100644 --- a/README.md +++ b/README.md @@ -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?_ @@ -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. @@ -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.