Knowledge Organization System
Knowledge is the most precious kind of information. Knowledge is accumulated, trusted, shared, interpreted information which is understood within some context giving the information meaning. Meaning is not something inherent. Meaning is consciously and deliberately produced through shared human systems, shaped by context, and sustained by communities of stakeholders.
A knowledge organization system (KOS) is a broad but neutral umbrella term that seems to be evolving and spans traditional library tools and modern information science and semantic web structures. Knowledge organization systems include a variety of approaches that are fundamentally used to organize, manage, and support retrieval and to make use of information. A knowledge organization system is a tool for organizing that shared, trusted accumulated information which forms knowledge for a group of stakeholders.
A knowledge organization system includes capabilities to specify the following in human interpretable and/or machine interpretable form and are described independent of any implementation: (Logical Theory)
- Controlled vocabulary (a.k.a. dictionary, name authority) which used to specify privative and compound elements.
- Metadata which enables classification and categorization and establishes identity of elements.
- Taxonomy which imposes hierarchy of connections of different types of elements.
- Thesaurus which maps association and equivalence of elements.
- Schema which enforces structural validity of composition of compound elements.
- Ontology which enables reasoning based on the formal rules of logic.
- Conditions (a.k.a. assertions, restrictions, constraints, rules) which must be universally satisfied which enable verification of knowledge represented within the system.
- Knowledge graph which integrates the controlled vocabulary, metadata, taxonomy, thesaurus, schema, ontology, conditions, and facts (a.k.a. measurements, observations) into one unified queryable whole.
I refer to the combination of all of the above as a theory which described organized knowledge and for which a formal proof may be provided which confirms that a knowledge organization system is working as would be expected.
Approaches can be put into a spectrum or range of capabilities that spans from a simple and less powerful list of terms such as a dictionary to a significantly more powerful and machine-interpretable ontologies and the knowledge graphs explained by those ontologies using capabilities such as the Semantic Web Stack.
There are many different ways to describe a knowledge organization system as shown by this mind map below provided by the International Society of Knowledge Organization (ISKO):
The point is to be complete and to consciously govern a collection of knowledge to minimize epistemic risk.Additional Information:
- Knowledge Organization Systems: When to Scale Up
- International Society of Knowledge Organization (ISKO)
- Council on Library and Information Resources (CLIR)
- Simple Knowledge Organization System (SKOS)
- ISKO (W3C SKOS)
- W3C | SKOS Reference (W3C SKOS)
- European Commission (W3C SKOS)
- Enterprise Knowledge (W3C SKOS)
- DATA.gov (W3C SKOS)
- ISO 25964 (Thesaurus)
- ANSI/NISO (Controlled vocabularies)
- Intersubjectivity

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