Knowledge Organization
| Collection | GlossariumBITri |
|---|---|
| Author | Jorge Morato-Lara Sonia Sánchez-Cuadrado |
| Editor | Sonia Sánchez-Cuadrado |
| Year | 2010 |
| Volume | 1 |
| Number | 1 |
| ID | 64 |
| Object type | Discipline |
| Domain | Information Society Knowledge Management Lis |
| es | organización del conocimiento |
| fr | organisation de la connaissances |
| de | WissensOrganisation |
Knowledge Organization (KO) is a field of study that comprises techniques to organize documents, concepts, and relationships among them. One of the tasks that KO carries out is to increase the interoperability mechanisms to enable a way to employ these techniques in a worldwide media. Related fields are information classification, information retrieval, information visualization, and knowledge acquisition, amongst others.
It should not be confused with knowledge management (KM), since the latter is focused on the field of organizations, whereas KO has a more general orientation, less focused on the concrete returns of organizations, which objectives are more concrete and explicit. Nevertheless, KM is supported by KO as one of its basic processes and techniques.
A great number of methods to organize knowledge are based on principles stated by librarians. Some librarian resources used in KO are controlled vocabularies and classification schemes (v. indexing language, thesaurus, and taxonomy).
Fields related are often overlapped, some of these fields and the resources that they develop are:
Linguistics: NLP tools like taggers, stemmers, terminological and lexical databases, etc.
Artificial Intelligence: ontologies, neural networks, and reasoning engines.
Statistics and data mining: classifier and clustering algorithms.
Information Extraction and Retrieval: named entities recognition and classification, correference resolution, etc.
Librarian and information science: resources controlled vocabularies and classification schemes, indexing techniques, metadata vocabularies.
Computer science: design applications to organize and retrieve.
References
- ZENG, M.L. & CHAN, L.M. (2004) Trends and issues in establishing interoperability among knowledge organization systems. Journal of the American Society for Information Science and Technology, 55 (5), pp. 377-395.