Knowledge organization

About: Knowledge organization is a research topic. Over the lifetime, 1898 publications have been published within this topic receiving 23541 citations. The topic is also known as: KO & information organisation.

The Knowing Organization: How Organizations Use Information to Construct Meaning, Create Knowledge, and Make Decisions

Abstract: An organization uses information strategically in three areas: to make sense of change in its environment; to create new knowledge for innovation; and to make decisions about courses of action. These apparently distinct processes are in fact complementary pieces of a larger canvas, and the information behaviors analyzed in each approach interweave into a richer explanation of information use in organizations. Through sensemaking, people in an organization give meaning to the events and actions of the organization. Through knowledge creation, the insights of individuals are converted into knowledge that can be used to design new products or improve performance. Finally, in decision making, understanding and knowledge are focused on the selection of and commitment to an appropriate course of action. By holistically managing its sensemaking, knowledge building and decision-making processes, the Knowing Organization will have the necessary understanding and knowledge to act wisely and decisively.

Pathfinder associative networks: studies in knowledge organization

Abstract: This volume is a presentation of the theory and application of Pathfinder networks. These networks are derived from proximity data, and they have various applications in cognitive modelling, user-computer interface design, and knowledge engineering.

SKOS Simple Knowledge Organization System Reference

Abstract: This document defines the Simple Knowledge Organization System (SKOS), a common data model for sharing and linking knowledge organization systems via the Web.Many knowledge organization systems, such as thesauri, taxonomies, classification schemes and subject heading systems, share a similar structure, and are used in similar applications. SKOS captures much of this similarity and makes it explicit, to enable data and technology sharing across diverse applications.The SKOS data model provides a standard, low-cost migration path for porting existing knowledge organization systems to the Semantic Web. SKOS also provides a lightweight, intuitive language for developing and sharing new knowledge organization systems. It may be used on its own, or in combination with formal knowledge representation languages such as the Web Ontology language (OWL).This document is the normative specification of the Simple Knowledge Organization System. It is intended for readers who are involved in the design and implementation of information systems, and who already have a good understanding of Semantic Web technology, especially RDF and OWL.For an informative guide to using SKOS, see the [SKOS-PRIMER].

Studies in Classification Data Analysis and knowledge Organization

Abstract: Studies in Classification, Data Analysis, and Knowledge Organization is a book series which offers constant and up-to-date information on the most recent developments and methods in the fields of statistical data analysis, exploratory statistics, classification and clustering, handling of information and ordering of knowledge. It covers a broad scope of theoretical, methodological as well as application-oriented articles, surveys and discussions from an international authorship and includes fields like computational statistics, pattern recognition, biological taxonomy, DNA and genome analysis, marketing, finance and other areas in economics, databases and the internet. A major purpose is to show the intimate interplay between various, seemingly unrelated domains and to foster the cooperation between mathematicians, statisticians, computer scientists and practitioners by offering well-based and innovative solutions to urgent problems of practice.