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This study aims to understand the epistemic foundation of the classification applied in the first Chinese library catalogue, the Seven Epitomes (Qilue).

Originating from a theoretical stance that situates knowledge organization in its social context, the study applies a multifaceted framework pertaining to five categories of textual data: the Seven Epitomes; biographical information about the classificationist Liu Xin; and the relevant intellectual, political, and technological history.

The study discovers seven principles contributing to the epistemic foundation of the catalogue's classification: the Han imperial library collection imposed as the literary warrant; government functions considered for structuring texts; classicist morality determining the main classificatory structure; knowledge perceived and organized as a unity; objects, rather than subjects, of concern affecting categories at the main class level; correlative thinking connecting all text categories to a supreme knowledge embodied by the Six Classics; and classicist moral values resulting in both vertical and horizontal hierarchies among categories as well as texts.

A major limitation of the study is its focus on the main classes, with limited attention to subclasses. Future research can extend the analysis to examine subclasses of the same scheme. Findings from these studies may lead to a comparison between the epistemic approach in the target classification and the analytic one common in today's bibliographic classification.

The study is the first to examine in depth the epistemic foundation of traditional Chinese bibliographic classification, anchoring the classification in its appropriate social and historical context.

The purpose of the article is to create a knowledge classification model that can be used by knowledge management (KM) practitioners for establishing a knowledge management framework (KMF) in a supply chain (SC) network. Epistemological and ontological aspects of knowledge have been examined. SC networks provide a more generic setting for managing knowledge due to the additional issues concerning flow of knowledge across the boundaries of organizations.

Morphological analysis has been used to build the knowledge classification model. Morphological approach is particularly useful in exploratory research on concepts/entities having multiple dimensions. Knowledge itself has been shown in literature to have many characteristics, and the methodology used has enabled a comprehensive classification scheme based on such characteristics.

A single comprehensive classification model for knowledge that exists in SC networks has been proposed. Nine characteristics, each possessing two or more value options, have been finally included in the model.

Knowledge characteristics have been mostly derived from past research with the exception of three which have been introduced without empirical evidence. Although the article is primarily about SC knowledge, the results are fairly generic.

The proposed model would be of use in developing KM policies, procedures and establishing knowledge management systems in SC networks. The model will cater to both system and people aspects of a KMF.

The proposed knowledge classification model based on morphological analysis fills a gap in a vital area of research in KM as well as SC management. No similar classification model of knowledge with all its dimensions has been found in literature.

Classification is an important process in making sense of the world, and has a pronounced social dimension. This paper aims to compare folksonomy, a new social classification system currently being developed on the web, with conventional taxonomy in the light of theoretical sociological and anthropological approaches. The co‐existence of these two types of classification system raises the questions: Will and should taxonomies be hybridized with folksonomies? What can each of these systems contribute to information‐searching processes, and how can the sociology of knowledge provide an answer to these questions? This paper aims also to address these issues.

This paper is situated at the meeting point of the sociology of knowledge, epistemology and information science and aims at examining systems of classification in the light of both classical theory and current late‐modern sociological and anthropological approaches.

Using theoretical approaches current in the sociology of science and knowledge, the paper envisages two divergent possible outcomes.

While concentrating on classifications systems, this paper addresses the more general social issue of what we know and how it is known. The concept of hybrid knowledge is suggested in order to illuminate the epistemological basis of late‐modern knowledge being constructed by hybridizing contradictory modern knowledge categories, such as the subjective with the objective and the social with the natural. Integrating tree‐like taxonomies with folksonomies or, in other words, generating a naturalized structural order of objective relations with social, subjective classification systems, can create a vast range of hybrid knowledge.

This paper reports on the design of a knowledge base for an automatic classification in the library science field, by using the facet classification principles of colon classification (CC). To do so, by designing and constructing a knowledge base that is able to be classified automatically, and by inputting titles or key words of volumes into the computer, it aims to create class numbers automatically through automatic subject recognition and processing of key words in titles through the facet combination method of CC. Especially, the knowledge base for classification was designed along with the principle of globe and cylinder, automatic classification which can be possible.

SUMMARY A classification is a theory of the structure of knowledge. From a discussion of the nature of truth, it is held that scientific knowledge is the only knowledge which can be regarded as true. The method of induction from empirical data is therefore applied to the construction of a classification. Items of knowledge are divided into uniquely definable terms, called isolates, and the relations between them, called operators. It is shown that only four basic operators exist, expressing appurtenance, equivalence, reaction, and causation; using symbols for these operators, all subjects can be analysed in a linear form called an analet. With the addition of the permissible permutations of such analets, formed according to simple rules, alphabetical arrangement of the first terms provides a complete, logical subject index. Examples are given, and possible difficulties are considered. A classification can then be constructed by selection of deductive relations, arranged in hierarchical form. The nature of possible classifications is discussed. It is claimed that such an inductively constructed classification is the only true representation of the structure of knowledge, and that these principles provide a simple technique for accurately and fully indexing and classifying any given set of data, with complete flexibility.

Global competition has pushed firms to improve and upgrade their manufacturing operations continuously. Explores the role of knowledge base and learning to facilitate this phenomenon. Developing a knowledge base requires organising knowledge and expertise for a field of inquiry and making it available in formats suitable for users to support and aid various operational, developmental, and organisational functions. Classification and coding form the basis for organising knowledge bases. Classification implies grouping objects into similar classes on the basis of some similarity criteria pertinent to one or more attributes. Learning in the context of classification implies discovering new attributes, bases for grouping and requires frequent updating of the knowledge base. A formal knowledge base makes a firm’s knowledge cumulative and serves an important integrating and coordinating role for the organisation. Presents an example application utilizing classification as a tool for knowledge acquisition in design support activities.

This paper seeks to outline the central role of concepts in the knowledge universe, and the intertwining roles of works, instantiations, and documents. In particular the authors are interested in ontological and epistemological aspects of concepts and in the question to which extent there is a need for natural languages to link concepts to create meaningful patterns.

The authors describe the quest for the smallest elements of knowledge from a historical perspective. They focus on the metaphor of the universe of knowledge and its impact on classification and retrieval of concepts. They outline the major components of an elementary theory of knowledge interaction.

The paper outlines the major components of an elementary theory of knowledge interaction that is based on the structure of knowledge rather than on the content of documents, in which semantics becomes not a matter of synonymous concepts, but rather of coordinating knowledge structures. The evidence is derived from existing empirical research.

The paper shifts the bases for knowledge organization from a search for a universal order to an understanding of a universal structure within which many context‐dependent orders are possible.

Classification systems play a fundamental role in the organization, display, retrieval and access to the knowledge materials in libraries. These systems have served the purpose adequately in most of knowledge areas; nevertheless, some grey areas lack proper place and enumeration in these systems. Islamic knowledge is among the areas that have not been properly addressed. The purpose of this paper is to examine this problem and indicate a potential solution.

This paper expands on the author's earlier research which focused on Pakistan library collections. Empirical data have been collected from 16 LIS scholars who have interest in or expertise on this issue through interviews. Scholars are from Pakistan, India, Malaysia, Iran, Saudi Arabia, Egypt, the UK, the USA and Canada. A review of the literature is also presented.

A number of approaches have been taken to work around the deficiencies of the standard classification systems when it comes to Islamic knowledge and publications, including indigenous systems and expansions. Details of some of these are presented. A range of possible improvements to existing classification systems was suggested by scholars, and an outline of what is required in a new, independent system is discussed, along with ideas about the best way for this system to be developed.

The paper discusses an area of professional concern that has been discussed widely in Islamic countries, but only in a limited fashion outside of Islamic countries. Thus, the paper should be of interest to researchers and practitioners interested in cataloguing and classification theory.

The purpose of this paper is to discuss deployment of cultural warrant in intercultural environment, aiming to better achieve ethical warrant.

This paper synthesizes research on cultural warrant and classification, and uses examples of the Dewey Decimal Classification (DDC) to illustrate cultural warrant in a case of cross-cultural adaptation of bibliographic classification.

The notion of intercultural warrant was suggested as an operational approach to cultural warrant in the context of intercultural use of Knowledge Organization System (KOS).

The research focuses on discussions of cultural warrant in the context of intercultural uses of KOS but lacking diverse examples of KOS and beyond (such as descriptive metadata standards).

This paper suggests the development of intercultural warrant as a theoretical view to understand classification systems commonly used worldwide and a path to achieve ethical treatments of cultures in such systems.

The purpose of this paper is to compare the cataloguing and classification curriculum offered in South African LIS schools and the job market requirement for cataloguers in South Africa (SA). It was instigated by the changes that have occurred in the LIS field over the past decade, especially in cataloguing and classification.

An interpretive, qualitative approach was used, and content analysis was used as a research and data analysis method. Data were obtained from 3 sources: cataloguing and classification course outlines obtained from 6 LIS schools, 18 interviews conducted with professional cataloguers and 10 job advertisements obtained through newspaper scanning and from the LIASA listserv.

The results indicate that LIS schools teach basic and advanced cataloguing and classification theory and practical topics. The main objective of the courses is to teach students knowledge organisation. The subjects are offered at bachelor’s degree and postgraduate diploma levels. Tools such as AACR2, RDA, MARC21, DDC and LCSH are mainly used to teach the courses. Professional cataloguers and job advertisements indicate that employers require the knowledge and skills to use the above-mentioned tools. Job advertisements also indicate that a national diploma and two years’ work experience are the minimum requirements for employing cataloguers.

This paper will inform academics whether they are teaching the relevant curriculum. If not, they will have to implement changes or improvements to the current curriculum. It will also help employers get a picture of what is offered in LIS schools and make judgements on whether it is relevant in the job market or not.

This paper has compared what is offered in LIS schools and what is required in the job market and found that there is match between what is offered and required, although there are areas to be improved. This is the first paper to establish that link in SA.