BIBLIOGRAPHIC SYSTEMS FOR KNOWLEDGE ORGANIZATION

Abstract

Today, when the entire library profession is essentially focused on the development, application and adaptation of traditional aids to the new technological environment, this knowledge is becoming sought after outside the domain of the library profession. It is certain, however, that the mentioned traditional knowledge and skills should be developed with a completely new context of communication and a new environment in mind.

Accessibility, reliability, consistency and relevance of data and information on recorded knowledge also raise the question of organization and presentation of recorded knowledge. In this paper, the authors talk about bibliographic classification systems used for the organization of knowledge and question their use and effectiveness in the Internet environment. The Semantic Web (SW) was gradually developed and shaped through a network of related data, part of which was built using semantics stored in existing knowledge organization (KOS) systems, subject metadata, and resource metadata.

Bibliographic classifications are designed to organize, present, and impart knowledge that offers both rich terminology and different ways in which concepts can be categorized and interrelated. In this paper, we will consider some ways in which universal classifications, as language-independent schemas, can help people and computers structure and present information. Most importantly, we highlight issues important for understanding bibliographic classifications, in terms of their untapped potential.

Bibliographic or documentary classifications are a special type of knowledge classification intended for the mediation of knowledge. Their unique feature is that they do not deal with objects or entities, as other classifications of knowledge, but with objects, ie the ways in which entities are described in documents. Bibliographic classifications will systematize phenomena and topics that can be studied in relation to these phenomena, but will also provide the vocabulary needed to express the types of knowledge presentation, attitudes, target audiences, or document forms.

Since the content of a document is a complex construction that needs to be described by a series of concepts in different relationships, classification can also provide rules on how to express complex interactions between knowledge phenomena as they appear in documents.

Since the content of a document is a complex construction that needs to be described by a series of concepts in different relationships, classification can also provide rules on how to express complex interactions between knowledge phenomena as they appear in documents.

Classification and indexing are an intellectually and professionally complex, expensive and time-consuming process. For most text retrieval tasks, various automatic word processing models and advanced techniques such as statistical models or language models will give good results. However, not all documents are available in digital form and not all digital documents are textual, in the same language or script. Equally, not all digital collections are available or available in an open networked environment and will not be easily processed by otherwise successful data and knowledge collection methods. The task of merging and integrating the information contained in inherited collections into the knowledge network is still ahead of us. Implementation of knowledge classification

Therefore, we believe that the interest in bibliographic classification systems with wider use on the Internet will affect their maintenance and development. The three general bibliographic classifications most commonly used in international use are: the Dewey Decimal Classification (DDC), the Universal Decimal Classification (UDC), and the Library of Congress Classification (LCC). These classifications are used in most countries and bibliographic collections and are considered de facto standards in the exchange of information on recorded knowledge