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Abstract

Classification and indexing are two main tools to organize information to serve the users. Information architecture is nothing more than to organize better to achieve this goal. Any user seeks easy access and speed to reach one's information needs. Classifier/ indexer must interpret or estimate the users' need in best possible terms. Ranking algorithms such as Boolean, Vector or others is highly recommended and practiced. Some define Retrieval Strategies as a measure of similarity between a quarry and document. Relevance is a criterion for matching about ness. About ness is a criterion for decision- making. Better indexing as well as better classification is a key point to reach the ultimate goal in record management. Some suggestions are made for those who create databases, provide information engines or manage the information.

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Abstract

In this article the relationship between classification/indexing and retrieval is discussed. In library and information science, classification and retrieval have always been closely associated with each other. But in certain ages, because of a lack of interest in applying knowledge, it was thought that libraries were just a place for gathering and keeping books and other documents as assets. And therefore, people thought that classification was simply for arrangement, in order to have a kind of system for objects that they considered to be luxuries. The reason for this lies in their static view of things, including libraries. Changing attitudes and having a dynamic view of the world of reality will change everything. Thus, if we define that the library is not only a place for book collection but is a place where people fill their information needs, and also that librarianship is not mainly about classification, but is a discipline by which we retrieve information and receive knowledge, we may see a great change in the retrieval process.

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Abstract

For better retrieval, classification and indexing are the key factors. To serve better users there should be some criteria. The most popular criteria known are recall and precision. But these two are not totally accepted and respected in application. Uncertainty and giving more respect to information technology at the expense of information system management are the main problems. Although information retrieval includes many elements such as modality, document classification and categorization, system architecture, user interfaces, data visualization, filtering, language and behavioral sciences, communication in a good environment covers all of them. For better communication, a classifier/ indexer must avoid taking false direction, to be frank and careful not to use ambiguous terms, and must provide sufficient cross-references their indexing. Good questioning and saying no when it should be said is regarded as a kind of filtration of the environment from noises.

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Abstract

This proposed new classification scheme is based on two main elements: hierarchism and binary theory. Hence, it is called Universal Binary Classification (UBC). Some advantages of this classification are highlighted including are subject heading development, construction of a thesaurus and all terms with meaningful features arranged in tabular form that can help researchers, through a semantic process, to find what they need. This classification scheme is fully consistent with the classification of knowledge. The classification of knowledge is also based on hierarchism and binary principle. Finally, a survey on randomly selected books in McLennan Library of McGill University is presented to compare the codes of this new classification with the currently employed Library of Congress Classification (LCC) numbers in the discipline of Library and Information Sciences.