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 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.

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. A classifier/indexer must interpret or estimate the users' need in the 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 aboutness. Aboutness is a criterion for decision-making. Better indexing, as well as better classification, is a key to reaching 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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