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Abstract

Several attempts have been made to develop a classification of relationships, but none of these have been widely accepted or applied within information science. It would seem that information scientists, while appreciating the potential value of a classification of relationships, have found all previous classifications to be too complicated in application relative to the benefits they provide. This paper begins by reviewing previous attempts and drawing lessons from these. It then surveys a range of sources within and beyond the field of knowledge organization that can together provide the basis for the development of a novel classification of relationships. One critical insight is that relationships governing causation/influence should be accorded priority.

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Abstract

This paper develops a classification of relationships among things, with many potential uses within information science. Unlike previous classifications of relationships, it is hoped that this classification will provide benefits that exceed the costs of application. The major theoretical innovation is to stress the importance of causal relationships, albeit not exclusively. The paper also stresses the advantages of using compounds of simpler terms: verbs compounded with other verbs, adverbs, or things. The classification builds upon a review of the previous literature and a broad inductive survey of potential sources in a recent article in this journal. The result is a classification that is both manageable in size and easy to apply and yet encompasses all of the relationships necessary for classifying documents or even ideas.