Abstract
Rapid growth in the volume of network-available data, complexity, diversity and terminological fluctuations, at different data sources, render network-accessible information increasingly difficult to achieve. The situation is particularly cumbersome for users of multi-database systems who are expected to have prior detailed knowledge of the definition and uses of the information content in these systems.
This paper presents a conceptual organization of the information space across collections of component systems in multi-databases that provides serendipity, exploration and contextualization support so that users can achieve logical connections between concepts they are familiar with and schema terms employed in multi-database systems. Large-scale searching for multi-database schema information is guided by a combination of lexical, structural and semantic aspects of schema terms in order to reveal more meaning both about the contents of a requested information term and about its placement within the distributed information space.
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Papazoglou, M.P., Milliner, S. (1998). Subject-based organization of the information space in multi-database networks. In: Pernici, B., Thanos, C. (eds) Advanced Information Systems Engineering. CAiSE 1998. Lecture Notes in Computer Science, vol 1413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0054229
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DOI: https://doi.org/10.1007/BFb0054229
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