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EARS: An online bibliographic search and retrieval system based on ordered explosion
Institution:1. Transportation Research Group, Civil, Maritime, Environmental Engineering and Science Unit, Faculty of Engineering and the Environment, Bouldrewood Innovation Campus, University of Southampton, Southampton, Hampshire, SO16 7QF, UK;2. Human Systems Integration Group, Faculty of Engineering and Computing, Coventry University, Priory Street, Coventry, CV1 5FB, UK;3. The National Composites Centre, Feynman Way Central, Bristol and Bath Science Park, Emersons Green, Bristol, BS16 7FS, UK;1. School of Aeronautic Science and Engineering, Beihang University, 37 Xueyuan Road Haidian District, Beijing, China, 100191;2. Commercial Aircraft Corporation of China Ltd, 5188th Jinke Road, Pudong New Area, Shanghai, China, 201210;3. School of Reliability and Systems Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing, China 100191;1. Department of Cognitive Science, Macquarie University, Sydney, Australia;2. Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, Scotland, UK;3. Department of Psychology, Macquarie University, Sydney, Australia
Abstract:Ergonomics Abstracts Retrieval System (EARS) is an online bibliographic information search and retrieval system using the hierarchical subject classification of the Ergonomics Abstracts. EARS is designed using an inverted file organization and is implemented on CDC-Cyber. The data base of abstracts is organized using a fixed-length record format, where each logical record corresponds to a variable number of fixed-length physical records. Accordingly, an index for the identification of physical records from the logical records is used. The data base is inverted on a three-level hierarchical classification scheme and postings files are used for data base inversion. The data base is accessed after selectively traversing a 4-layer structure of indexes and postings files. EARS provides facilities to perform combinations of searches, limited searches, and certain editing functions. The system is currently used extensively by the Western New York Human Factors research community. The logical and physical designs of EARS, its interactive operational features, and its current expansions are described in this paper.
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