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A Moose and a Fox Can Aid Scientists with Data Management Problems

  • Conference paper
Database Programming Languages (DBPL-4)

Part of the book series: Workshops in Computing ((WORKSHOPS COMP.))

Abstract

Fox (Finding Objects of eXperiments) is the declarative query language for Moose (Modeling Objects Of Scientific Experiments), an object-oriented data model at the core of a scientific experiment management system (EMS) being developed at Wisconsin. The goal of the EMS is to support scientists in managing their experimental studies and the data that are generated from them.

Moose is unique among object-oriented data models in permitting sets to have relationships to classes other than their elements’ class, in providing a construct for indexing collections by other collections, such as time series, and in distinguishing structural relationships from nonstructural ones.

Fox contains several new features necessary to manage experiments, such as support for associative element retrieval from (indexed) sets and highly expressive path expressions. Fox path expressions can traverse any relationship in the schema graph, including inheritance relationships, and in either direction of the relationship, which makes many queries more concise. Fox also supports a new form of deep equality based on structural information and a new, concise, description of periodic data, e.g., time series. Finally, Fox offers the only object-oriented bulk-loading facility of which we are aware, for loading data from a file.

This work has been partially supported by the National Science Foundation under Grants IRI-9224741 and IRI-9147368 (PYI Award) and by grants from DEC, IBM, HP, and AT&T.

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Authors and Affiliations

  1. Dept. of Computer Sciences, University of Wisconsin-Madison, 1210 W. Dayton St., Madison, WI, 53706, USA

    Janet L. Wiener & Yannis E. Ioannidis

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  1. Janet L. Wiener
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  2. Yannis E. Ioannidis
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Editors and Affiliations

  1. Institute of Computer Science, The Hebrew University of Jerusalem, 91904, Givat-Ram, Jerusalem, Israel

    Catriel Beeri PhD

  2. Research Institute for Mathematical Sciences, Kyoto University, Kitashirakawa, Sakyo-ku, 606-01, Kyoto, Japan

    Atsushi Ohori PhD

  3. Department of Computer Science, Courant Institute of Mathematical Sciences, New York University, 251 Mercer Street, 10012-1185, New York, NY, USA

    Dennis E. Shasha PhD

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© 1994 Springer-Verlag Berlin Heidelberg

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Wiener, J.L., Ioannidis, Y.E. (1994). A Moose and a Fox Can Aid Scientists with Data Management Problems. In: Beeri, C., Ohori, A., Shasha, D.E. (eds) Database Programming Languages (DBPL-4). Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3564-7_21

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  • DOI: https://doi.org/10.1007/978-1-4471-3564-7_21

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19853-6

  • Online ISBN: 978-1-4471-3564-7

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