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Intelligent Technologies for Interactive Entertainment. 12th EAI International Conference, INTETAIN 2020, Virtual Event, December 12-14, 2020, Proceedings

Research Article

ToDI: A Taxonomy of Derived Indices

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  • @INPROCEEDINGS{10.1007/978-3-030-76426-5_4,
        author={Maria Joseph Israel and Navid Shaghaghi and Ahmed Amer},
        title={ToDI: A Taxonomy of Derived Indices},
        proceedings={Intelligent Technologies for Interactive Entertainment. 12th EAI International Conference, INTETAIN 2020, Virtual Event, December 12-14, 2020, Proceedings},
        proceedings_a={INTETAIN},
        year={2021},
        month={5},
        keywords={Data indices Index derivation Metadata hierarchy Referential data Taxonomy},
        doi={10.1007/978-3-030-76426-5_4}
    }
    
  • Maria Joseph Israel
    Navid Shaghaghi
    Ahmed Amer
    Year: 2021
    ToDI: A Taxonomy of Derived Indices
    INTETAIN
    Springer
    DOI: 10.1007/978-3-030-76426-5_4
Maria Joseph Israel1,*, Navid Shaghaghi1, Ahmed Amer1
  • 1: Ethical, Pragmatic, and Intelligent Computing (EPIC) Laboratory, Santa Clara University
*Contact email: misrael@scu.edu

Abstract

Advancements in digital technology have eased the process of gathering, generating, and altering digital data at large scale. The sheer scale of the data necessitates the development and use of smaller secondary data structured as ‘indices,’ which are typically used to locate desired subsets of the original data, thereby speeding up data referencing and retrieval operations. Many variants of such indices exist in today’s database systems, and the subject of their design is well investigated by computer scientists. However, indices are examples of data derived from existing data; and the implications of such derived indices, as well as indices derived from other indices, pose problems that require careful ethical analysis. But before being able to thoroughly discuss the full nature of such problems, let alone analyze their ethical implications, an appropriate and complete vocabulary in the form of a robust taxonomy for defining and describing the myriad variations of derived indices and their nuances is needed. This paper therefore introduces a novel taxonomy of derived indices that can be used to identify, characterise, and differentiate derived indices.

Keywords
Data indices Index derivation Metadata hierarchy Referential data Taxonomy
Published
2021-05-19
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-76426-5_4
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