Modeling terminologies for reusability in faceted systems

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Resumen

We integrate heterogeneous terminologies into our category-theoretic model of faceted browsing and show that existing terminologies and vocabularies can be reused as facets in a cohesive, interactive system. Commonly found in online search engines and digital libraries, faceted browsing systems depend upon one or more taxonomies which outline the structure and content of the facets available for user interaction. Controlled vocabularies or terminologies are often curated externally and are available as a reusable resource across systems. We demonstrated previously that category theory can abstractly model faceted browsing in a way that supports the development of interfaces capable of reusing and integrating multiple models of faceted browsing. We extend this model by illustrating that terminologies can be reused and integrated as facets across systems with examples from the biomedical domain. Furthermore, we extend our discussion by exploring the requirements and consequences of reusing existing terminologies and demonstrate how categorical operations can create reusable groupings of facets.

Idioma originalEnglish
Título de la publicación alojadaAdvances in Intelligent Systems and Computing
Páginas139-163
Número de páginas25
DOI
EstadoPublished - 2018

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen561
ISSN (versión impresa)2194-5357

Nota bibliográfica

Publisher Copyright:
© 2018, Springer International Publishing AG.

Financiación

Acknowledgment. The project described was supported by the NIH National Center for Advancing Translational Sciences through grant numbers UL1TR001998 and UL1TR000117. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

FinanciadoresNúmero del financiador
National Institutes of Health (NIH)
National Center for Advancing Translational Sciences (NCATS)UL1TR001998, UL1TR000117

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • General Computer Science

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