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BiOnIC: A Catalog of User Interactions with Biomedical Ontologies.

Maulik R Kamdar1, Simon Walk1, Tania Tudorache1

  • 1Stanford Center for Biomedical Informatics Research, Stanford University.

The Semantic Web--Iswc ... : ... International Semantic Web Conference ... Proceedings. International Semantic Web Conference
|April 12, 2018
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Summary

BiOnIC offers a unique catalog of biomedical ontology usage statistics, including user clicks and queries. This resource provides valuable insights into ontology exploration and reuse for Semantic Web researchers.

Keywords:
log analysisontology explorationreuseuser behavior

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Area of Science:

  • Biomedical Informatics
  • Semantic Web Technologies
  • Data Science

Background:

  • Access logs from BioPortal, a major biomedical ontology repository, were analyzed.
  • User interaction data, including clicks, queries, and class access sequences, were collected over four years.
  • Existing research lacks comprehensive datasets on real-world ontology interaction patterns.

Purpose of the Study:

  • To introduce BiOnIC, a novel catalog of aggregated user interaction statistics for biomedical ontologies.
  • To provide a valuable resource for understanding ontology exploration, querying, and reuse.
  • To demonstrate the applicability of this data in developing improved semantic resource interfaces.

Main Methods:

  • Processed BioPortal access logs to aggregate statistics on user clicks, queries, and reuse counts.
  • Collected anonymized sequences of ontology classes accessed by users.
  • Published the BiOnIC data using DCAT and SKOS metadata standards.

Main Results:

  • Generated a catalog of user interaction statistics for over 200 biomedical ontologies.
  • Provided four years of anonymized user access sequences.
  • Demonstrated the catalog's utility through three distinct application examples.

Conclusions:

  • BiOnIC is the first published dataset of its kind, offering insights into real-world ontology usage.
  • The catalog is expected to aid Semantic Web researchers and developers in understanding user behavior.
  • BiOnIC can facilitate the development of customized and intelligent user interfaces for semantic resources.