How users explore ontologies on the web: A study of NCBO’s BioPortal usage logs

Simon Walk, Lisette Espín-Noboa, Denis Helic, Markus Strohmaier, Mark A. Musen

Research output: Contribution to Book/Report typesConference contributionpeer-review

Abstract (may include machine translation)

Ontologies in the biomedical domain are numerous, highly specialized and very expensive to develop. Thus, a crucial prerequisite for ontology adoption and reuse is effective support for exploring and finding existing ontologies. Towards that goal, the National Center for Biomedical Ontology (NCBO) has developed BioPortal—an online repository containing more than 500 biomedical ontologies. In 2016, BioPortal represents one of the largest portals for exploration of semantic biomedical vocabularies and terminologies, which is used by many researchers and practitioners. While usage of this portal is high, we know very little about how exactly users search and explore ontologies and what kind of usage patterns or user groups exist in the first place. Deeper insights into user behavior on such portals can provide valuable information to devise strategies for a better support of users in exploring and finding existing ontologies, and thereby enable better ontology reuse. To that end, we study and group users according to their browsing behavior on BioPortal and use data mining techniques to characterize and compare exploration strategies across ontologies. In particular, we were able to identify seven distinct browsing types, all relying on different functionality provided by BioPortal. For example, Search Explorers extensively use the search functionality while Ontology Tree Explorers mainly rely on the class hierarchy for exploring ontologies. Further, we show that specific characteristics of ontologies influence the way users explore and interact with the website. Our results may guide the development of more user-oriented systems for ontology exploration on the Web.

Original languageEnglish
Title of host publication26th International World Wide Web Conference, WWW 2017
PublisherInternational World Wide Web Conferences Steering Committee
Pages775-784
Number of pages10
ISBN (Print)9781450349130
DOIs
StatePublished - 2017
Externally publishedYes
Event26th International World Wide Web Conference, WWW 2017 - Perth, Australia
Duration: 3 Apr 20177 Apr 2017

Publication series

Name26th International World Wide Web Conference, WWW 2017

Conference

Conference26th International World Wide Web Conference, WWW 2017
Country/TerritoryAustralia
CityPerth
Period3/04/177/04/17

Keywords

  • BioPortal
  • Browsing behavior
  • Clustering
  • Markov chain
  • Semantic Web
  • Stationary distribution

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