TY - GEN
T1 - How users explore ontologies on the web
T2 - 26th International World Wide Web Conference, WWW 2017
AU - Walk, Simon
AU - Espín-Noboa, Lisette
AU - Helic, Denis
AU - Strohmaier, Markus
AU - Musen, Mark A.
N1 - Publisher Copyright:
© 2017 International World Wide Web Conference Committee (IW3C2)
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - BioPortal
KW - Browsing behavior
KW - Clustering
KW - Markov chain
KW - Semantic Web
KW - Stationary distribution
UR - http://www.scopus.com/inward/record.url?scp=85037130186&partnerID=8YFLogxK
U2 - 10.1145/3038912.3052606
DO - 10.1145/3038912.3052606
M3 - Conference contribution
AN - SCOPUS:85037130186
SN - 9781450349130
T3 - 26th International World Wide Web Conference, WWW 2017
SP - 775
EP - 784
BT - 26th International World Wide Web Conference, WWW 2017
PB - International World Wide Web Conferences Steering Committee
Y2 - 3 April 2017 through 7 April 2017
ER -