TY - GEN
T1 - Fostering serendipitous knowledge discovery using an adaptive multigraph-based faceted browser
AU - Khalili, Ali
AU - Van Andel, Pek
AU - Van Den Besselaar, Peter
AU - De Graaf, Klaas Andries
N1 - Alternative title of the host publication: K-CAP 2017 : proceedings of the 9th International Conference on Knowledge Capture, December 4-6, 2017, Austin, TX, USA
PY - 2017/12
Y1 - 2017/12
N2 - Serendipity, the art of making an unsought finding plays also an important role in the emerging field of data science, allowing the discovery of interesting and valuable facts not initially sought for. Previous research has extracted many serendipity-fostering patterns applicable to digital data-driven systems. Linked Open Data (LOD) on the Web which is powered by the Follow-Your-Nose effect, provides already a rich source for serendipity. The serendipity most often takes place when browsing data. Therefore, flexible and intuitive browsing user interfaces which support serendipity triggers such as enigmas, anomalies and novelties, can increase the likelihood of serendipity on LOD. In this work, we propose a set of serendipity-fostering design features supported by an adaptive multigraph-based faceted browsing interface to catalyze serendipity on Semantic Web and LOD environments.
AB - Serendipity, the art of making an unsought finding plays also an important role in the emerging field of data science, allowing the discovery of interesting and valuable facts not initially sought for. Previous research has extracted many serendipity-fostering patterns applicable to digital data-driven systems. Linked Open Data (LOD) on the Web which is powered by the Follow-Your-Nose effect, provides already a rich source for serendipity. The serendipity most often takes place when browsing data. Therefore, flexible and intuitive browsing user interfaces which support serendipity triggers such as enigmas, anomalies and novelties, can increase the likelihood of serendipity on LOD. In this work, we propose a set of serendipity-fostering design features supported by an adaptive multigraph-based faceted browsing interface to catalyze serendipity on Semantic Web and LOD environments.
UR - https://www.scopus.com/pages/publications/85040567087
UR - https://www.scopus.com/inward/citedby.url?scp=85040567087&partnerID=8YFLogxK
U2 - 10.1145/3148011.3148037
DO - 10.1145/3148011.3148037
M3 - Conference contribution
SP - 1
EP - 4
BT - K-CAP '17
PB - Association for Computing Machinery, Inc
T2 - 9th International Conference on Knowledge Capture, K-CAP 2017
Y2 - 4 December 2017 through 6 December 2017
ER -