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Analysing Volunteer Engagement in Humanitarian Mapping: Building Contributor Communities at Large Scale.

, , and . CSCW, page 108-118. ACM, (2016)

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Exploitation of semantic relationships and hierarchical data structures to support a user in his annotation and browsing activities in folksonomies., , and . Inf. Syst., 34 (6): 511-535 (2009)Deriving Sub-schema Similarities from Semantically Heterogeneous XML Sources., , , and . CoopIS/DOA/ODBASE (1), volume 3290 of Lecture Notes in Computer Science, page 209-226. Springer, (2004)Guns of Brixton: which London neighborhoods host gang activity?, , and . Urb-IoT, page 22-28. ACM, (2016)City form and well-being: what makes London neighborhoods good places to live?, , and . SIGSPATIAL/GIS, page 70:1-70:4. ACM, (2016)A Query Expansion and User Profile Enrichment Approach to Improve the Performance of Recommender Systems Operating on a Folksonomy, , and . User Modeling and User-Adapted Interaction, 20 (1): 41--86 (February 2010)Using Intelligent Agents in e-Government for Supporting Decision Making About Service Proposals., , and . ISMIS, volume 4203 of Lecture Notes in Computer Science, page 147-156. Springer, (2006)Integration of the HL7 Standard in a Multiagent System to Support Personalized Access to e-Health Services., , and . IEEE Trans. Knowl. Data Eng., 23 (8): 1244-1260 (2011)Social Interactions or Business Transactions?What customer reviews disclose about Airbnb marketplace., , , and . WWW, page 1526-1536. ACM / IW3C2, (2020)Mining Mobile Phone Data to Investigate Urban Crime Theories at Scale., , and . SocInfo, volume 8851 of Lecture Notes in Computer Science, page 396-411. Springer, (2014)Measuring Similarity in Large-scale Folksonomies., , , and . SEKE, page 385-391. Knowledge Systems Institute Graduate School, (2011)