Discovering fraud patterns from numerous user activities is crucial for fraud detection.
However, three factors make this task quite challenging: Firstly, previous research usually …

Geographic data plays an essential role in various Web, Semantic Web and machine
learning applications. OpenStreetMap and knowledge graphs are critical complementary …

Abstract Knowledge graphs provide standardized machine-readable representations of real-
world entities and their relations. However, the coverage of geographic entities in popular …

ABSTRACT YAGO is one of the largest knowledge bases in the Linked Open Data cloud.
The latest version of YAGO, YAGO4, reconciles the rigorous typing and constraints of …

The use of geospatial data is omnipresent in today's society. The need for more accurate
data with a higher frequency cannot be met by the data collection efforts of public authorities …

Surface name is the string used to refer to an entity in a text corpus. Crowd-sourced
knowledge repositories such as Wikipedia can have multiple types of errors, including …