RuDiK is a system for the discovery of declarative rules over knowledge-bases (KBs). RuDiK
discovers both positive rules, which identify relationships between entities, eg," if two …

We present RUDIK, a system for the discovery of declarative rules over knowledge-bases
(KBs). RUDIK discovers rules that express positive relationships between entities, such as" if …

Knowledge base construction (KBC) is the process of populating a knowledge base, ie, a
relational database together with inference rules, with information extracted from documents …

Given a knowledge base (KB), rule mining finds rules such as “If two people are married,
then they live (most likely) in the same place”. Due to the exponential search space, rule …

We describe RuDiK, an algorithm and a system for mining declarative rules over RDF
knowledge graphs (KGs). RuDiK can discover rules expressing both positive relationships …

Advances in information extraction have enabled the automatic construction of large
knowledge graphs (KGs) like DBpedia, Freebase, YAGO and Wikidata. Learning rules from …

Recent advances in information extraction have led to huge knowledge bases (KBs), which
capture knowledge in a machine-readable format. Inductive Logic Programming (ILP) can …

Populating a database with information from unstructured sources—also known as
knowledge base construction (KBC)—is a long-standing problem in industry and research …

Recent advances in information extraction have led to huge knowledge bases (KBs), which
capture knowledge in a machine-readable format. Inductive logic programming (ILP) can be …

Many pressing questions in science are macroscopic: they require scientists to consult
information expressed in a wide range of resources, many of which are not organized in a …