A brief overview of rule learning
In this paper, we provide a brief summary of elementary research in rule learning. The two
main research directions are descriptive rule learning, with the goal of discovering …
main research directions are descriptive rule learning, with the goal of discovering …
Fast rule mining in ontological knowledge bases with AMIE
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 …
capture knowledge in a machine-readable format. Inductive logic programming (ILP) can be …
AMIE: association rule mining under incomplete evidence in ontological knowledge bases
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 …
capture knowledge in a machine-readable format. Inductive Logic Programming (ILP) can …
Program synthesis
Program synthesis is the task of automatically finding a program in the underlying
programming language that satisfies the user intent expressed in the form of some …
programming language that satisfies the user intent expressed in the form of some …
Introduction to linked data and its lifecycle on the web
Abstract With Linked Data, a very pragmatic approach towards achieving the vision of the
Semantic Web has gained some traction in the last years. The term Linked Data refers to a …
Semantic Web has gained some traction in the last years. The term Linked Data refers to a …
Class expression learning for ontology engineering
While the number of knowledge bases in the Semantic Web increases, the maintenance and
creation of ontology schemata still remain a challenge. In particular creating class …
creation of ontology schemata still remain a challenge. In particular creating class …
ORE-a tool for repairing and enriching knowledge bases
While the number and size of Semantic Web knowledge bases increases, their maintenance
and quality assurance are still difficult. In this article, we present ORE, a tool for repairing …
and quality assurance are still difficult. In this article, we present ORE, a tool for repairing …
Creating knowledge out of interlinked data
Over the past 3 years, the Semantic Web activity has gained momentum with the widespread
publishing of structured data as RDF. The Linked Data paradigm has therefore evolved from …
publishing of structured data as RDF. The Linked Data paradigm has therefore evolved from …
[LIVRE][B] Data management and query processing in semantic web databases
S Groppe - 2011 - books.google.com
The Semantic Web, which is intended to establish a machine-understandable Web, is
currently changing from being an emerging trend to a technology used in complex real …
currently changing from being an emerging trend to a technology used in complex real …
[LIVRE][B] Learning expressive ontologies
J Völker - 2009 - books.google.com
This publication advances the state-of-the-art in ontology learning by presenting a set of
novel approaches to the semi-automatic acquisition, refinement and evaluation of logically …
novel approaches to the semi-automatic acquisition, refinement and evaluation of logically …