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A Framework for Ontology Learning and Data-driven Change Discovery
TLDR
Text2Onto remains independent of a concrete target language while being able to translate the instantiated primitives into any (reasonably expressive) knowledge representation formalism, and allows a user to trace the evolution of the ontology with respect to the changes in the underlying corpus. Expand
Ontologies and the Semantic Web
TLDR
This special issue of IC focuses on the use of the Web by computer systems and agents and argues that by supporting the notion of “getting work done,” the Semantic Web will become more useful, valuable, and pragmatic. Expand
Statistical Schema Induction
TLDR
This paper presents a statistical approach to the induction of expressive schemas from large RDF repositories and describes in detail the implementation and report on an evaluation that was conducted using several data sets including DBpedia. Expand
Acquisition of OWL DL Axioms from Lexical Resources
TLDR
It is argued that inexpressive OWL ontologies with expressive axioms can serve as a core for a semi-automatic ontology engineering process supported by a methodology that integrates methods for both ontology learning and evaluation. Expand
Ontology Learning and Reasoning - Dealing with Uncertainty and Inconsistency
TLDR
This paper presents an approach to generating consistent OWL ontologies from automatically generated or enriched ontology models, which takes into account the uncertainty of the acquired knowledge. Expand
Towards large-scale, open-domain and ontology-based named entity classification
TLDR
The main contribution of the paper is a systematic analysis of the impact of varying certain parameters on such a context-based approach exploiting similarities in vector space for the disambiguation of named entities. Expand
Ontologies on demand? : A description of the state-of-the-art, applications, challenges and trends for ontology learning from text
TLDR
The maturity of techniques for ontology learning from textual resources is examined, addressing the question whether the state-of-the-art is mature enough to produce ontologies'on demand'. Expand
Detecting Errors in Numerical Linked Data Using Cross-Checked Outlier Detection
TLDR
This work proposes an approach which combines the outcomes of two independent outlier detection runs to get a more reliable result and to also prevent problems arising from natural outliers which are exceptional values in the dataset but nevertheless correct. Expand
A Kernel Revision Operator for Terminologies - Algorithms and Evaluation
TLDR
This paper proposes a general operator for revising terminologies in description logic-based ontologies, which relies on a reformulation of the kernel contraction operator in belief revision. Expand
Learning Disjointness for Debugging Mappings between Lightweight Ontologies
TLDR
Results show that debugging automatically created mappings with the help of learned disjointness axioms significantly improves the overall quality of these mappings. Expand
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