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Ontology Learning for the Semantic Web
TLDR
The authors present an ontology learning framework that extends typical ontology engineering environments by using semiautomatic ontology construction tools and encompasses ontology import, extraction, pruning, refinement and evaluation. Expand
Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis
TLDR
A novel approach to the automatic acquisition of taxonomies or concept hierarchies from a text corpus based on Formal Concept Analysis, which model the context of a certain term as a vector representing syntactic dependencies which are automatically acquired from the text corpus with a linguistic parser. Expand
What Is an Ontology?
TLDR
This paper shall revisit the previous attempts to clarify and formalize such original definition of (computational) ontologies as “explicit specifications of conceptualizations”, providing a detailed account of the notions of conceptualization and explicit specification, while discussing the importance of shared explicit specifications. Expand
SPLENDID: SPARQL Endpoint Federation Exploiting VOID Descriptions
In order to leverage the full potential of the Semantic Web it is necessary to transparently query distributed RDF data sources in the same way as it has been possible with federated databases forExpand
Measuring Similarity between Ontologies
TLDR
A set of ontology similarity measures and a multiple-phase empirical evaluation are presented for measuring the similarity between ontologies for the task of detecting and retrieving relevant ontologies. Expand
Knowledge Processes and Ontologies
TLDR
An approach for ontology-based knowledge management (KM) that includes a tool suite and a methodology for developing ontological-based KM systems is presented, illustrated by CHAR (Corporate History AnalyzeR), a KM system for corporate history analysis. Expand
Towards the self-annotating web
TLDR
PANKOW (Pattern-based Annotation through Knowledge on theWeb), a method which employs an unsupervised, pattern-based approach to categorize instances with regard to an ontology, is proposed. Expand
QOM - Quick Ontology Mapping
TLDR
This work considers QOM, Quick Ontology Mapping, as a way to trade off between effectiveness and efficiency of the mapping generation algorithms, and shows that it has lower run-time complexity than existing prominent approaches. Expand
Web Science
Das World Wide Web ist ein Informationsmedium, das sich dadurch auszeichnet, dass es von seinen Benutzern gleichzeitig geschaffen, konsumiert und modifiziert wird und dass dabei die Grenzen zwischenExpand
WordNet improves text document clustering
TLDR
This work integrates background knowledge — in the authors' application Wordnet — into the process of clustering text documents, and clusters the documents by a standard partitional algorithm. Expand
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