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Ontology Learning for the Semantic Web
The Semantic Web relies heavily on formal ontologies to structure data for comprehensive and transportable machine understanding. Thus, the proliferation of ontologies factors largely in the SemanticExpand
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Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis
We present a novel approach to the automatic acquisition of taxonomies or concept hierarchies from a text corpus. The approach is based on Formal Concept Analysis (FCA), a method mainly used for theExpand
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What Is an Ontology?
The word “ontology” is used with different senses in different communities. The most radical difference is perhaps between the philosophical sense, which has of course a well-established tradition,Expand
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Measuring Similarity between Ontologies
Ontologies now play an important role for many knowledge-intensive applications for which they provide a source of precisely defined terms. However, with their wide-spread usage there come problemsExpand
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Statistical Database
A statistical database is a database used for statistical analysis purposes. It is an OLAP (online analytical processing), instead of OLTP (online transaction. Whats new? Help us improve thisExpand
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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
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Knowledge Processes and Ontologies
In this article, we present an approach for ontology-based knowledge management (KM) that includes a tool suite and a methodology for developing ontology-based KM systems. It builds on theExpand
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Towards the self-annotating web
The success of the Semantic Web depends on the availability of ontologies as well as on the proliferation of web pages annotated with metadata conforming to these ontologies. Thus, a crucial questionExpand
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QOM - Quick Ontology Mapping
(Semi-)automatic mapping - also called (semi-) automatic alignment - of ontologies is a core task to achieve interoperability when two agents or services use different ontologies. In the existingExpand
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WordNet improves text document clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large amounts of information into a small number of meaningful clusters. TheExpand
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