This allows for a deeper understanding of natural language metadata semantics, which we show can improve by almost 18% the accuracy of the automatic translation ...
Abstract. Understanding metadata written in natural language is a premise to successful automated integration of large scale, language-rich, classifications ...
This allows for a deeper understanding of natural language metadata semantics, which we show can improve by almost 18% the accuracy of the automatic translation ...
In this paper we describe an analysis of the part of speech structure of two different datasets of metadata, show how this structure can be used to detect ...
Lightweight Parsing of Classifications into Lightweight Ontologies · List of references · Publications that cite this publication.
In this paper we introduce the novel notion of Formal Classification, as a graph structure where labels are written in a propositional concept language. Formal.
This allows for a deeper understanding of natural language metadata semantics, which we show can improve by almost 18% the accuracy of the automatic translation ...
Nov 21, 2024 · Ontologies are explicit specifications of conceptualizations. They are often thought of as directed graphs whose nodes represent concepts and whose edges ...
This allows deeper understanding of metadata semantics, important for such tasks as translating classifications into lightweight ontologies for use in semantic.
Formal Classifications turn out to be some form of lightweight ontologies. This, in turn, allows us to reason about them, to associate to each node a normal ...
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