Gábor Bella

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This paper presents a new approach to text processing, based on textemes. These are atomic text units generalising the concepts of character and glyph by merging them in a common data structure, together with an arbitrary number of user-defined properties. In the first part, we give a survey of the notions of character and glyph and their relation with(More)
State-of-the-art multilingual ontology matchers use machine translation to reduce the problem to the monolingual case. We investigate an alternative, self-contained solution based on semantic matching where labels are parsed by multilingual natural language processing and then matched using a language-independent knowledge base acting as an interlingua. As(More)
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