Semantic Web Dog Food

Presented at: 2nd Workshop on the Multilingual Semantic Web (MSW2011)

by Maxime Lefrançois, Fabien Gandon

We are interested in bridging the world of natural language and theworld of the semantic web in particular to support multilingual access to theweb of data. In this paper we introduce the ULiS project, that aims at designinga pivot-based NLP technique called Universal Linguistic System, 100% usingthe semantic web formalisms, and being compliant with the Meaning-Texttheory. Through the ULiS, a user could interact with an interlingual knowledgebase (IKB) in controlled natural language. Linguistic resources themselves arepart of a specific IKB: The Universal Lexical Knowledge base (ULK), so thatactors may enhance their controlled natural language, through requests in controllednatural language. We describe a basic interaction scenario at the systemlevel, and provide an overview of the architecture of ULiS. We then introducethe core of the ULiS: the interlingual lexical ontology (ILexicOn), in whicheach interlingual lexical unit class (ILUc) supports the projection of its semanticdecomposition on itself. We validate our model with a standalone ILexicOn,and introduce and explain a concise human-readable notation for it.

Resource URI on the dog food server: http://data.semanticweb.org/workshop/msw/2011/paper/1

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