International audienceGraph-FCA is an extension of formal concept analysis for multi-relational data. In this paper, we discuss the freedom of representation offered by Graph-FCA, in particular by its support of n-ary relations, considering natural language syntax as a use case
In natural language processing (NLP) there is an increasing interest in formal models for pro-cessin...
AbstractConceptual graphs are a semantic representation that has a direct mapping to natural languag...
Formal Concept Analysis (FCA) provides an account of classification based on a binary relation betwe...
International audienceGraph-FCA is an extension of formal concept analysis for multi-relational data...
International audienceKnowledge graphs offer a versatile knowledge representation, and have been stu...
International audienceWith the rise of the Semantic Web, more and more relational data are made avai...
International audienceA number of extensions have been proposed for Formal Concept Analysis (FCA). A...
Graphs are a powerful representation formalism that can be applied to a variety of aspects related t...
International audienceKnowledge Graphs (KG) have become a widespread knowledge representation. When ...
Abstract. A straightforward mapping from Conceptual Graphs (CGs) to Formal Concept Analysis (FCA) is...
Ph.D.In this thesis we undertake a study of formal three-dimensional representational and acceptor m...
In natural language processing (NLP) there is an increasing interest in formal models for processing...
International audienceFormal Concept Analysis (FCA) is a mathematical framework classifying in forma...
In this paper, we suggest a class of (attributed) expansive graph grammars which generate languages ...
International audienceKnowledge discovery in large and complex datasets is one of the main topics ad...
In natural language processing (NLP) there is an increasing interest in formal models for pro-cessin...
AbstractConceptual graphs are a semantic representation that has a direct mapping to natural languag...
Formal Concept Analysis (FCA) provides an account of classification based on a binary relation betwe...
International audienceGraph-FCA is an extension of formal concept analysis for multi-relational data...
International audienceKnowledge graphs offer a versatile knowledge representation, and have been stu...
International audienceWith the rise of the Semantic Web, more and more relational data are made avai...
International audienceA number of extensions have been proposed for Formal Concept Analysis (FCA). A...
Graphs are a powerful representation formalism that can be applied to a variety of aspects related t...
International audienceKnowledge Graphs (KG) have become a widespread knowledge representation. When ...
Abstract. A straightforward mapping from Conceptual Graphs (CGs) to Formal Concept Analysis (FCA) is...
Ph.D.In this thesis we undertake a study of formal three-dimensional representational and acceptor m...
In natural language processing (NLP) there is an increasing interest in formal models for processing...
International audienceFormal Concept Analysis (FCA) is a mathematical framework classifying in forma...
In this paper, we suggest a class of (attributed) expansive graph grammars which generate languages ...
International audienceKnowledge discovery in large and complex datasets is one of the main topics ad...
In natural language processing (NLP) there is an increasing interest in formal models for pro-cessin...
AbstractConceptual graphs are a semantic representation that has a direct mapping to natural languag...
Formal Concept Analysis (FCA) provides an account of classification based on a binary relation betwe...