International audienceThe work presented in this paper addresses the problem of interpretation and semantic classification of documents. One of the issues faced by natural languages is related to the presence, in glossaries, of words with similar morphologies and different meanings. Our approach is based on the use of domain ontologies for nouns disambiguation. We begin our process with a global disambiguation, by linking the considered document to a semantic domain (represented by an ontology) which we select among several candidate ones. We define a candidate domain as any domain in which at least one significant word of the text can be considered and makes sense. We then perform a local disambiguation by using the selected ontology and f...
Nowadays, most of the semantically structured data have labels stored only in English. Although the ...
Accessing and extracting semantic meanings from web documents is crucial for the realization of Sema...
In this paper we describe first results of our research on the categorization of texts in order to d...
International audienceThe work presented in this paper addresses the problem of interpretation and s...
The work presented in this paper addresses the problem of interpretation and semantic classification...
In this paper we investigate a number of questions relating to the identification of the domain of a...
In this paper we investigate a number of questions relating to the identification of the domain of a...
Abstract. As more and more knowledge and information becomes available through computers, a critical...
We present a method and a tool, OntoLearn, aimed at the extraction of domain ontologies from Web sit...
The classification of documents is an interesting topic of recent terminological investigations, in ...
Text categorization is usually performed by supervised algorithms on the large amount of hand-labell...
Text categorization is usually performed by supervised algorithms on the large amount of hand-labell...
Text categorization is usually performed by supervised algorithms on the large amount of hand-labell...
We present a method and a tool, OntoLearn, aimed at the extraction of domain ontologies from Web sit...
Abstract. As more and more knowledge and information becomes available through computers, a critical...
Nowadays, most of the semantically structured data have labels stored only in English. Although the ...
Accessing and extracting semantic meanings from web documents is crucial for the realization of Sema...
In this paper we describe first results of our research on the categorization of texts in order to d...
International audienceThe work presented in this paper addresses the problem of interpretation and s...
The work presented in this paper addresses the problem of interpretation and semantic classification...
In this paper we investigate a number of questions relating to the identification of the domain of a...
In this paper we investigate a number of questions relating to the identification of the domain of a...
Abstract. As more and more knowledge and information becomes available through computers, a critical...
We present a method and a tool, OntoLearn, aimed at the extraction of domain ontologies from Web sit...
The classification of documents is an interesting topic of recent terminological investigations, in ...
Text categorization is usually performed by supervised algorithms on the large amount of hand-labell...
Text categorization is usually performed by supervised algorithms on the large amount of hand-labell...
Text categorization is usually performed by supervised algorithms on the large amount of hand-labell...
We present a method and a tool, OntoLearn, aimed at the extraction of domain ontologies from Web sit...
Abstract. As more and more knowledge and information becomes available through computers, a critical...
Nowadays, most of the semantically structured data have labels stored only in English. Although the ...
Accessing and extracting semantic meanings from web documents is crucial for the realization of Sema...
In this paper we describe first results of our research on the categorization of texts in order to d...