Abstract. As more and more knowledge and information becomes available through computers, a critical capability of systems supporting knowledge management is the classification of documents into categories that are meaningful to the user. In a step beyond the use of keywords, we developed a system that analyzes the sentences contained in unstructured or semi-structured documents, and utilizes an ontology reflecting the domain knowledge for a semantic classification of the documents. An experimental system has been implemented for the analysis of small documents in combination with a limited ontology; an extension to larger sets of documents and extended ontologies, together with an application to practical tasks, is the focus of ongoing wor...
Finding and labelling semantic features patterns of documents in a large, spatial corpus is a challe...
Text categorization is usually performed by supervised algorithms on the large amount of hand-labell...
Finding and labelling semantic features patterns of documents in a large, spatial corpus is a challe...
Abstract. As more and more knowledge and information becomes available through computers, a critical...
As more and more knowledge and information becomes available through computers, a critical capabilit...
The classification of documents is an interesting topic of recent terminological investigations, in ...
International audienceThe work presented in this paper addresses the problem of interpretation and s...
International audienceThe work presented in this paper addresses the problem of interpretation and s...
Abstract. Construction of the ontology of a specific domain currently relies on the intuition of a k...
In several contexts, the amount of available digital documents increases every day. One of these cha...
In several contexts, the amount of available digital documents increases every day. One of these cha...
This dissertation proposes a novel methodology for knowledge discovery in large data sets, with a fo...
The work presented in this paper addresses the problem of interpretation and semantic classification...
Finding and labelling semantic features patterns of documents in a large, spatial corpus is a challe...
Ontologisms have been applied to many applications in recent years, especially on Sematic Web, Infor...
Finding and labelling semantic features patterns of documents in a large, spatial corpus is a challe...
Text categorization is usually performed by supervised algorithms on the large amount of hand-labell...
Finding and labelling semantic features patterns of documents in a large, spatial corpus is a challe...
Abstract. As more and more knowledge and information becomes available through computers, a critical...
As more and more knowledge and information becomes available through computers, a critical capabilit...
The classification of documents is an interesting topic of recent terminological investigations, in ...
International audienceThe work presented in this paper addresses the problem of interpretation and s...
International audienceThe work presented in this paper addresses the problem of interpretation and s...
Abstract. Construction of the ontology of a specific domain currently relies on the intuition of a k...
In several contexts, the amount of available digital documents increases every day. One of these cha...
In several contexts, the amount of available digital documents increases every day. One of these cha...
This dissertation proposes a novel methodology for knowledge discovery in large data sets, with a fo...
The work presented in this paper addresses the problem of interpretation and semantic classification...
Finding and labelling semantic features patterns of documents in a large, spatial corpus is a challe...
Ontologisms have been applied to many applications in recent years, especially on Sematic Web, Infor...
Finding and labelling semantic features patterns of documents in a large, spatial corpus is a challe...
Text categorization is usually performed by supervised algorithms on the large amount of hand-labell...
Finding and labelling semantic features patterns of documents in a large, spatial corpus is a challe...