With the quick increase of information and knowledge, automatically classifying text
documents is becoming a hotspot of knowledge management. A critical capability of …

An effective domain ontology automatically constructed is proposed in this paper. The main
concept is using the Formal Concept Analysis to automatically establish domain ontology …

Ontology-based document classification relies on background knowledge exploited by
ontologies to represent documents. Background knowledge is embedded in a document …

Huge volumes of worldwide accessible information have led to the tool necessity for better
handling of massive information to overcome the conventional manual method. Thus …

The employment of ontology to improve text classification performance has been an active
research topic in recent years. These researches include using domain ontology or using …

In this paper, we describe ontology-based text categorization in which the domain
ontologies are automatically acquired through morphological rules and statistical methods …

As we know, current classification methods are mostly based on the VSM (Vector Space
Model), which only accounts for term frequency in the documents, and ignores important …

Automatic document classification has become increasingly important and difficult due to the
large scale of the electronic documents used in the last years. Traditional information …

Voluminous, conveniently accessible textual documents, created and disseminated by
modern information technology, makes automated document organization increasingly …

Text categorization (also known as text classification or topic spotting) is the task of
automatically sorting a set of documents into categories from a predefined set. Automated …