A Process-based Framework for Automatic Categorization of Web Documents

Arabic News Articles Classification Using Vectorized-Cosine Based on Seed Documents

Besides for its own merits, text classification (TC) has become a cornerstone in many applications. Work presented here is part of and a pre-requisite for a project we have overtaken to create a corpus for the Arabic text process. It is an attempt to create modules automatically that would help speed up the process of classification for any text categorization task. It also serves as a tool for...

Automatic Web Page Categorization by Link and Context Analysis

Assistance in retrieving documents on the World Wide Web is provided either by search engines, through keyword-based queries, or by catalogues, which organize documents into hierarchical collections. Maintaining catalogues manually is becoming increasingly difficult, due to the sheer amount of material on the Web; it is thus becoming necessary to resort to techniques for the automatic classific...

Harnessing the Expertise of 70, 000 Human Editors: Knowledge-Based Feature Generation for Text Categorization

Most existing methods for text categorization employ induction algorithms that use the words appearing in the training documents as features. While they perform well in many categorization tasks, these methods are inherently limited when faced with more complicated tasks where external knowledge is essential. Recently, there have been efforts to augment these basic features with external knowle...

Automatic Workflow Generation and Modification by Enterprise Ontologies and Documents

This article presents a novel method and development paradigm that proposes a general template for an enterprise information structure and allows for the automatic generation and modification of enterprise workflows. This dynamically integrated workflow development approach utilises a conceptual ontology of domain processes and tasks, enterprise charts, and enterprise entities. It also suggests...

Automatic Categorization of Web documents Based on Application Ontology

Using Web structure and summarisation techniques for Web content mining

The dynamic nature and size of the Internet can result in difficulty finding relevant information. Most users typically express their information need via short queries to search engines and they often have to physically sift through the search results based on relevance ranking set by the search engines, making the process of relevance judgement time-consuming. In this paper, we describe a nov...