As the demand for multimedia grows, the development of information retrieval systems including information about music is of increasing concern. Radio stations and music TV channels hold archives of millions of music tapes. Gigabytes of music files are also spread over the web. To automate searching and organizing the music files based on their genre is a challenging task. In this report, we pr...

Automatic musical genre classification is very useful for music indexing and retrieval. In this paper, an efficient and effective automatic musical genre classification approach is presented. A set of features is extracted and used to characterize music content. A multi-layer classifier based on support vector machines is applied to musical genre classification. Support vector machines are used...

Research in automatic genre classification has been producing increasingly small performance gains in recent years, with the result that some have suggested that such research should be abandoned in favor of more general similarity research. It has been further argued that genre classification is of limited utility as a goal in itself because of the ambiguities and subjectivity inherent to genr...

Critical Social Theory has been regarded as an alternative approach to information systems development in the era of ubiquitous information technologies and extensive applications. However, critical theorists have so far clarified few fundamental concepts to be actually discussed, planned and implemented in practical development initiatives to constitute a proper systems development approach. T...

Modern search engines are typically queried with keywords, which foremostly convey the topic of the sought web page. Consequently the resulting top hits are often topically relevant, but nonetheless not what the user wants. The premise of this paper is that the relevance of the hits can be improved when also searching by genre, classification criterion orthogonal to topic. To this end a genre c...

In this paper, I propose a refined and incremental centroid-based approach for genre categorization of web pages. My approach is based on the construction of genre centroids using a set of training web pages. These centroids will be used to classify new web pages. The originality of my approach is the implementation of two new aspects, which are refining and incrementing. My approach is based o...

Research on teaching writing in Arabic as a less commonly taught language is still in its infancy. Motivated by the dearth of research on the integration of the genre-based approach into teaching writing in Arabic and the absence of such an approach, this paper proposes a genre-based framework for teaching writing in Arabic. Building on conclusions drawn from recent research, it proposes four s...

The dynamic nature of web and with the increase of the number of web pages, it is very difficult to search required web pages easily and quickly out of thousands of web pages retrieved by a search engine. The solution to this problem is to classify the web pages according to their genre. Automatic genre identification of web pages has become an important area in web page classification, because...

This paper presents an automatic genre classification model that implements a flexible classification scheme, i.e. a scheme capable of performing zero-, oneor multi-genre assignment. I suggest that this scheme is more appropriate for genres on the web, because many web pages have often more than one genre or none at all. The model that I propose relies on the distinction between the concepts of...