This paper contributes to a facet from the area of Web Information Retrieval that has recently received much attention: The satisfaction of a user’s personal information need with respect to text type, presentation type, or information quality. We imply that such properties can be quantified for all kinds of Web documents, and we subsume them under the term “Web genre” or “genre”. Recent survey...

This paper explores the value of FreeDB as a source of genre and music similarity information. FreeDB is a public, dynamic, uncurated database for identifying and labeling CDs with album, song, artist and genre information. One quality of FreeDB is that there is high variance in, e.g., the genre labels assigned to a particular disc. We investigate here the ability to use these genre labels to p...

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...

This paper examines genre classification of documents and its role in enabling the effective automated management of digital documents by digital libraries and other repositories. We have previously presented genre classification as a valuable step toward achieving automated extraction of descriptive metadata for digital material. Here, we present results from experiments using human labellers,...

We approach the general problem of machineprinted document genre classification using contentfree layout structure analysis. Document genre is determined from the layout structure detected from scanned binary images of the document pages, using no OCR results and minimal a priori knowledge of document logical structures. Our approach uses attributed relational graphs (ARGs) to represent the lay...

Document genres help readers orient themselves when they approach a new document. Once they know a document’s genre, they understand what the document is likely to contain and how they probably can navigate the document. User interfaces also fall into genres that allow users to orient themselves. For instance, Xerox introduced the powerful desktop genre, which facilitated user insight when they...

This paper explores the value of FreeDB as a source of genre and music similarity information. FreeDB is a public, dynamic, uncurated database for identifying and labelling CDs with album, song, artist and genre information. One quality of FreeDB is that there is high variance in, e.g., the genre labels assigned to a particular disc. We investigate here the ability to use these genre labels to ...

This paper explores the possibility of extending the functional genre model to account for non-linear, multi-modal, web-mediated documents. It adds a two-dimensional perspective to the genre analysis model in order to account for the fact that web documents not only act as text but also as medium. A substantial part of the paper is devoted to a discussion of the function of links; mainly becaus...

We argue for a model of document genre that encompasses both linguistic and graphical resources as a means of expression. Two bird books are analysed (1972 and 1996) and a simple framework presented for the description of graphical differentiation of communicative function. The analysis predicts that graphical differentiation in this genre is less in earlier publications. This suggestion is tes...

Classification and abstraction of narrative content is a problem that spans several domains and disciplines ranging from Film Studies and Narratology to Adaptive Hypermedia and Computational Preference Modeling. Applications for automatic recognition and classification of narrative content range from commercial recommendation systems to interactive digital storytelling (IDS) systems. The notion...