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Social tagging systems have recently developed as a popular method of data organisation on the Internet. These systems allow users to organise their content in a way that makes sense to them, rather than forcing them to use a pre-determined…

Information Retrieval · Computer Science 2009-11-24 Morgan Harvey , Mark Baillie , Ian Ruthven , David Elsweiler

The paper presents our design of a next generation information retrieval system based on tag co-occurrences and subsequent clustering. We help users getting access to digital data through information visualization in the form of tag…

Information Retrieval · Computer Science 2010-03-05 Kathrin Knautz , Simone Soubusta , Wolfgang G. Stock

Tag clouds provide an aggregate of tag-usage statistics. They are typically sent as in-line HTML to browsers. However, display mechanisms suited for ordinary text are not ideal for tags, because font sizes may vary widely on a line. As…

Data Structures and Algorithms · Computer Science 2009-04-22 Owen Kaser , Daniel Lemire

Folksonomy is said to provide a democratic tagging system that reflects the opinions of the general public, but it is not a classification system and it is hard to make sense of. It would be necessary to share a representation of contexts…

Social and Information Networks · Computer Science 2011-12-20 Massimiliano Dal Mas

Tags are short sequences of words allowing to describe textual and non-texual resources such as as music, image or book. Tags could be used by machine information retrieval systems to access quickly a document. These tags can be used to…

Information Retrieval · Computer Science 2021-10-22 Gaëlle Candel , David Naccache

In our daily lives, organizing resources into a set of categories is a common task. Categorization becomes more useful as the collection of resources increases. Large collections of books, movies, and web pages, for instance, are cataloged…

Digital Libraries · Computer Science 2012-05-01 Arkaitz Zubiaga

Social (or folksonomic) tagging has become a very popular way to describe content within Web 2.0 websites. However, as tags are informally defined, continually changing, and ungoverned, it has often been criticised for lowering, rather than…

Information Retrieval · Computer Science 2012-07-26 Giovanni Quattrone , Licia Capra , Pasquale De Meo , Emilio Ferrara , Domenico Ursino

The profusion of online digital images presents new challenges for image indexing. Images have always been problematic to describe and catalogue due to lack of inherent textual data and ambiguity of meaning. An alternative to time-consuming…

Digital Libraries · Computer Science 2009-12-10 Samuel Piker

The past few years have witnessed the great success of a new family of paradigms, so-called folksonomy, which allows users to freely associate tags to resources and efficiently manage them. In order to uncover the underlying structures and…

Physics and Society · Physics 2015-05-18 Zi-Ke Zhang , Chuang Liu

Many social Web sites allow users to annotate the content with descriptive metadata, such as tags, and more recently to organize content hierarchically. These types of structured metadata provide valuable evidence for learning how a…

Artificial Intelligence · Computer Science 2010-05-28 Anon Plangprasopchok , Kristina Lerman , Lise Getoor

Tag-based retrieval of multimedia content is a difficult problem, not only because of the shorter length of tags associated with images and videos, but also due to mismatch in the terminologies used by searcher and content creator. To…

Information Retrieval · Computer Science 2015-03-19 Amruta Joshi , Junghoo Cho , Dragomir Radev , Ahmed Hassan

This paper gives an overview of current trends in manual indexing on the Web. Along with a general rise of user generated content there are more and more tagging systems that allow users to annotate digital resources with tags (keywords)…

Information Retrieval · Computer Science 2007-05-23 Jakob Voss

The folksonomy is the result of free personal information or assignment of tags to an object (determined by the URI) in order to find them. The practice of tagging is done in a collective environment. Folksonomies are self constructed,…

Human-Computer Interaction · Computer Science 2012-03-29 Massimiliano Dal Mas

Collaborative tagging describes the process by which many users add metadata in the form of keywords to shared content. Recently, collaborative tagging has grown in popularity on the web, on sites that allow users to tag bookmarks,…

Digital Libraries · Computer Science 2007-05-23 Scott Golder , Bernardo A. Huberman

Social tagging has become an interesting approach to improve search and navigation over the actual Web, since it aggregates the tags added by different users to the same resource in a collaborative way. This way, it results in a list of…

Information Retrieval · Computer Science 2012-02-27 Arkaitz Zubiaga

Legacy software documents are hard to understand and visualize. The tag cloud technique helps software developers to visualize the contents of software documents. A tag cloud is a well-known and simple visualization technique. This paper…

Software Engineering · Computer Science 2021-10-01 Ra'Fat Al-Msie'deen

With the emergence of Web 2.0, tag recommenders have become important tools, which aim to support users in finding descriptive tags for their bookmarked resources. Although current algorithms provide good results in terms of tag prediction…

Information Retrieval · Computer Science 2018-05-31 Dominik Kowald

Social bookmarking and tagging has emerged a new era in user collaboration. Collaborative Tagging allows users to annotate content of their liking, which via the appropriate algorithms can render useful for the provision of product…

Social and Information Networks · Computer Science 2014-10-21 Georgios Pitsilis , Wei Wang

Recently, collaborative tagging systems have attracted more and more attention and have been widely applied in web systems. Tags provide highly abstracted information about personal preferences and item content, and are therefore potential…

Information Retrieval · Computer Science 2009-07-21 Zi-Ke Zhang , Tao Zhou

Traditional clustering methods aim to group unlabeled data points based on their similarity to each other. However, clustering, in the absence of additional information, is an ill-posed problem as there may be many different, yet equally…

Computer Vision and Pattern Recognition · Computer Science 2025-09-10 Bingchen Zhao , Oisin Mac Aodha
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