Group items tagged

tagCare lets you to maintain all your tags jointly in one place, which is especially useful if you normally use several of these different platforms. Many users apply a variety of different tags within different platforms - and finally get lost among them. For example, it is hard to keep track of consistent spelling variants (e.g. not using "science_fiction" in one case and "scienceFiction" in the other) or of preferred terms (e.g. not using "bike" in one case and "bicycle" in the other). Some documents may be tagged with the general term "dog", others more specifically with "greyhound" or "border_collie". tagCare will help you to apply some structure to your tagging vocabulary so that you will more easily navigate through vocabulary choices and use tags more consistently. In tagCare, a user can assemble all tags which he has used within different systems and may then create his own vocabulary hierarchy, synonym collections and cross-references to related terms to establish some lightweight form of controlled vocabulary. This process is also called "tag gardening". Edited and structured tags will then be used to browse document collections in other platforms and to directly tag documents out of tagCare. tagCare is still under development, a first demo version will be available soon and more features will then be added step by step. tagCare will first support Flickr, Bibsonomy and del.icio.us.

Here, we present a computational model that learns structures of many different forms and that discovers which form is best for a given dataset. The model makes probabilistic inferences over a space of graph grammars representing trees, linear orders, multidimensional spaces, rings, dominance hierarchies, cliques, and other forms and successfully discovers the underlying structure of a variety of physical, biological, and social domains. Our approach brings structure learning methods closer to human abilities and may lead to a deeper computational understanding of cognitive development.

Lately I've posted on the need for the enterprise to not use email for everything, and the enabling tools that are more appropriate, especially network centric tools that add the dimension of getting things done via informal circles without relying on just your close colleagues and your hierarchy.

Individual-intelligence research, from a neurological perspective, describes the cortex as a medium for performing conceptual abstraction and specification. This idea has been used to explain how motor-cortex regions responsible for different behavioral modalities such as writing and speaking can express the same general concept represented in the cortex. For example, the concept of a dog, abstractly represented in the higher-layers of the cortex, can either be written or spoken about depending on the context. Abstract models in the higher-layers propagate activation patterns down the cortical hierarchy to the desired region of the motor-cortex for worldly implementation. In this paper, the individual-intelligence framework is expanded to incorporate collective-intelligence within a hyper-cortical construct. This hyper-cortex is a multi-layered network used to represent abstract collective concepts. This collective-intelligence framework plays an important role in understanding how collective-intelligence systems can be engineered to handle collective problem-solving. To conclude the paper, five common problems in the scientific community are solved using an artificial hyper-cortex generated from digital-library metadata.

Annotea Ubimarks is part of Annotea social bookmarks and topics work in Mozilla. It lets any user familiar with the common bookmark user interface metaphora to create metadata for Semantic Web while the complexities of the Semantic Web are hidden from the users. It also offers users better means to share and combine bookmark data and bookmark categories, or topics from several locations or with other metadata. Topics in Annotea can be very simple tags or they can form hierarchies.

Yahoo! GeoPlanet helps bridge the gap between the real and virtual worlds by providing an open, permanent, and intelligent infrastructure for geo-referencing data on the Internet. This page provides open access to the underlying data under a Creative Commons Attribution license so that you can incorporate WOEIDs and the GeoPlanet hierarchy into your own applications.

Yahoo! GeoPlanet helps bridge the gap between the real and virtual worlds by providing an open, permanent, and intelligent infrastructure for geo-referencing data on the Internet. In practical terms, Yahoo! GeoPlanet is a resource for managing all geo-permanent named places on Earth. It provides the geographic developer community with the vocabulary and grammar to describe the world's geography in an unequivocal, permanent, and language-neutral manner. Developers can geo-enable their applications by using GeoPlanet to traverse the global spatial hierarchy, identify the geography relevant to their users and their businesses, and in turn, unambiguously geotag, geotarget, and geolocate data across the Web.