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Folksonomies - Cooperative Classification and Communication Through Shared Metadata

Folksonomies - Cooperative Classification and Communication Through Shared Metadata
The Creation of Metadata: Professionals, Content Creators, Users Metadata is often characterized as “data about data.” Metadata is information, often highly structured, about documents, books, articles, photographs, or other items that is designed to support specific functions. Traditionally metadata is created by dedicated professionals. While professionally created metadata are often considered of high quality, it is costly in terms of time and effort to produce. User created metadata is a third approach, and this paper focuses on grassroots community classification of digital assets. One form of explicit user created metadata was popularized in the late 1990’s with link-‍focused websites called weblogs (Blood 2000). Tagging Content in Del.icio.us and Flickr Del.icio.us ( henceforth referred to as “Delicious”) is a tool to organize web pages. “a social bookmarks manager. Delicious is not unique or pioneering in its role as bookmarks manager. From Tags to Folksonomy

YAGO-NAGA - D5: Databases and Information Systems (Max-Planck-Institut für Informatik) Overview YAGO is a huge semantic knowledge base, derived from Wikipedia WordNet and GeoNames. Currently, YAGO has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities. YAGO is special in several ways: The accuracy of YAGO has been manually evaluated, proving a confirmed accuracy of 95%. YAGO is developed jointly with the DBWeb group at Télécom ParisTech University.

You’re It! Associative model of data The associative model of data is an alternative data model for database systems. Other data models, such as the relational model and the object data model, are record-based. These models involve encompassing attributes about a thing, such as a car, in a record structure. A number of claims made about the model by Simon Williams, in his book The Associative Model of Data, distinguish the associative model from more traditional models. Discussion[edit] In an associative database management system, data and metadata (data about data) are stored as two types of things: Items, each of which has a unique identifier and a name.Links, each of which has a unique identifier, together with the unique identifiers of three other things, that represent the source, verb and target of a fact that is recorded about the source in the database. Here's how the associative model would use these two structures to store the piece of information Flight BA1234 arrived at London Heathrow on 12-Dec-05 at 10:25 am.

H2O Playlist: Home Common Sense Computing Initiative | at the MIT Media Lab Years ago, we made a decision to put all our Python packages in a common namespace called csc . To put it simply, this did not work well. Today, we have finally undone this decision by deprecating the csc namespace and renaming every single one of our modules. Python programmers, please learn from our mistake and never make a namespace package. If you upgrade our software, you'll get more straightforward names for our modules. The new releases are ConceptNet 4.0.0 , Divisi2 2.2.0 , csc-utils 0.6 , and a new package called simplenlp 0.9 . The new names to import are: csc.conceptnet → conceptnet csc.divisi2 → divisi2 csc.nl → simplenlp csc.util → csc_utils csc.corpus → conceptnet.corpus csc.lib → conceptnet.lib csc.django_settings → conceptnet.django_settings csc.pseudo_auth → conceptnet.pseudo_auth csc.webapi → conceptnet.webapi There's still a package called csc , and basically what it's there for is to make your old code keep working.

Public could help BBC to index archive Pilot project allows listeners to add searchable keywords to audio programmes The BBC could ask listeners to write programme information about its radio news bulletins in order to make its vast archives more accessible to future generations of licence payers. Under the Annotatable Audio project, radio listeners would be able to mark and add descriptive keywords to segments of programming they want to flag for bookmarking or sharing with others. It means they could highlight a specific item within a lengthy bulletin stream and return to that particular point later. Inspired by Flickr and Wikipedia, the project is a private, early-stage pilot of social software produced at BBC Radio and Music Interactive that lets listeners slice programmes into chunks that can be identified by using tags. "How are people supposed to find the specific bit of audio or video that they're looking for? Comments From BeachBum, 11:27 10 November 2005 Peter, the whinging Pommie bastard.

ConceptNet | Common Sense Computing Initiative ConceptNet aims to give computers access to common-sense knowledge , the kind of information that ordinary people know but usually leave unstated. The data in ConceptNet is being collected from ordinary people who contributed it on sites like Open Mind Common Sense . ConceptNet represents this data in the form of a semantic network, and makes it available to be used in natural language processing and intelligent user interfaces. ConceptNet is an open source project, with a Python implementation and a REST API that anyone can use to add computational common sense to their own project. A great tool to help you use ConceptNet in your software is Divisi . Some of the nodes and links in ConceptNet. Places to go next ConceptNet Development Team Current developers Project alumni Papers Papers about ConceptNet itself Havasi, C., Speer, R. & Alonso, J. (2007) ConceptNet 3: a Flexible, Multilingual Semantic Network for Common Sense Knowledge. Liu, H. & Singh, P. (2004).

The Need for Creating Tag Standards at The NeoSmart Files Web 2.0, blogging, and tags all go together, hand-in-hand. However, while RPC standards exist for blogs and the pinheads boggle over the true definition of a “blog,” no one has a cast-in-iron standard for tags. Depending on where you go and who you ask, tags are implemented differently, and even defined in their own unique way. To Space or Not to Space, that is the Question This one is probably the most obvious obstacle and the most destructive when it comes to tallying tag popularity or making those pretty tag clouds: Can tags have spaces in them or not?! Yesterday we were discussing how best to implement the tagging feature in the upcoming blogging engine, Habari, and this topic caused quite a lot of confusion. Del.icio.us: WindowsVista Software Microsoft or Windows-Vista… or Windows_Vista Technorati: “Windows Vista” Software Microsoft UTW/WP: Windows Vista, Software, Microsoft That’s assuming you already know what form the site accepts and what it filters out.

XML Introduction - What is XML? You’re It! » Blog Archive » Peter Morville: the Tagsonomy interview Last week I got the chance to talk to Peter Morville about his recent article Authority, his excellent new book Ambient Findability, and the future when everything will be taggable. As usual Peter has some provocative ideas. I’ve asked him to watch the comments here, so feel free to post your comments or ask questions. Gene: How is authority related to findability? Peter: My authority article stirred up a fascinating discussion on Web4Lib centered around this question. I know many people who don’t get tagging. I hate tagging. If “it’s so much easier to drag and drop an email message into a folder than it is to construct keywords that define its aboutness” then what do you do when an email fits equally well in multiple folders? I’m an impatient information architect. With respect to personal information architecture, less is more. Can you elaborate a bit on how tags–user-added descriptive metadata–will help us navigate the internet of objects? You say the future is multi-algorithmic.

Thinkmap SDK The Thinkmap SDK enables organizations to incorporate data-driven visualization technology into their enterprise Web applications. Thinkmap applications allow users to make sense of complex information in ways that traditional interfaces are incapable of. The Thinkmap SDK (v. 2.8) includes a set of out-of-the-box configurations for solving common visualization problems, as well as new visualization techniques for customizing data displays. We have designed Thinkmap to be lightweight, fast, easily extensible, and able to connect seamlessly to a wide variety of data sources. Thinkmap is composed of two primary components: an extremely lightweight and fast browser-based Visualization Component that renders the visualizations and allows for interactive exploration a Data Source API that enables connection to many different types of data sources Thinkmap's flexible architecture allows developers to configure applications to address a wide range of retrieval and discovery issues.

Linked Data | Linked Data - Connect Distributed Data across the Web Open Archives Initiative - Protocol for Metadata Harvesting - v.2.0 Editors The OAI Executive:Carl Lagoze <lagoze@cs.cornell.edu > -- Cornell University - Computer Science Herbert Van de Sompel <herbertv@lanl.gov > -- Los Alamos National Laboratory - Research Library From the OAI Technical Committee:Michael Nelson <m.l.nelson@larc.nasa.gov > -- NASA - Langley Research Center Simeon Warner <simeon@cs.cornell.edu > -- Cornell University - Computer Science Table of Contents 1. The Open Archives Initiative Protocol for Metadata Harvesting (referred to as the OAI-PMH in the remainder of this document) provides an application-independent interoperability framework based on metadata harvesting. Data Providers administer systems that support the OAI-PMH as a means of exposing metadata; and Service Providers use metadata harvested via the OAI-PMH as a basis for building value-added services. This document refers in several places to "community-specific" practices to which individual protocol implementations may conform. 2.1 Harvester 2.2 Repository 2.3 Item 2.5 Record

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