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.
Tags & Folksonomies - What are they, and why should you care? Tags, or folksonomies are actually a lot simpler than much of the acedemic debate surrounding them. Put simply, they are a user defined method for organizing data. Im going to try to explain what they are, why they are important to marketers and web devs and suggest some ways you might use them. Follow the title link above for the full post. First, Some Examples of Tags in Action There are only a few good, working examples of tagging in operation right now. del.icio.us - a social bookmarking systemFlickr - a photo publishing / sharing siteTechnorati Tags - a recent feature added to the popular blog search engineMetaFilter Tags - another recently added feature to the original group blog.TagSurf - an experimental forum based on tags rather than the standard way of organizing topics del.icio.us and flickr were the first systems to use tagging as far as im aware, at least to become popular because of it. So How does it Work? So What Makes Tags Important? Oh boy, starting to get the picture?
Structure and form of folksonomy tags: The road to the public library catalogue Louise F. Spiteri School of Information Management, Dalhousie University, Halifax, Nova Scotia. Canada. Email: Louise.Spiteri (at) dal.ca Received May 8, 2007; Accepted June 5, 2007 Abstract Folksonomies have the potential to add much value to public library catalogues by enabling clients to: store, maintain, and organize items of interest in the catalogue using their own tags. Keywords Collaborative tagging; Controlled vocabularies; Folksonomies; Guidelines Introduction Digital document repositories such as library catalogues normally index the subject of their contents via keywords or subject headings. In order to understand more fully these applications, it is important to examine how folksonomies are structured and used, and the extent to which they reflect user needs not found in existing lists of subject headings. Definitions of Folksonomies Folksonomies have been described as "user created metadata . .. . grassroots community classification of digital assets" (Mathes, 2004). Findings
You’re It! Фолксономия Фолксоно́мия (англ. folksonomy, от folk — народный + taxonomy таксономия, от гр. расположение по порядку + закон) — народная классификация, практика совместной категоризации информации (текстов, ссылок, фото, видео клипов и т. п.) посредством произвольно выбираемых меток, называемых тегами. Другими словами, это понятие относится к спонтанному сотрудничеству группы людей с целью организации информации, которое интересно тем, что оно полностью отличается от традиционных формальных методов фасетной классификации. Как правило, это явление возникает только в неиерархических сообществах, таких как общедоступные веб-сайты, а не в многоуровневых коллективах. Пример[править | править исходный текст] Более или менее удачное применение народной классификации: (определённое число раз применённый тег автоматически становится отображаемым в текстах описаний музыкальных групп). См. также[править | править исходный текст] Облако тегов
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 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.
Folksonomy :: vanderwal.net This page is a static permanent web document. It has been written to provide a place to cite the coinage of folksonomy. This is response the request from many in the academic community to document the circumstances and date of the creation of the term folksonomy. The definition at creation is also part of this document. This document pulls together bits of conversations and ideas I wrote regarding folksonomy on listserves, e-mail, in my blogs and in blog comments on other's sites in 2004. Background I have been a fan of ad hoc labeling and tagging systems since at least the late 1980s after watching a co-worker work his magic with Lotus Magellan (he would add his own ad hoc keywords or tags to the documents on his hard drive, paying particular attention to add these tags to documents others created so to add his context). In 2003 del.icio.us was started by Joshua Schacter and it included identity in its social bookmarking. Creation of Folksonomy Term Definition of Folksonomy
HierarchyVersusFacetsVersusTags See ClassificationPaperOutline2 for a more up-to-date version of this paper. The problem of where to file: Is it possible to construct the perfect classification system? A truly first-rate hierarchy would not only have all of the characteristics of FN's hierarchy [_hey - what's an 'FN'?_], but it would also manage to encode the hierarchy in such a way as to eliminate all ambiguity as to where an item might be found. FN comes pretty close. But you can always imagine that it might be hard to decide where that sock garter really goes? [As a result, Hierarchies are horrible at #3: Targeted search and retrieval of individual items. But as you'll, see this is a problem even in faceted classification systems. How the cookie crumbles: The ways in which hierarchies fail: Nobody builds semantically pure hierarchies, it's just too much work. Look at the Finder screenshot on the HierarchyPapers. [More reasons why hierarchies are bad at #3: Targeted search and retrieval of individual items] 1. 3. 4. 1.
H2O Playlist: Home TAGora » Tagging Discover social tagging websites | Learn how to use them Social tagging websites Social online tagging is one of the core activities of the so-called Web2.0. Therefore, there are dozens of social tagging websites, and it is virtually impossible to draw a complete list of them. Del.icio.us is the world-wide reference site for social bookmarking. Flickr.com allows users to upload and tag your photos, browse others’ ones and join groups of users with similar interests. Last.fm Users of last.fm listen to music online for free. Bibsonomy.org is a collaborative website for collecting, sharing and organizing scientific citations and bookmarks. CiteULike.org like Bibsonomy, allows users to save references to academic literature. Connotea.org Another social tagging systems for scholars, much like Bibsonomy and CiteUlike. Diigo.com is a social bookmarking website where, besides the usual tagging functions, users can highlight and add sticky notes to the webpages they post.
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.
Folksonomy An empirical analysis of the complex dynamics of tagging systems, published in 2007, has shown that consensus around stable distributions and shared vocabularies does emerge, even in the absence of a central controlled vocabulary. For content to be searchable, it should be categorized and grouped. While this was believed to require commonly agreed on sets of content describing tags (much like keywords of a journal article), recent research has found that, in large folksonomies, common structures also emerge on the level of categorizations. Accordingly, it is possible to devise mathematical models of collaborative tagging that allow for translating from personal tag vocabularies (personomies) to the vocabulary shared by most users. Origin Folksonomy is a type of collaborative tagging system in which the classification of data is done by users. There are two different groups of folksonomies. Semantic Web Library Catalogs Folksontology See also
As of a recent post on Google Books and the research of History, our quiet little blog here on academic history, activism, and spirituality has suddenly gotten more notoriety than it's accustomed to. Hi world! Thanks for stopping by. To carry on with the thread of how information travels for academics, and what the 'net is doing, let's talk about another of my favorite sites for research, del.icio.us. Delicious is the Rome, Jerusalem, and Paris of my existence as an academic these days. It's where I make my friends, how I get the news, and where I go to trade. Why? 1) it sorts things. For two years I've been using Delicious as an information organizer. The result is a navigable taxonomy of my thoughts. After a year of using delicious for my own bookmarks, helping other people find things becomes remarkably easy. Second reason delicious is cool: 2) it makes things public. Not only can you look at your own bookmarks, but you can also look at others'. I don't check in with them.