DBpedia

DBpedia ( from "DB" for "database" ) is a project aiming to extract structured content from the information created as part of the Wikipedia project. This structured information is then made available on the World Wide Web.[1] DBpedia allows users to query relationships and properties associated with Wikipedia resources, including links to other related datasets.[2] DBpedia has been described by Tim Berners-Lee as one of the more famous parts of the decentralized Linked Data effort.[3] Background[edit] The project was started by people at the Free University of Berlin and the University of Leipzig, in collaboration with OpenLink Software,[4] and the first publicly available dataset was published in 2007. It is made available under free licences, allowing others to reuse the dataset. Dataset[edit] From this dataset, information spread across multiple pages can be extracted, for example book authorship can be put together from pages about the work, or the author. Examples[edit] Use cases[edit]

Semantic Web roadmap Up to Design Issues A road map for the future, an architectural plan untested by anything except thought experiments. This was written as part of a requested road map for future Web design, from a level of 20,000ft. Necessarily, from 20,000 feet, large things seem to get a small mention. This document is a plan for achieving a set of connected applications for data on the Web in such a way as to form a consistent logical web of data (semantic web). Introduction The Web was designed as an information space, with the goal that it should be useful not only for human-human communication, but also that machines would be able to participate and help. This document gives a road map - a sequence for the incremental introduction of technology to take us, step by step, from the Web of today to a Web in which machine reasoning will be ubiquitous and devastatingly powerful. Machine-Understandable information: Semantic Web The Semantic Web is a web of data, in some ways like a global database. References

tripfs: linked data for filesystems - Digital Curation | Google-grupper Dies kann nur von begrenztem Interesse sein, aber die Linked Data im Web Workshop [1] geht jetzt an WWW2010 hat einen kurzen Aufsatz von Bernhard Schandl darum Dateisysteme als verknüpfte Daten: Heben File Systems in die Linked Data Cloud mit TripFS [2] Es gibt auch eine Demo verfügbar [3], surfen Sie einige Verzeichnisse von Video-und Audio-Inhalte. Ich dachte, es war interessant die Verwendung von RDFa in der HTML-Präsentation zu sehen, um Metadaten zu machen die Bitströme zur Verfügung. Vielleicht ist es nur phantasievoll, sondern mit meinem digitalen Kuration Hut auf, ist es interessant zu Schichtung vorstellen Behauptungen über die Dateiformate in den Beschreibungen sagen, wenn UDFR [4] hatten URIs für Dateiformate entlang der Linien von dem, was Dave Tarrant zeigte im vergangenen Jahr auf iPRES [5, 6]. / / Ed - Sie erhalten diese Nachricht, weil Sie der Google Groups "Digital Curation" Gruppe abonniert haben.

1999: The WWW Proposal and RDF Initial version: 1999-11-12, Dan Brickley danbri@w3.org Revised: March 2001 Status: This is a work in progress, and an early release of the document for feedback from the RDF Interest Group. It is intended as an informal discussion document, and is not a formal publication of any working group, or of the W3C itself. See the Semantic Web Activity pages for information about current W3C work in this area. Although the HTML is valid and the RDF/XML parses successfully with SiRPAC, W3C's Java RDF parser, readers are cautioned that the Javascript demonstration referenced here will only work on some platforms. General comments on this work-in-progress should be sent to the RDF Interest Group; bug reports should be sent to the author. Information Management: Then and Now The original proposal of the WWW from 1989 included a figure showing how information about a Web of relationships amongst named objects could unify a number of information management tasks. (CERN figure from WWW proposal)

How DBpedia Treats Wikipedia as a Database - ReadWriteCloud DBpedia is a community driven effort that treats Wikipedia like a database, enabling people to do more sophisticated queries, distribute the open encyclopedia's data to the Web and add back to Wikipedia for the purposes of enriching it. In a blog post this week, the community showed again what makes the service a unique effort with the launch of the latest version of the technology. You can get into the weeds pretty quick with DBpedia when seeking to better understand how it functions. We see it useful to think of it in terms of context. On Wikipedia, you can do keyword searches for the Rhine River in Germany. But you can't ask it questions that have more context such as the rivers that flow into the Rhine that are longer than 50 kilometers. For example, here are the DBpedia results for the rivers that flow into the Rhine, using DBpedia: This latest release from DBpedia is based upon data extractions it did in October and November of 2010.

The State of Linked Data in 2010 In May last year we wrote about the state of Linked Data, an official W3C project that aims to connect separate data sets on the Web. Linked Data is a subset of the wider Semantic Web movement, in which data on the Web is encoded with meaning using technologies such as RDF and OWL. The ultimate vision is that the Web will become much more structured, which opens up many possibilities for "smarter" Web applications. At this stage last year, we noted that Linked Data was ramping up fast - evidenced by the increasing number of data sets on the Web as at March 2009. Governments Get on Board The most high-profile usage of Linked Data over the past year has come from two governments: the United States and United Kingdom. The U.S. was first to open up some of its non-personal data for use by developers, with the May 2009 launch of Data.gov. Following on from the launch of Data.gov.uk, U.K. Commercial Applications However it's relatively early days for commercial applications of Linked Data.

data provenance First Drafts of Three Audio API Specifications Published 15 December 2011 The Audio Working Group has published three First Public Working Drafts to provide an advanced audio API for the Web: the Web Audio API and MediaStream Processing API specifications each define a different approach to process and synthesize audio streams directly in script. Read the blog post Sounding Out the Audio APIs for more information about the possibilities unlocked by an audio API, and learn more about the Rich Web Clients Activity. Drafts Updated for XHTML+RDFa 1.1 and RDFa Core 1.1 The RDF Web Applications Working Group has published a Working Draft of RDFa Core 1.1, a specification for attributes to express structured data in any markup language. The PROV Data Model and Abstract Syntax Notation Draft Published The Provenance Working Group has published a Working Draft of The PROV Data Model and Abstract Syntax Notation. CSS 2D Transforms Updated W3C Invites Implementations of Touch Events version 1

Grassroots Programs - Annual2009 In addition to programs sponsored by divisions, round tables and committees, this year's Annual Conference features 10 "Grassroots Programs" selected by a jury of library school students and practitioners from 118 proposals. These Grassroots Programs are part of ALA president Jim Rettig's presidential initiative to increase opportunities for members to participate in, contribute to and benefit from their association. The purpose of this initiative has been to broaden opportunities for ALA members to present programs at the Annual Conference and to compress the planning schedule to accommodate programs on very current issues. View the list of Grassroots Program (goes to the ALA website) From Legacy Data to Linked Data: Preparing Libraries for Web 3.0 Presentations from this program are available below: Eric Miller (Zepheira), "Linked Data and Libraries" [1] Diane Hillmann (Information Institute of Syracuse; Metadata Management Associates), "Are Libraries Ready for Linked Data?"

Linked Data - Design Issues Up to Design Issues The Semantic Web isn't just about putting data on the web. It is about making links, so that a person or machine can explore the web of data. With linked data, when you have some of it, you can find other, related, data. Like the web of hypertext, the web of data is constructed with documents on the web. However, unlike the web of hypertext, where links are relationships anchors in hypertext documents written in HTML, for data they links between arbitrary things described by RDF,. Use URIs as names for things Use HTTP URIs so that people can look up those names. Simple. The four rules I'll refer to the steps above as rules, but they are expectations of behavior. The first rule, to identify things with URIs, is pretty much understood by most people doing semantic web technology. The second rule, to use HTTP URIs, is also widely understood. The basic format here for RDF/XML, with its popular alternative serialization N3 (or Turtle). Basic web look-up or in RDF/XML

How to publish Linked Data on the Web This document provides a tutorial on how to publish Linked Data on the Web. After a general overview of the concept of Linked Data, we describe several practical recipes for publishing information as Linked Data on the Web. This tutorial has been superseeded by the book Linked Data: Evolving the Web into a Global Data Space written by Tom Heath and Christian Bizer. This tutorial was published in 2007 and is still online for historical reasons. The Linked Data book was published in 2011 and provides a more detailed and up-to-date introduction into Linked Data. The goal of Linked Data is to enable people to share structured data on the Web as easily as they can share documents today. The term Linked Data was coined by Tim Berners-Lee in his Linked Data Web architecture note. Applying both principles leads to the creation of a data commons on the Web, a space where people and organizations can post and consume data about anything. This chapter describes the basic principles of Linked Data.