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Top-Down: A New Approach to the Semantic Web

Top-Down: A New Approach to the Semantic Web
Earlier this week we wrote about the classic approach to the semantic web and the difficulties with that approach. While the original vision of the layer on top of the current web, which annotates information in a way that is "understandable" by computers, is compelling; there are technical, scientific and business issues that have been difficult to address. One of the technical difficulties that we outlined was the bottom-up nature of the classic semantic web approach. Specifically, each web site needs to annotate information in RDF, OWL, etc. in order for computers to be able to "understand" it. As things stand today, there is little reason for web site owners to do that. But there are alternative approaches. In this post, we will look at the solution that we call the top-down approach to the semantic web, because instead of requiring developers to change or augment the web, this approach leverages and builds on top of current web as-is. Why Do We Need The Semantic Web? Conclusion Related:  Machine learning

Semantic Web Patterns: A Guide to Semantic Technologies In this article, we'll analyze the trends and technologies that power the Semantic Web. We'll identify patterns that are beginning to emerge, classify the different trends, and peak into what the future holds. In a recent interview Tim Berners-Lee pointed out that the infrastructure to power the Semantic Web is already here. ReadWriteWeb's founder, Richard MacManus, even picked it to be the number one trend in 2008. The Semantic Web means many things to different people, because there are a lot of pieces to it. The disagreement is not accidental, because the technology and concepts are broad. 1. We have written a lot about the different approaches to the Semantic Web - the classic bottom-up approach and the new top-down one. A big win for the bottom-up approach was recent announcement from Yahoo! Another recent win for the bottom-up approach was the announcement of the Semantify web service from Dapper (previous coverage). 2. At present, most use of RDF is for interoperability. 3. 4.

Semantic Web: Difficulties with the Classic Approach Summary: The original vision of the semantic web as a layer on top of the current web, annotated in a way that computers can "understand," is certainly grandiose and intriguing. Yet, for the past decade it has been a kind of academic exercise rather than a practical technology. This article explores why; and what we can do about it. Update: Part 2 is available now Top-Down: A New Approach to the Semantic Web The semantic web is a vision pioneered by Sir Tim Berners-Lee, in which information is expressed in a language understood by computers. The purpose of the semantic web is to enable computers to "understand" semantics the way humans do. For example, in a New York Times article, written earlier this year, John Markoff discussed a scenario where you would be able to ask a computer to find you a low budget vacation, keeping in mind that you have a 3 year old child. But while the vision of a semantic web is powerful, it has been a over a decade in making. Classic Semantic Web Review 1.

Semantic Web W3C's Semantic Web logo The Semantic Web is a collaborative movement led by international standards body the World Wide Web Consortium (W3C).[1] The standard promotes common data formats on the World Wide Web. By encouraging the inclusion of semantic content in web pages, the Semantic Web aims at converting the current web, dominated by unstructured and semi-structured documents into a "web of data". According to the W3C, "The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries While its critics have questioned its feasibility, proponents argue that applications in industry, biology and human sciences research have already proven the validity of the original concept. The original 2001 Scientific American article by Berners-Lee, Hendler, and Lassila described an expected evolution of the existing Web to a Semantic Web,[5] but this has yet to happen. History[edit] Purpose[edit] Semantic Web solutions[edit]

The Web of Data: Creating Machine-Accessible Information In the coming years, we will see a revolution in the ability of machines to access, process, and apply information. This revolution will emerge from three distinct areas of activity connected to the Semantic Web: the Web of Data, the Web of Services, and the Web of Identity providers. These webs aim to make semantic knowledge of data accessible, semantic services available and connectable, and semantic knowledge of individuals processable, respectively. The amount of information and services available is growing exponentially. Because it can't. It is critical that machines gain a new level of understanding. The Web of Data The idea of the Web of Data originated with the Semantic Web. These approaches have in common the effort to improve the machine-accessibility of knowledge on web pages that were designed to be consumed by humans. Linking Open Data One promising approach is W3C's Linking Open Data (LOD) project. Check out Tim Berners-Lee's talk at TED about the Web of Data.

GUESS: The Graph Exploration System, Download Download If you would just like to run GUESS you have the option: Version 1.0.3-beta Install the latest beta (08/13/2007). This does not come with an installer, but has many more features. I am working on a general installer for all systems, but please let me know if you have any problems installing in the meantime. You will want to read the README.TXT and tutorial/walk through in the manual. Source GUESS is distributed under a GPL license. Planète Web Sémantique

Linked Data | Linked Data - Connect Distributed Data across the Copycat (software) Copycat is a model of analogy making and human cognition based on the concept of the parallel terraced scan, developed in 1988 by Douglas Hofstadter, Melanie Mitchell, and others at the Center for Research on Concepts and Cognition, Indiana University Bloomington. The original Copycat was written in Common Lisp and is bitrotten (as it relies on now-outdated graphics libraries); however, a Java port exists. Copycat produces answers to such problems as "abc is to abd as ijk is to what?" (abc:abd :: ijk:?). Hofstadter and Mitchell consider analogy making as the core of high-level cognition, or high-level perception, as Hofstadter calls it, basic to recognition and categorization. High-level perception emerges from the spreading activity of many independent processes, called codelets, running in parallel, competing or cooperating. Copycat is Hofstadter's most popular model.

Linked Data is Blooming: Why You Should Care Last week we discussed how the current era of the Web is evolving. One of the concepts we noted was Linked Data, an idea whose time has come in 2009. Sir Tim Berners-Lee, the inventor of the Web, gave a must-view talk at the TED Conference earlier this year, evangelizing Linked Data. He said that Linked Data was a sea change akin to the invention of the WWW itself. We've gone from a Web of documents, via the WWW, to a Web of data. Berners-Lee is now on a crusade for everyone from government departments, to individuals, to open up their data and put it on the Web - so that others can link to it and use it. Linked Data: An Idea Whose Time Has Come Linked Data is an official W3C project. Tim Berners-Lee described Linked Data as a grassroots movement in his TED presentation. Linked Data in a Nutshell In a W3C memo that Berners-Lee published in July 2007, he described four principles of Linked Data. Use URIs to identify things that you expose to the Web as resources.

RDF-Gravity Sunil Goyal, Rupert Westenthaler {sgoyal, rwestenthaler}@salzburgresearch.at Salzburg Research, Austria RDF Gravity is a tool for visualising RDF/OWL Graphs/ ontologies. Its main features are: Graph VisualizationGlobal and Local Filters (enabling specific views on a graph) Full text SearchGenerating views from RDQL QueriesVisualising multiple RDF files RDF Gravity is implemented by using the JUNG Graph API and Jena semantic web toolkit. Figure 1: Screenshot of RDF-Gravity, showing a part of Wine Ontology 1 Graph Visualisation RDF Gravity defines a visualization package on top of the JUNG Graph API. Configurable renderers for edges and nodes of a graph, including different node shapes and edge decorations etc.A Renderer Factory allowing the configuration of the above node and edge renderers based on the type of an edge or node. For graph layout, it uses the layout algorithms directly supported by the Jung API. 2 Global & Local Filters 3 Full Text Search 4 Visualising Multiple RDF Files

DiSo Project Libérons les données ! Il me parait tous les jours plus clair que nos amis les données veulent partir en vacance. Ce besoin de voyage est d’autant plus fort que le coût d’un trajet numérique Boston / Bangalore tend vers zéro. Et puis après tout, n’est ce pas dans notre nature de partager, copier, diffuser l’information ? Je crois profondément que nous sommes à l’aube d’une ère nouvelle. Malheureusement (heureusement?) Le monde change vite, trop vite. Et dans tout ça. Pour compléter cet article j’ai republié cet excellent reportage: La discussion est ouverte. share

Quote from the post: The essence of a top-down semantic web service is simple - leverage existing web information, apply specific, vertical semantic knowledge and then redeliver the results via a consumer-centric application. by trappi Jul 19

Related:  Semantic Webgoogle