This is the Watson Web interface for searching ontologies and semantic documents using keywords. This interface is subject to frequent evolutions and improvements. If you want to share your opinion, suggest improvement or comment on the results, don't hesitate to contact us... At the moment, you can enter a set of keywords (e.g. "cat dog old_lady"), and obtain a list of URIs of semantic documents in which the keywords appear as identifiers or in literals of classes, properties, and individuals. You can also use "jokers" in the keywords (e.g., "ca? dog*"). Navigation in the results follows very simple principles. First, whenever a sign appears, it can be used to display additional information about the element it is attached with. Second, every URI is clickable. A URI is a link to a page describing either the entity or the semantic document it corresponds to, and gives access to additional functionalities using this particular entity or document.
I must admit that lately Google is the cause of my headaches. No, not just because it decided I was not going to be not provided with useful information about my sites. And neither because it is changing practically every tool I got used since my first days as an SEO (Google Analytics, Webmaster Tools, Gmail…). And, honestly, not only because it released a ravenous Panda. No, the real question that is causing my headaches is: What the hell does Google want to go with all these changes?
Workshop attendees from the Semantic Web and relational database communities will examine commonalities, distinctions and next steps for expressing relational data in RDF.
The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. It is a collaborative effort led by W3C with participation from a large number of researchers and industrial partners. It is based on the Resource Description Framework (RDF).
The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. It is a collaborative effort led by W3C with participation from a large number of researchers and industrial pa
The Resource Description Framework (RDF) is a language for representing information about resources in the World Wide Web. This Primer is designed to provide the reader with the basic knowledge required to effectively use RDF. It introduces the basic concepts of RDF and describes its XML syntax. It describes how to define RDF vocabularies using the RDF Vocabulary Description Language, and gives an overview of some deployed RDF applications. It also describes the content and purpose of other RDF specification documents.
voiD (from "Vocabulary of Interlinked Datasets") is an RDF based schema to describe linked datasets. With voiD the discovery and usage of linked datasets can be performed both effectively and efficiently.
"Functional visualizations are more than innovative statistical analyses and computational algorithms. They must make sense to the user and require a visual language system that uses colour, shape, line, hierarchy and composition to communicate clearly and appropriately, much like the alphabetic and character-based languages used worldwide between humans."
A story about the Semantic Web
Transcript, interview bios, and other info (incluyendo una transcripcion espanol) on kateray.net
Downloadable version on drop.io/web3point0
Interviews with:
Tim Berners-Lee
Clay Shirky
Chris Dixon
David Weinberger
Nova Spivack
Jason Shellen
Lee Feigenbaum
John Hebeler
Alon Halevy
David Karger
Abraham Bernstein
datasets like Wikipedia Data Dumps, 2000 Movie Reviews, & UPC Database are difficult to recreate, have high levels of accuracy, are valuable...as this becomes easier to access, the value of these datasets decreases over time.
...Web as a programmable data source as well as a platform for...[the] Web page. Early on, programmable access to Web data entailed a lot of screen scraping. Nowadays it often still does, but it's
We’re programmers and developers working in the web and IT space. Just as a mechanic works under the hood on an automobile to make sure everything is working properly, we’re working under the hood of websites, portals and content management systems to guarantee that our technical business solutions are working efficiently for our clients. Follow along and learn with us, as we share our insights, best practices, and solutions for those trending and puzzling topics in the business and IT alignment and portal and content management world.
This is the report of the W3C Uncertainty Reasoning for the World Wide Web Incubator Group (URW3-XG) as specified in the Deliverables section of its charter.
In this report we present requirements for better defining the challenge of reasoning with and representing uncertain information available through the World Wide Web and related WWW technologies.
Specifically the report:
* identifies and describes situations on the scale of the World Wide Web for which uncertainty reasoning would significantly increase the potential for extracting useful information,
* identifies methodologies that can be applied to these situations and the fundamentals of a standardized representation that could serve as the basis for information exchange necessary for these methodologies to be effectively used,
* includes a set of use cases illustrating conditions under which uncertainty reasoning is important,
* provides an overview and discusses the applicability to the World Wide Web of prominent uncertainty reasoning techniques and the information that needs to be represented for effective uncertainty reasoning to be possible,
* includes a bibliography of work relevant to the challenge of developing standardized representations for uncertainty and exploiting them in Web-based services and applications.
The report identifies various areas which require further investigation and debate.