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Semanticweb.com - The Voice of Semantic Web Business

Semanticweb.com - The Voice of Semantic Web Business
This week saw schema.org introduce vocabulary that enables websites to describe the actions they enable and how these actions can be invoked, in the hope that these additions will help unleash new categories of applications, according to a new post by Dan Brickley. This represents an expansion of the vocabulary’s focus point from describing entities to taking action on these entities. The work has been in progress, Brickley explains here, for the last couple of years, building on the http://schema.org/Action types added last August by providing a way of describing the capability to perform actions in the future. The three action status type now includes PotentialActionStatus for a description of an action that is supported, ActiveActionStatus for an in-progress action, and CompletedActionStatus, for an action that has already taken place.

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Tools - Visual Data Web More information on the DBpedia endpoint availability. Several tools have already been developed in the project that showcase the visual power of the Data Web. The following four tools are all implemented in the open source framework Adobe Flex. Knowledge Navigator <^> Introduction Ontology4 provides three different levels of query languages: Predicate Language has a more simple syntax and is closer to first order predicates. PQL expressions are translated to OQL queries. OQL has a set of functions, which can be directly translated to SQL-queries for the conceptual model of Ontology4. SQL queries are executed against the Ontology4 knowledge bases. Subject-Relation-Object-Time Quadrupels

The Semantic Web and the Modern Enterprise For over a decade the Semantic Web has been maligned, misconstrued and misunderstood. It’s been overhyped by its supporters while its critics have hung the albatross of artificial intelligence around its neck. Even its successes have been understated, often coming with little fanfare and without the mindshare and hype surrounding other trends such as Web 2.0, NoSQL or Big Data. So I wouldn’t fault you in the slightest if you were surprised, confused or downright skeptical when I claim that the Semantic Web is emerging as the technology of choice for tackling some of today’s most pressing challenges in enterprise information management. This article is the first in a series that will introduce and explain Semantic Web technologies and their role in enterprise information management today. The World Wide Web Today: A Web of Documents

Episode 2 of The Semantic Link podcast discusses Drupal and more Episode 2 of our new Semantic Link podcast went up on SemanticWeb.com this evening, and it’s another good one. Not that I’m biased or anything. The whole team is present once more, and we start the show discussing the implications of Drupal 7 and its newly formalised RDFa-publishing capabilities. About Five AKSW Papers at ESWC 2014 Hello World! We are very pleased to announce that five of our papers were accepted for presentation at ESWC 2014. These papers range from natural-language processing to the acquisition of temporal data. Read more about "Five AKSW Papers at ESWC 2014"

Product Modelling using Semantic Web Technologies Abstract This W3C Incubator Group (XG) seeks to enable the use of the (Semantic) Web for Product Modelling (PM): the definition, storage, exchange and sharing of product data. Product data is information about the structure and behaviour of things that are realized in industrial processes. So principally product data is about things that are manmade, but it can also be about things in the natural world that interact with those industrial processes and/or its resulting products. Typical products would include automobiles, airplanes, buildings, infrastructures, ships and other manmade complex products.

Silk - A Link Discovery Framework for the Web of Data The Silk framework is a tool for discovering relationships between data items within different Linked Data sources. Data publishers can use Silk to set RDF links from their data sources to other data sources on the Web. News Thoughts on Google Plus: The Magic Isn’t Social, It’s Semantic It’s been said that I’ve called Google Plus “one of the subtlest and most user-friendly ontology development systems we’ve ever seen.” I did, and you can listen for yourselves on the Semantic Link podcast. Why did I do so? Well, G+ follows some of the basic principles of linked data: it uses persistent HTTP URIs for people, Sparks (concepts) and posts. It allows you to indicate a relationship between to entities and give that relationship a type.

Strata Conference 2011, Day 2 Keynotes Day 2, and after yesterday’s tutorials the conference is really getting going. Here’s a stream of consciousness from the morning’s keynotes at this sold-out event. “In the same way that the industrial revolution changed what it meant to be human, the data revolution is changing what it means to be alive.” The first of this morning’s keynotes; Hilary Mason from link shortener bit.ly. SweoIG/TaskForces/CommunityProjects/LinkingOpenData - W3C Wiki News 2014-12-03: The 8th edition of the Linked Data on the Web workshop will take place at WWW2015 in Florence, Italy. The paper submission deadline for the workshop is 15 March, 2015. 2014-09-10: An updated version of the LOD Cloud diagram has been published. The new version contains 570 linked datasets which are connected by 2909 linksets. New statistics about the adoption of the Linked Data best practices are found in an updated version of the State of the LOD Cloud document. 2014-04-26: The 7th edition of the Linked Data on the Web workshop took place at WWW2014 in Seoul, Korea.

Product Modelling using Semantic Web Technologies Abstract This W3C Incubator Group (XG) seeks to enable the use of the (Semantic) Web for Product Modelling (PM): the definition, storage, exchange and sharing of product data. Product data is information about the structure and behaviour of things that are realized in industrial processes. So principally product data is about things that are manmade, but it can also be about things in the natural world that interact with those industrial processes and/or its resulting products. Typical products would include automobiles, airplanes, buildings, infrastructures, ships and other manmade complex products. This report describes the role and scope of product data, and initial work in two technical areas:

dbpedia « Griff's Graphs First of all, thanks very much for the feedback you all gave me on my graph of ideas. I wasn’t quite aware of how many people are interested in this sort of stuff. I now have lots of great ideas for new projects which will keep me busy for a long while. I must say making the graphs is the easy part – it is obtaining the data which takes time. I’ve made a note of all of your suggestions and will try to create something out of them soon. If you haven’t already, you can submit an idea here.

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