Tag: Rdf

It has been twelve years since Tim Berners-Lee threw up his hands and said "it's all crap, let's do it over" and set off to create the Semantic Web. We've got very little to show for it so far. I firmly believe the work Semantic Web technologists are pursuing is important and the concepts will inevitably be realized and I very much want to see this research become viable. But things are not moving fast enough and the tack semantic researchers are taking simply isn't working.

Semantic Web technology is marred in a chicken/egg paradox. The technologies are generally not useful unless they are adopted and implemented on a large scale and people are not willing to invest in implementing them unless they are useful. This is exacerbated by the fact that there are very high technology, business, and social barriers to implementing the Semantic Web.

Continue reading RDF Semantic Web Research Isn't Working

A large percentage of content that users deal with on a daily basis is created by other users. Every minute more than 90,000 videos and images are uploaded to YouTube, Flickr and other social media websites, yet this represents a relatively small revenue percentage when compared with traditional media. We believe that one reason for this is the publisher's lack of ability to understand high density content that lacks the adequate description. With mobile platforms providing users with easy methods for rich media upload, this problem will rapidly increase.

Continue reading Bueda API Turns Tags into RDF URIs

Oracle 10g Release 2 / Oracle 11g offers a robust, scalable, secure platform to store RDF and OWL data. It allows efficient storage, loading and querying of semantic data. Queries are enhanced by adding relationships (ontologies) to data and evaluated on the basis of semantics. Data storage is in the form of RDF triples (Subject, Predicate, Object) and can scale up to millions of triples. The triples stored in the semantic data store are modeled as a graphed structure. All the data is stored in a single central schema allowing access to users for loading and querying data.

Continue reading Semantic Data Storage in Oracle

Freebase stores millions of entities and assertions about nearly every topic one can ponder (thanks are owed to their seed dataset – Wikipedia – and their amazing community). The amount of information that Freebase stores is incredible, and is a testament to what can be accomplished with the help of a dedicated community and a little (or a lot) of clever software engineering.

Continue reading Can Graphd Scale to Meet Semantic Web Demands?

I just stumbled upon a useful resource from Sindice (the Semantic Web search engine) called the Map of Data. The Map of Data lists sites that export their information via Microformats and embedded RDF (as well which format(s) the sites are using). Each site has been categorized and conveniently placed into lists. The categories include books, people, places, products and listings, social news, events, politics, and more. According to Sindice over 10 billion pieces of reusable information can already be found across 100 million pages.

At ISWC2008 Freebase released its new RDF service for generating RDF representations of Freebase topics, allowing Freebase to be used as Linked Data! To obtain the RDF data for a topic send a GET request to http://rdf.freebase.com/rdf/some.topic.id where "some.topic.id" is replaced by the desired topic identifier (slashes in the identifier must be replaced by dots). Topic data can be represented as N3, RDF/XML or Turtle depending on the preferences expressed in your client's HTTP Accept header. Try it out with the Freebase topic Semantic Web.

Continue reading Freebase Officially Linked Data with Release of RDF Service

Unlike traditional search engines, which crawl the Web gathering Web pages, Semantic Web search engines index RDF data stored on the Web and provide an interface to search through the crawled data. Below is a list of Semantic Web search engines that are currently under development.

Continue reading Semantic Web Search Engine Roundup

Update: 302 Semantic Web Videos and Podcasts!

I've compiled a list of videos about the Semantic Web, RDF, and OWL for your viewing pleasure! Most of these videos are short, ranging from about 6 to 10 minutes while others are long (45+ minutes). Included are a few introductions, a few interviews, and a few that get into the gritty details.

Continue reading 17 Semantic Web, RDF, and OWL Videos

Open Calais - a new and smart API from Reuters - finally does what critics say to be the greatest obstacle to the Semantic Web: Taking the metadata burden from the end-user by providing an automatic meta-tagging tool. The principle behind Open Calais is easy: Put in some unstructured text and get in return nicely structured RDF-data. Backed by powerful Text Mining and machine learning techniques the API automatically detects entities like persons, events, countries and other facts.

Open Calais takes account of the fact that the added value of content is hidden in its structure. Uncovering that structure and representing it in a interoperable format makes existing resources more programmable and reusable.

But what is in for Reuters? Nothing less than the biggest structured content repository on the web. Should not we talk about this little fact as well?

We're still using Protege, but this time working with the new ALPHA version and getting deeper into concepts.

Get the Flash Player to see this player.