June 06, 2010
Atigeo: Interview with Chief Scientist Dr. Oliver "Olly" Downs

Tony Shaw: Hi Olly, so to get us started, could you give me a high-level overview of what Atigeo does?

Olly Downs: Absolutely. Atigeo’s platform, xPatterns, enables enterprises to derive insights from large, disparate sources of unstructured data. In doing so, we’ve taken two approaches toward how our platform is productized. The first approach is around aspects of our core technology, which allows us to build simple ontologies for domains of unstructured data and then act upon the understanding of the data - in response to queries or profiles of entities, for example. The second aspect of our product enables enterprises to provide customers the ability to access and manage their profile or persona.

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SemTech 2009: The Game Changer - Siri Virtual Personal Assistant

KEYNOTE: The Game Changer: Siri, a Virtual Personal Assistant from Semantic Universe on Vimeo.

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juansequeda's picture
August 17, 2010
Bridging the gap: How Semantic Web can move into the mainstream through SXSW

Personally, I believe that the Semantic Web will become mainstream in the next few years (I actually have a bet on this with some college friends). I know that this is a strong statement, but I am confident that it will happen. Mainstream is defined in Wikipedia as “the common current of thought of the majority”. Furthermore it states that something is mainstream if it “is available to the general public” and it “has ties to corporate or commercial entities”. However, how do you evaluate if something is on the verge of becoming mainstream? I propose the following metric:  inclusion at the South by South West (SXSW) Conference!
 

juansequeda's picture
June 18, 2010
Relational Database and the Semantic Web

In order for the Semantic Web to become a reality and success, there needs to be data on the web published as Linked Data. However, data on the web is not a new thing. People have been publishing raw data for a long time as XML, CSV or even spreadsheets. Data can also be accessed through APIs.  But where does most of the data on the web come from? Relational Databases!

bsletten's picture
June 11, 2010
Semantic Universe Linked Data : Part I "RDFification"

The first of four articles about Semantic Universe joining the Linked Data cloud.

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Articles

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06.28.10 |
Matt Fisher
Putting POWDER to Work

In September 2009, the W3C elevated the Protocol for Web Description Resources (POWDER) artifacts to a Recommendation.  POWDER is a great bonus to the Semantic Web and to the larger Internet in general.  But what is the specification all about?  And why don’t we seem to hear more about it along with RDF and OWL?  This article will get you up-to-speed with what you need to know about POWDER.

06.22.10 |
Stefan Andreasen
The Power of Social Media Data in Business

With just about every major brand and celebrity on Facebook and Twitter, the line between social media and popular culture is becoming harder to distinguish by the day. What is evident is the incredible power social media has in uncovering popular sentiment... 

06.15.10 |
Peter Sweeney
Anne Hunt
Thought networking: Building the Semantic Web with consumer-directed semantic networking

How do we roll out the Semantic Web? Paradoxically, the fast track may involve getting help from billions of people who know nothing about the Semantic Web and have no interest in it.

05.10.10 |
Dmitri Soubbotin
A Semantic-based Essay as the Result for a Web Search

Major search engines have one main type of result – a list of links to matching Web sources. There are many enhancements on top of it, but the core premise remains the same:  a search result consists of a set of individual pages. The user is expected to drill down into individual sources. An alternative type of result is suggested: an essay compiled of a number of relevant and ordered sentences. The search engine in this case parses Web sources, understands their semantics, and creates an overall summary of the topic. The idea is to save the user time by providing a quick overview of the topic. A Web sentiment analysis application based on semantic analysis is introduced.

05.10.10 |
Blazej Bulka
Automated Planning as a Semantic Technology

This article describes the world of automated planning from the perspective of semantic technologies. It starts with background information on automated planning, where it can be applied, and its benefits. It also addresses some of the shortcomings of both planning and semantic technologies, and how both worlds can benefit from the experiences of the other. I also present challenges in integration of the two worlds, as well as an existing software planning system (HotPlanner) that is a result of such a successful integration.

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