Posts Tagged ‘linkeddata’

Semantic Web Challenge Winners Announced

TrophiesEarlier this week, we reported on the Semantic Web Challenge taking place at the 2012 ISWC Conference in Boston. The winners of the challenge have now been announced!

Taking First Place in the “Open Track” was EventMedia Live, presented by Houda Khrouf, Vuk Milicic and Raphaël Troncy. EventMedia has been a hub in the Linked Data cloud since September 2010, but EventMedia Live is a recent application leveraging the resource. The academic paper is available, as well as the web application itself.  For a quick introduction, check out this fun video the team produced (after the jump).

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SemWebRox Community Challenge: Results

#SemWebRox ResultsThanks everyone for participating in the #SemWebRox Community Challenge!

Looking at the results (which have been pasted at the end of this article for convenience), I’m struck once again by the diversity of points of view in the Semantic Web community on what the key value of its technology really is. Over at Semantic University we summarized what we believe to be the two dominant camps (summary: AI-centric and flexible data management-centric) in the Semantic Web world, and the results of this exercise illustrate clearly that there are many nuances within those camps.

I’ll go into some highlights, but I think the why is still missing in many cases.  It’s the classic features-not-value predicament that plagues technologists and frustrates technology marketers.  We’re doing better, but we can and must do better still.

Data Flexibility: Data Integration

In terms of data flexibility, there are a number of themes that kept popping up.  Aaron Bradley first called out “cheaper enterprise data integration, and Lee Feigenbaum concurred by stating, “The Semantic Web is the only scalable approach for integrating diverse data.”  Another one I liked about data integration was from Abir: “Semantic Web technologies can make it possible to have true bottom-up web-scale automatic information integration.”

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Exhibit 3.0 Part 1 – An Open Source Software Platform for Publishing Linked Data

This is Part I of a two-part series. Part II will be published later this month.

Individuals, communities and organizations increasingly require the ability to combine fragmented data sources into easily searched and navigated wholes.  From combining family playlists to merging scientific databases and spreadsheets, the need for integrating data and metadata from multiple sources into a single, Web-based publishing framework is increasing.  Allowing users to publish, explore and visualize data in useful ways is a powerful mechanism for identifying, organizing and sharing patterns inherent in this data.  Web data publishing demands easier data integration and customizable ways to interact with the data such as faceted browsing, spatial or temporal-based visualizations, tag clouds, and full-text search.

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Liberating Data, One Bridge at a Time

Hoover Dam Bypass Bridge Construction 3Approximately 1200 people attended the 2011 Semantic Technology Conference hosted in San Francisco, CA. At least a large portion – if not the majority – were first-time attendees. Products, technologies and methodologies advancing the Semantic Web (aka Web 3.0) crystallized the vision of the “web of meaning” more than ever. The focus of the community seemed rather sharp: Linked Data. As an individual who has been involved the Semantic Web since about 2001, it was rewarding and encouraging observing the steady progress in the space.

From a competency and expertise perspective, it validated my own company’s focus on developing Linked Data using (W3C) RDF. I liken Linked Data to building a foundation. Concentrating here is appropriate, and an increasing number of tools augment our collective ability and efficiency to create Linked Data. Within the Linked Data construct, the conference provided a large number of examples that highlighted approaches and architectures to design, build and deploy Linked Data.

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Five Steps to Linked Data Integration

Last week, we covered the story of how Chris Testa, Director of Engineering at Ad.ly, Inc. brought the Semantic Web to Hollywood. Today, in Part II, Chris shares his recommended 5-Step process for Linked Data Integration.

1. Understand what your “things” are

  • Look for the high value entities in your system — the ones bringing money and business intelligence over competitors (Examples: Advertisers, Brands, Celebrities)
  • Look for models that are growing quickly in your system (For us, it was Celebrities)
  • Look for things that are well annotated, popular things in culture & technology

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A Giant Whooshing Sound

Did you hear that sound this week? The giant whooshing sound? There was a great disturbance in the Force, as if thousands of Semantic Web academics, implementors and enthusiasts sighed in unison and their critics were silenced. I believe something wonderful has happened.

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Finding and Visualizing Relationships

RelFinder, a new Adobe Flex-based application, has been announced by a collection of researchers from the University of Stuttgart, the Carlos III University of Madrid and the University of Duisburg-Essen. Additional contributions have been made by individuals from the University of Leipzig and AKSW.

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Linked Data API introduced at London Meetup

Last week, the Second Linked Data Meetup London was held at the University of London Union. There were several compelling presentations discussed on Twitter  including the BBC’s use of Linked Data for their Wildlife Finder app. One of the many promising topics to emerge from the day was the introduction of a new Linked Data API. While there have been other Linked Data APIs (Pubby and irON), this API has the more narrow goal of lowering the bar for non-SemWeb developers to access these rich data collections. It is intended as a simple RESTful layer that returns JSON representations of RDF collections backed by a SPARQL endpoint. The API was primarily developed by Dave Reynolds, Jeni Tennison and Leigh Dodds. At the "How the Web of Data Will Be Won" talk by Jeni Tennison and John Sheridan, they emphasized that extending their successes on exposing government data in a linked fashion will require a focus on usability to attract new developers.

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