Eric Franzon

LODLAM Training Day at Semantic Technology & Business Conference

LODLAM: LinkedOpen Data in Libraries, Archives, and MuseumsAmong the many exciting activities at the 10th Annual Semantic Technology & Business Conference (#SemTechBiz) is the partnership with the Linked Open Data in Libraries Archives, and Museums (LODLAM) Community. On Tuesday, August 19, 2014, LODLAM will hold a full day of trainings at the SemTechBiz Conference in San Jose, California.  Registration information is available here.

We spoke to Jon Voss, Co-Founder of the International LODLAM Summit, about the Training Day:

SemanticWeb.com: What is the LODLAM Training Day?

Photo of Jon VossJon Voss: The LODLAM Training Day is an all-day, hands-on workshop led by practitioners of Linked Open Data in libraries, archives and museums from around the world.

SW: What can people expect to learn?

JV: We’ve broken the day down into two sections, basically: publishing data and reusing data.  The first part of the day we’ll look at ways that libraries, archives and museums are putting massive amounts of structured data online for the public good, and what techniques and tools you can use to do it.  The second part of the day we’ll be looking at using this data in different ways, how to use SPARQL queries, how to build data into other mashups, how to use open datasets to improve your own data, etc.
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July 22 Webinar: Understanding the New World of Cognitive Computing

Register for a chance to win a free pass to the inaugural Cognitive Computing Forum, August 20-21, 2014.DATE: July 22, 2014
TIME: 2 PM Eastern / 11 AM Pacific
PRICE: Free to all attendees

 

About the Webinar

Cognitive Computing is a rapidly developing technology that has reached practical application and implementation. So what is it? Do you need it? How can it benefit your business?

Register Now!In this webinar, co-produced by our sister publication, DATAVERSITY(TM), a panel of experts in Cognitive Computing will discuss the technology, the current practical applications, and where this technology is going. The discussion will start with a review of a recent survey produced by DATAVERSITY on how Cognitive Computing is currently understood by your peers. The panel will also review many components of the technology including:

  • Cognitive Analytics
  • Machine Learning
  • Deep Learning
  • Reasoning
  • And next generation artificial intelligence (AI)

And get involved in the discussion with your own questions to present to the panel.

All webinar registrants will be sent a copy of the soon to be published Research Paper on Cognitive Computing produced by DATAVERSITY and co-authored by Moderator Steve Ardire. Included in the paper is as a coupon code to receive a $200 discount on the first annual Cognitive Computing Forum to be held in San Jose, California August 20 – 21st. All registrants will be entered into a drawing for a chance to win a Free Pass to the Cognitive Computing Forum.

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Add schema.org Actions to Your Own Knowledge Graph (Video — Part 3)

[Editor's note: this is Part 3 of a series. See Part 1 and Part 2]

schema dot org logoIn Part 3 of this series, Jarek Wilkiewicz details activating the small Knowledge Graph (built on Cayley) with Schema.org Actions. He begins by explaining how Actions can be thought of as a combination of “Entities” (things) and “Affordances” (uses). As he defines it, “An affordance is a quality of an object, or an environment, which allows an individual to perform an action.”

For example, an action, might be using the “ok Google” voice command on a mobile device. The even more specific example that Wilkiewicz gives in the video (spoiler alert) is that of using the schema.org concept of potentialAction to trigger the playing of a specific artist’s music in a small music store’s mobile app.

To learn more, and to meet Jarek Wilkiewicz and his Google colleague, Shawn Simister, in person, register for the Semantic Technology & Business Conference where they will present “When 2 Billion Freebase Facts is Not Enough.”

How to Build Your Own Knowledge Graph (Video – Part 1)

Photo of Jarek WilkiewiczStraight out of Google I/O this week, came some interesting announcements related to Semantic Web technologies and Linked Data. Included in the mix was a cool instructional video series about how to “Build a Small Knowledge Graph.” Part 1 was presented by Jarek Wilkiewicz, Knowledge Developer Advocate at Google (and SemTechBiz speaker).

Wilkiewicz fits a lot into the seven-and-a-half minute piece, in which he presents a (sadly) hypothetical example of an online music store that he creates with his Google colleague Shawn Simister. During the example, he demonstrates the power and ease of leveraging multiple technologies, including the schema.org vocabulary (particularly the recently announced ‘Actions‘), the JSON-LD syntax for expressing the machine readable data, and the newly launched Cayley, an open source graph database (more on this in the next post in this series).

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Cambridge Semantics Launches ‘Anzo Smart Data Integration’

Anzo Smart Data Integration (ASDI)

Extract,  Transform, and Load (ETL) and the business problem ETL solves — Data Integration — are complex to say the least. As the team at Cambridge Semantics points out:

Data integration and data on-boarding are time-consuming, manual, costly & error-prone processes.

  • Complex integrations require developing a large number of point-to-point source-target mappings.
  • Each mapping must be jointly developed by experts in all involved systems before being handed off to a team of ETL developers.
  • Each hand-off increases both the time it takes to complete the integration and also the risk of errors as requirements are misunderstood or not fully validated.
  • The lineage and meaning of data are often lost in the process, limiting the trustworthiness and utility of the data.

 

Cambridge Semantics today announced the launch of its Anzo Smart Data Integration (ASDI) software to help enterprises rapidly understand and integrate information assets. Described as a “design time tool for business analysts,” ASDI is “designed to reduce integration time frames and costs by 10X and enhance time-to-revenue when on-boarding new customers, partners and data,” according to the official announcement.

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DATAVERSITY and SemanticWeb.com Launch Cognitive Computing Forum

Cognitive COmputig Forum logoDATAVERSITY™ and SemanticWeb.com have announced the first Cognitive Computing Forum in San Jose, California, on August 20-21, 2014. This two-day conference was developed to help attendees understand the new world of Cognitive Analytics, Machine Learning, Deep Learning, Reasoning and next generation Artificial Intelligence. Visit www.cognitivecomputingforum.com to view speakers, the agenda, registration options, and to learn more about this unique event.

Cognitive systems are the next stage in the evolution of smarter computing and are often described as emulating the human brain. Built upon recent advances in technologies such as natural language processing, machine learning, sensors, and neural networks, and combined with massive computational power, cognitive computing promises to bring staggering improvements to applications. Among the biggest improvements are expected in predictive analytics, robot intelligence, computer-based reasoning, and human annotation. New technologies and companies are on the horizon, and these top technologies will be represented and available to attendees throughout the event.

DATAVERSITY has enlisted a world-class group of speakers to lead the in-depth presentations at the conference. Tom Mitchell, Professor of AI and Learning at Carnegie Mellon University; Chris Welty, Research Scientist at IBM T.J. Watson Research Center; Ted Dunning, Chief Application Architect at MapR, and Google Fellow R.V. Guhaare among the industry experts on the schedule.

Discover the potential of Cognitive Computing for your organization and register your staff for this event. Register two staff members from the same organization and the third is free. See details at www.cognitivecomputingforum.com on this and other discounts available now.

The inaugural Cognitive Computing Forum will be co-located with the 10th Annual Semantic Technology & Business Conference and the fourth annual NoSQL Now! conference.

If you are a member of the press and would like to attend, please request a Press Pass by contacting Samantha Taylor at sam@dataversity.net.

 

 

Read the full press release here.

Schema.org Introduces Concept of Role

Image of soccer team depicting question: What is this player's role?In a post yesterday at the official schema.org blog, Vicki Tardif Holland (Google) and Jason Johnson (Microsoft) have announced that schema.org has created a way to more richly describe relationships between entities in structured markup. The addition of the “Role” schema allows for the description of more complex relationships than were previously possible. In the post, the authors cite the business need as one that is often found in the domains of entertainment and sports.

For example, in schema.org, it can be asserted that Bill Murray was an actor in the film Ghostbusters [Fig. 1].

visualization of the basic relationship between Bill Murray as an actor Ghostbusters.

Figure 1

That’s all well and good, but how can one extend this relationship to include more detail such as the name of the character Mr. Murray played in the film? More on that in a moment.

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New schema.org Technical Brief Available from LRMI and Cetis

Image of Technical Brief by LRMI about schema.org.The Learning Resource Metadata Initiative (LRMI) has released a technical briefing about schema.org. The paper was co-authored by Phil Barker and Lorna M. Campbell of Cetis, the Centre for Educational Technology, Interoperability and Standards.

LRMI, which we have reported on here, “has developed a common metadata framework for describing or ‘tagging’ learning resources on the web.”

The Cetis website says, “This briefing describes schema.org for a technical audience. It is aimed at people who may want to implement schema.org markup in websites or other tools they build but who wish to know more about the technical approach behind schema.org and how to implement it. We also hope that this briefing will be useful to those who are evaluating whether to implement schema.org to meet the requirements of their own organization.”

In making the announcement in a W3C list, Barker explained, “We often find that when explaining the technology approach of LRMI we are mostly talking about schema.org, so this briefing, which describes the schema.org specification for a technical audience should be of interest to anyone thinking about implementing or using LRMI in a website or other tool. It should also be of interest to people who plan to use schema.org for describing other types of resources.”

The technical brief can be downloaded from:

http://publications.cetis.ac.uk/2014/960

WEBINAR: Using Semantic Technology to Drive Agile Analytics

Webinar Title: Using Semantic Technology to Drive Agile AnalyticsIn case you missed the outstanding webinar, “Using Semantic Technology to Drive Agile Analytics” delivered earlier this week by David Read and Scott Van Buren of Blue Slate Solutions, the recording and slides are now available (and posted below). The webinar was co-produced by SemanticWeb.com and DATAVERSITY.net and runs for one hour, including a Q&A session with the audience that attended the live broadcast.

The presenters will also deliver a half-day tutorial at the upcoming Semantic Technology & Business Conference: “Integrating Data Using Semantic Technology.” Registration for the conference is now open.

If you watch, please use the comments section below to leave your questions, comments, and ideas for webinars you would like to see in the future.

About the Webinar

How do you accelerate data warehousing to meet the demands of the data-driven economy? Semantic technology provides an agile platform to bring data together, focus on data that matters and ultimately derive a target data model that can be easily extended. This webinar will present a semantically-based data federation case study and highlight the semantic components that facilitate agile data federation in the enterprise.

(Presentation Video and Slides after the jump…)
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End of Support for the Sindice.com search engine: history, lessons learned, and legacy (Guest Post)

[Editor's Note: Since 2007, Sindice.com has served as a specialized search engine allowing Semantic Web practitioners and researchers to locate structured data on the Web. At the peak of its activity, Sindice.com had an index of over 700M pages and processed 20M pages per day. In a post last week, the founding team announced the end of support for Sindice.com to concentrate on delivering the technology developed for the engine to enterprise users. This week, SemanticWeb.com is proud to host a guest post by the founding team explaining the history, the challanges and the future of this technology.]

Photo of the Sindice Team, 2012

Photo of the Sindice Team, 2012

The word “Sindice” has been around for quite some time in research and practice on the “Semantic Web” or “lets see how we can turn the web into a database”.

Since 2007, Sindice.com has served as a specialized search engine that would do a crazy thing: throw away the text and just concentrate on the “markup” of the web pages. Sindice would provide an advanced API to query RDF, RDFa, Microformats and Microdata found on web sites, together with a number of other services. Sindice turned useful, we guess, as approximately 1100 scientific works in the last few years refer to it in a way or another.

Last week, we the founding team announced the end of our support of the original Sindice.com semantic search engine to concentrate on the technology that came from it.

With the launch in 2012 of Schema.org, Google and others have effectively embraced the vision of the “Semantic Web.” With the RDFa standard, and now even more with JSON-LD, richer markup is becoming more and more popular on websites. While there might not be public web data “search APIs”, large collections of crawled data (pages and RDF) exist today which are made available on cloud computing platforms for easy analysis with your favorite big data paradigm.

Even more interestingly, the technology of Sindice.com has been made available in several projects maintained either as open source (see below) or commercially supported by the Sindice.com team now transitioned in the Sindice LTD company, AKA SindiceTech.

It has been quite a journey for us, and given there is no single summary anywhere we thought we’d take this occasion to write and share it.

This is both for “historical” reasons and as a way to glimpse at future directions of this field and these technologies.

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