Posts Tagged ‘TopQuadrant’

RDF is Critical to a Successful Internet of Things

Depiction of RDF and the internet of ThingsDo you still remember a time when a utility company worker came to your house to check your electric meter? For many of us already, this is in the past. Smart meters send information directly to the utility company and as a result, it knows our up-to-the-minute power usage patterns. And, while we don’t yet talk to our ovens or refrigerators through the Internet, many people routinely control thermostats from their smart phones. The emerging Internet of Things is real and we interact with it on the daily basis.

The term Internet of Things refers to devices we wouldn’t traditionally expect to be smart or connected, such as a smoke detector or other home appliance. They are being made ‘smart’ by enabling them to send data to an application. From smart meters to sensors used to track goods in a supply chain, the one thing these devices have in common is that they send data – data that can then be used to create more value by doing things better, faster, cheaper, and more conveniently.

The physical infrastructure needed for these devices to work is largely in place or being put in place quickly. We get immediate first order benefits simply by installing new equipment. For example, having a smart meter provides cost savings because there is no need for a person to come to our houses. Similarly, the ability to change settings on a thermostat remotely can lower our heating costs. However, far vaster changes and benefits are projected or are already beginning to be delivered from inter-connecting the data sent by smart devices:

  • Health: Connecting vital measurements from wearable devices to the vast body of medical information will help to improve our health, fitness and, ultimately, save lives.
  • Communities: Connecting information from embedded devices and sensors will enable more efficient transportation. When a sprinkler system meter understands weather data, it will use water more efficiently. Once utilities start connecting and correlating data from smart meters, they might deliver electricity more efficiently and be more proactive in handling infrastructure problems.
  • Environment: Connecting readings from fields, forests, oceans, and cities about pollution levels, soil moisture, and resource extraction will allow for closer monitoring of problems.
  • Goods and services: Connecting data from sensors and readers installed throughout factories and supply chains will more precisely track materials and speed up and smooth out the manufacture and distribution of goods.

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TopQuadrant & Smartlogic Bridge the Divide Between Structured and Unstructured Data

TopQuadrant

RALEIGH, NC and SAN JOSE, CA – May 20, 2014 - TopQuadrant™, a leading semantic data integration company, and Smartlogic, a content intelligence company, today announced a partnership to integrate both parties’ capabilities for linking structured and unstructured data. This strategic alliance will include technology exchange, joint product development and sales collaboration to provide a semantically enabled solution that unifies diverse information across the enterprise.

 

Overcoming Challenges of Siloed Data (and Thinking)

 

“One of the ongoing challenges to realizing the insights in big data is that it sits in separate silos – data warehouses, content stores, information feeds and social media, and represents the everyday interaction of human minds,” said Jeremy Bentley, CEO, Smartlogic. “With TopQuadrant’s proven expertise in data virtualization and Smartlogic’s content intelligence, this alliance will deliver a unified view over all the information relevant to the enterprise, regardless of location or type.” Read more

Good-Bye 2013

Courtesy: Flickr/MadebyMark

Courtesy: Flickr/MadebyMark

As we prepare to greet the New Year, we take a look back at the year that was. Some of the leading voices in the semantic web/Linked Data/Web 3.0 and sentiment analytics space give us their thoughts on the highlights of 2013.

Read on:

 

Phil Archer, Data Activity Lead, W3C:

The completion and rapid adoption of the updated SPARQL specs, the use of Linked Data (LD) in life sciences, the adoption of LD by the European Commission, and governments in the UK, The Netherlands (NL) and more [stand out]. In other words, [we are seeing] the maturation and growing acknowledgement of the advantages of the technologies.

I contributed to a recent study into the use of Linked Data within governments. We spoke to various UK government departments as well as the UN FAO, the German National Library and more. The roadblocks and enablers section of the study (see here) is useful IMO.

Bottom line: Those organisations use LD because it suits them. It makes their own tasks easier, it allows them to fulfill their public tasks more effectively. They don’t do it to be cool, and they don’t do it to provide 5-Star Linked Data to others. They do it for hard headed and self-interested reasons.

Christine Connors, founder and information strategist, TriviumRLG:

What sticks out in my mind is the resource market: We’ve seen more “semantic technology” job postings, academic positions and M&A activity than I can remember in a long time. I think that this is a noteworthy trend if my assessment is accurate.

There’s also been a huge increase in the attentions of the librarian community, thanks to long-time work at the Library of Congress, from leading experts in that field and via schema.org.

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TopQuadrant Launches TopBraid Enterprise Vocabulary Net 4.3

TopQuadrant

RALEIGH, N.C.–(BUSINESS WIRE)– TopQuadrant™, a leading semantic data integration company, today announced the release of version 4.3 of TopBraid Enterprise Vocabulary Net (TopBraid EVN), a web-based solution that simplifies the development and management of interconnected vocabularies. With the latest release, TopBraid EVN can now be used to edit arbitrary RDFS/OWL ontologies and acts as a powerful platform for other semantic editing environments. Read more

A Look Into Learning SPARQL With Author Bob DuCharme

Cover of Learning SPARQL - Second Edition, by Bob DuCharmeThe second edition of Bob DuCharme’s Learning SPARQL debuted this summer. The Semantic Web Blog connected with DuCharme – who is director of digital media solutions at TopQuadrant, the author of other works including XML: The Annotated Specification, and also a welcome speaker both at the Semantic Technology & Business Conference and our Semantic Web Blog podcasts – to learn more about the latest version of the book.

Semantic Web Blog: In what I believe has been two years since the first edition was published, what have been the most significant changes in the ‘SPARQL space’ – or the semantic web world at large — that make this the right time for an expanded edition of Learning SPARQL?

DuCharme: The key thing is that SPARQL 1.1 is now an actual W3C Recommendation. It was great to see it so widely implemented so early in its development process, which justified the release of the book’s first edition so long before 1.1 was set in stone, but now that it’s a Recommendation we can release an edition of the book that is no longer describing a moving target. Not much in SPARQL has changed since the first edition – the VALUES keyword replaced BINDINGS, with some tweaks, and some property path syntax details changed – but it’s good to know that nothing in 1.1 can change now.

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TopQuadrant Selects Computas as its First Global Certified TopBraid Solutions Partner

RALEIGH, N.C.–(BUSINESS WIRE)–TopQuadrant™, a leading semantic data integration company, today announced Norwegian based IT consulting company Computas has been selected as its first Global Certified TopBraid Solutions Partner. As a result, Computas will sell and support TopQuadrant solutions products and services across the globe.

TopQuadrant’s TopBraid solutions enable customers to connect silos of data, metadata, systems and infrastructure to build flexible applications from linked data models. Computas is a leading solution provider for both the Norwegian government and the oil and gas industry including many of the foremost companies with significant operations on Norway’s Continental Shelf. Read more

Insights from the SemTechBiz Conference – UK

The Semantic Technology and Business Conference – UK took place in London last week at the Millennium Goucester Hotel, and a number of themes emerged from the two-day event. A few of the sessions are highlighted below, but first, let us turn to some of the attendees to share some of their favorite insights and takeaways:

Public Sector Semantics

Professor Nigel ShadboltThere was a lot of interest in the Public Sector work. One of the presentations that highlighted the Open Data movement was Nigel Shadbolt‘s Keynote presentation about the recently launched Open Data Institute. We have covered the ODI here, and Professor Shadbolt shared some exciting insights and perspectives on the Open Data economy. In his presentation, he referred to a report on which he collaborated that was published by Deloitte Analytics. This free white paper is available for download.

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Stardog RDF Database Bites Into Fat Part Of The Market

Clark & Parsia’s Stardog lightweight RDF database is moving into release candidate 1.0 mode just in time for next week’s upcoming Semantic Technology & Business Conference in San Francisco next week. The product’s been stable and useable for awhile now, but a 1.0 nomenclature still carries weight with a good number of IT buyers.

The focus for the product, says cofounder and managing principal Kendall Clark, is to be optimized for what he says is the fat part of the market – and that’s not the part that is dealing with a trillion RDF triples. “Most people and organizations don’t need to scale to trillions of anything,” though scaling up, and up, and up, is where most of Clark & Parsia’s competitors have focused their attention, he says. “We’ve seen a significant percentage of what people are doing with semantic technology and most applications are not at a billion triples today.” Take as an example Clark & Parsia’s customer, NASA, which built an expertise location system based on semantic technology that today is still not more than 20 million triples. “You might say that’s a little toy but not if you are at NASA and need defined experts, it is a real, valuable thing and we see this all the time,” he says.

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Ring In A New Year For the Semantic Web

 

Courtesy: Flickr/ Vince Viloria

 

Out with the old, in with the new. We’ve covered (here and here) the year past for the semantic web. So now let’s see what might be in store for the year ahead.

Also, don’t forget to listen to our podcast here for more insights into what 2012 may hold.

  • Interest in sentiment analysis exploded with the growth of the social Web, although its reputation suffered due to the prevalence of low-grade Twitter-sentiment toys, simplistic, wildly inaccurate systems that misled many into criticism of the concept where it was the cheap implementations they’d tried that were faulty.  In 2012, sentiment analysis will come into its own: Automated (and crowd-sourced!) mining of attitudes, opinions, emotions, and intent from social and enterprise sources, at the “feature” level, linked to real-world profiles and transactional data. — Seth Grimes, founder, Alta Plana Corp

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Semantic Tech in 2011: The Year’s Misses and Missteps

Courtesy: Flickr/ myaimistrue

We recently rounded up some thought leaders’ perspectives on the big semantic trends of 2011 – most (if not all) of them positive. Here’s some further perspective about where hopes and expectations fell a little short of reality:

  • The biggest lost possibility was not rethinking the whole RDF stack. Instead of actually reducing complexity, it seems the direction is hiding complexity. This makes its proposition unattractive for web developers. – Andraž Tori, Founder and Director, Zemanta

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