James Kobielus of Info World recently wrote, “Cognitive computing can’t achieve its potential without a strong semantic-processing substrate that executes across diverse content sources… Nova Spivack references IBM Watson in this regard. The cloud service’s DeepQA technology incorporates semantic approaches into its very core, balancing the use of strict and shallow semantics and leveraging many loosely formed ontologies to deliver precise answers to natural-language queries. In my recent big data predictions for 2014, I state that cognitive computing — much of which will move into the cloud — incorporates and extends the innovations pioneered by the semantic Web community.” Read more
Posts Tagged ‘Semantic Technologies’
“There is nothing more difficult to plan, more doubtful of success, nor more dangerous to manage than the creation of a new order of things…. Whenever his enemies have the ability to attack the innovator, they do so with the passion of partisans, while the others defend him sluggishly, so that the innovator and his party alike are vulnerable.”
–Niccolò Machiavelli, The Prince (1513)
The Semantic Web is not here yet.
Additionally, neither are flying cars, the cure for cancer, humans traveling to Mars or a bunch of other futuristic ideas that still have merit.
A problem with many of these articles is that they conflate the Vision of the Semantic Web with the practical technologies associated with the standards. While the Whole Enchilada has yet to emerge (and may never do so), the individual technologies are finding their way into ever more systems in a wide variety of industries. These are not all necessarily on the public Web, they are simply Webs of Data. There are plenty of examples of this happening and I won’t reiterate them here.
Instead, I want to highlight some other things that are going on in this discussion that are largely left out of these narrowly-focused, provocative articles.
First, the Semantic Web has a name attached to its vision and it has for quite some time. As such, it is easy to remember and it is easy to remember that it Hasn’t Gotten Here Yet. Every year or so, we have another round of articles that are more about cursing the darkness than lighting candles.
In that same timeframe, however, we’ve seen the ascent and burn out failure of Service-Oriented Architectures (SOA), Enterprise Service Buses (ESBs), various MVC frameworks, server side architectures, etc. Everyone likes to announce $20 million sales of an ESB to clients. No one generally reports on the $100 million write-downs on failed initiatives when they surface in annual reports a few years later. So we are left with a skewed perspective on the efficacy of these big “conventional” initiatives.
Luca Scagliarini of Expert System recently wrote, “Semantic technology is able to understand a text in a way that emulates human comprehension of information… More importantly, it also comprehends conversational language and all its ambiguities (slang, abbreviations, multi-language text) to arrive at an understanding of not just words, but the user’s intention. A good example of this at work can be seen in the recent analysis that the social research firm Sociometra conducted using over 30,000 comments made on social media of tourist destinations (museums, monuments, etc.) and general comments about the city of Rome, Italy. The analysis showcases the technology’s power for analyzing unstructured text and its strength in establishing connections between not just words, but more importantly, concepts.” Read more
ANDOVER, MA–(Marketwired – Nov 18, 2013) - Veveo, a leading provider of semantic technologies to bridge the usability gap in connected devices and applications with intelligent search, discovery and personalization solutions, announced today it has been awarded a seminal patent by the United States Patent and Trademark Office (USPTO) in the area of speech-based interfaces for devices that allow natural conversations similar to the way people speak with each other. Read more
fluidOps and Stemmer Leverage Semantic Technologies to Tackle the Problem of Disparate Data Management in IT
Walldorf/Baden, Germany (PRWEB) October 31, 2013 — fluid Operations, leading provider of cloud and data management solutions based on semantic technologies, and Stemmer, a leading provider of IT infrastructure and professional services in Germany, are collaborating in the area of IT transformation and innovation with the goal of offering their customers solutions to the problem of disparate data management in IT, and enabling companies to integrate and take full advantage of cloud services. Read more
Anand Rai of Tech Circle reports, “Bangalore-based InterpretOmics India Pvt Ltd, a Big Data startup focused on bioinformatics, has raised Rs 10 crore ($1.6 million) in angel funding from Amarante, a Singapore-based shipping company, and two unnamed Indian investors. The funds will be used for product development, research and marketing. The company was founded in 2009 by Prahalad H. Achutharao (CEO) and Asoke Talukder (chief scientific officer). Achutharao had earlier worked at Infosys, Verari Systems and other companies. He holds an MS degree in Computer Science from the University of Alabama at Birmingham (US) and a BE degree in Electrical Engineering from Karnataka University. Prior to InterpretOmics, Talukder also worked with several companies such as Sobha Renaissance, Tyfone Communications Development India, Cellnext Solutions, Bluestar Infotech and Mindware.” Read more
[Editor's Note: This guest post is from Antonia Bradford, who attended "ICT Days" in Trento Italy, and offered this report.]
Trento, Italy, hosted a technology conference ‘ICT Days 2013’ between 20th and 23rd March. Like all such events it was interesting, dynamic and informative, but it was also quite different from the normal conferences.
It broadcast a very loud message that Semantic Technology, Big Data, and the interconnectivity of things will – without any doubt – affect everything and everyone; that these technologies will change the way everyone interacts with public services, the way in which dwindling natural resources are distributed and managed, the way citizens interact with each other, the way in which public and private bodies cooperate to support the needs of the citizen and the way in which public bodies are monitored and held accountable to the people that elected them.
Earlier this month Gartner named semantic technologies to its top ten trends list (see our story here). Recently, we caught up with Gartner vp and distinguished analyst Debra Logan, the lead author on the semantic technologies section of the Top 10 Technology Trends Impacting Information Infrastructure, 2013, to learn more about sem tech’s earning a place on the list.
One interesting point Logan made is that the top ten trends list actually is a reflection of inquiries Gartner sees from its end-user clients. So, semantic technologies’ spot on the list would seem to indicate a bubbling-up of real-world, enterprise interest. As Logan sees it, it’s very much about information overload, about minimizing the risk and maximizing the value of the data on their hands, and about the availability now from providers like Amazon and Google of infrastructures for analyzing Big Data sets.
“If we could get the same meaning from data, we might actually know what is going on, because we sure don’t now,” says Logan, of the quandary facing enterprise IT leaders. “They are struggling with definition issues and reconciliation because of the proliferation of different IT systems.”
Gartner Names Semantic Technologies To Its Top Technology Trends Impacting Information Infrastructure in 2013
Semantic technologies have made it to Gartner’s list of the top technology trends that will impact information infrastructure this year.
The research firm yesterday released the list of nine trends that it says will play key roles in modernizing information management and in making the role of information governance increasingly important. Semantic technologies come in at No.3 on the list – right behind closely-tied-to trends Big Data and modern information infrastructure.
“If you don’t understand what your software engineers are talking about, perhaps it’s because they are using a vocabulary they invented for the problem they are solving.” This begins a white paper called, “The Business Value of Semantic Technology” by Chris Moran, CTO, Information Management Solutions Consultants, Inc.
Moran continues, “Engineers invent a vocabulary and data structure for each system they build and each problem they solve, and only the engineers who built the system understand this structure and vocabulary. Even other engineers must learn it in order to make the data usable. In most enterprises today, we have as many different ways to ask questions of our data as we have systems to store it. We have as many different vocabularies and data structures as we have systems. The problem is actually worse than it sounds….”
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