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
Posts Tagged ‘unstructured data’
Mark van Rijmenam of Smart Data Collective recently wrote, “The past decades organisations have been working with relational databases to store their structured data. In the big data era however, these types of databases are not sufficient anymore. Although they made a huge difference in the database world and unlocked data for many applications, relational databases miss some important characteristics for the big data era. NoSQL databases are the answer that solves many of these problems. It is a completely new way of thinking about databases… Read more
Chico, CA (PRWEB) September 04, 2013 — Taking a diverse collection of data sources and utilizing its own intelligence search technology, the Chico, Calif. based SyTrue integrates and structures disparate notes to produce valuable information that can be used to identify patient types who require critical physician follow up or necessary care. Rendering this information for predictive and proactive purposes, SyTrue gives healthcare providers a comprehensive perspective of the patient population and has been attracting global attention with the announcement of their commercial partnerships. Read more
Semantic technology will have a starring role in the Internet of Things. Supporting interoperability between heterogeneous IoT entities, playing a part in driving much-needed application agility and adaptability through model-driven computing, and helping businesses cope with understanding and analyzing the influx of Big, and often unstructured, Data generated not just by humans but now by devices – all provide use cases for semantic tech.
And it’s becoming increasingly clear that semantic tech will be playing a role in what should be a very major motion picture. Just recently released is a new market research report entitled, Internet of Things Market & Machine-To-Machine Communication Market – Advanced Technologies, Future Cities & Adoption Trends, Roadmaps & Worldwide Forecasts (2012 – 2017). The report, published by Markets and Markets, notes that the IoT and M2M communications market will reach $290.0 Billion by 2017, at a CAGR of 30.1 percent.
TEMIS, the leading provider of semantic content enrichment solutions for the enterprise, and MarkLogic Corporation, provider of the only enterprise NoSQL database, have announced they are extending their partnership to deliver world-class content enrichment over unstructured Big Data. With new, enhanced integration capabilities, TEMIS’ Luxid® and MarkLogic® Server can now help organizations do more with their content. Read more
thē Corporation is excited to announce its latest partnership to represent Coginov and its products to the US market. Coginov is a Montreal, Canada based company that is privately held and specializes in semantic search-based products and technologies that solve big data issues for multiple industries including healthcare, utilities and call centers just to name a few.
“Coginov will be a unique addition to the umbrella of software and technology companies that thē Corporation represents. Structured data and data analytics is a problem that many companies have focused their efforts on but what is really exciting is the power of unstructured data categorization and analytics that Coginov brings,” stated Steve Bederman, CEO of thē Corporation. Read more
Waqar Hasan, who in a past life was vp for data platforms at Yahoo, hasn’t lost his fascination with the power a business can gain when it knows what to do with its data – make that its Big Data. Now CEO of InsightsOne, Hasan and his company are focused on making predictive analytics accessible to the general B2C marketing organization via the cloud.
Among its early customers is online review site Angie’s List, which in mid-January selected the cloud-based predictive analytics solution to deliver a 1-to-1 consumer marketing experience to its members.
“We’re targeting B2C marketers to increase the relevance and profitability of their consumer interactions, by applying micro-segmentation on Big Data to extract all sorts of signals from the data and turn it to a more powerful predictor for the future – who will buy what and who is likely to churn,” Hasan says.
Emil Eifrem, CEO of Neo Technology recently opined that graphs offer a new way of thinking. He explains, “Faced with the need to generate ever-greater insight and end-user value, some of the world’s most innovative companies — Google, Facebook, Twitter, Adobe and American Express among them — have turned to graph technologies to tackle the complexity at the heart of their data. To understand how graphs address data complexity, we need first to understand the nature of the complexity itself. In practical terms, data gets more complex as it gets bigger, more semi-structured, and more densely connected.” Read more
With MarkLogic Search Technology, Factiva Enables Standardized Search And Improved Experiences Across Dow Jones Digital Network,
Dow Jones & Company’s Factiva information service has long been distinguished by the semantic tools it applies to its content to surface relevant search information. Last week the company announced what it says is one of the most significant investments it’s made in the Factiva product suite, licensing new search technology from MarkLogic Corp.
The arrangement is positioned as providing standardized search technology across the Dow Jones digital network, including Factiva, WSJ.com and Dow Jones Financial Services products. To be specific, the investment in one underlying search technology that will be used by the company’s multiple businesses and products means that, “one powerful, unified search platform will service the search needs of our consumer and enterprise customers around the world,” says Georgene Huang, head of Factiva. “Any improvements or customizations we build atop this infrastructure will be scalable and efficiently accessible to all.” That will allow better and easier synergies between the development, products and the content, she says.
The new search technology, Huang says, complements its continuing investment in Factiva’s core metadata and taxonomy strengths in many ways.
In the same way that Columbus “discovered” a New World that was already there, more businesses may be about to discover the world of semantic web technology that’s been there all along.
Their expeditions in this direction, not surprisingly, are likely to have a Big Data hook. In a recent survey, New Vantage Partners queried the connection, asking respondents, “What data structures and standards are of particular interest in your Big Data initiatives?.” It listing among the choices flat-file, relational, graphs, and yes, Semantic Web technology.
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