Barry Roche of the Irish Times recently wrote, “Taoiseach [the Irish term for ‘Prime Minister’] Enda Kenny will today launch a €5 million technology centre in Cork designed to create new business opportunities for Irish financial services and technology companies through addressing governance and compliance issues. The Governance, Risk and Compliance Technology Centre (GRCTC) is the latest addition to the network of 15 Technology centres in Ireland and will carry out R&D on semantic technologies which encode meanings separately from data and content files.” Read more
Posts Tagged ‘Semantic Technologies’
We recently highlighted French startup Sépage’s efforts to use semantic technologies to revolutionize travel websites. Tnooz has taken a more comprehensive look at what this company is hoping to achieve: “Milan Stankovic was frustrated that the semantic web was failing to break free from academia. Disparaging remarks from a Google director about the potential of the semantic web in the mainstream prompted him to take the plunge and found Sépage. The idea is to use semantic technology to take personalization, inspiration and recommendations to the next level. With a SaaS business model, using proprietary and patented technology, its core product GlobeAdvent came to market within 18 months of the business’ launch. Enhancements and new products are in the pipeline.” Read more
BOSTON, Mass. (PRWEB) September 23, 2014 — Cambridge Semantics, the leading provider of Smart Data solutions driven by Semantic Web technology, was named in the recent ‘Hype Cycle for Life Sciences 2014 ’ report by Gartner, Inc. The report details key insights pertaining to the benefits in the knowledge graphing category.
According to Gartner analysts Michael Shanler and Stephen Davies, “The use of these systems can help accelerate innovation activities, expose complex relationships with scientific stakeholders, and support collaboration and innovation strategies as they relate to drug discovery, translational medicine, competitive intelligence, and clinical research.” Read more
Chloe Green of Information Age recently wrote, “Handling immense data sets requires a combination of scientific and technological skills to determine how data is stored, searched and accessed. In science, the importance of data scientists in ensuring that data is handled correctly from the outset is not underestimated; other industries can learn from the scientific approach. Text-mining tools and the use of relevant taxonomies are essential. If we think about big data as a huge number of data points in some multi-dimensional space, the problem is one of analysis, i.e. frequently finding very similar or very dissimilar points which cannot be compared. In life sciences, taxonomies assign data points a class, thus comparison of two points is as easy as looking up other data points in the same class.” Read more
The Daily Fusion reports, “Semantic Middleware Architecture (SMArc) is the result of a research conducted by the Department of Engineering and Telematics Architectures of Centro de Investigación en Tecnologías del Software y Sistemas Multimedia (CITSEM) of the Technical University of Madrid (Universidad Politécnica de Madrid, UPM). SMArc aims to optimize data transmission for smart grid users thanks to an effective mechanism for data exchange. This way, users can be simultaneously consumers and energy producers.” Read more
Boston, MA (PRWEB) April 17, 2014 — Cambridge Semantics, the leading provider of Smart Data solutions, today announced the Anzo product suite has been named a finalist for two industry awards: the 2014 SIIA CODiE Software Award for Best Business Intelligence/Analytics Solution, and the Bio-IT World Best of Show Award.
Cambridge Semantics’ Anzo software is an open platform for building Smart Data solutions driven by semantic web technologies. It combines data from any source across the enterprise and the web – from Google News to Twitter to enterprise systems to Big Data systems – whether the information is located inside databases, spreadsheets, documents, and social media or as videos and images. This information is then presented graphically in dashboards and reports that link data together based on common ideas and relationships regardless of the source, providing easily recognizable meaning and context to make informed business decisions. Read more
Marketing and Communications, April 10, 2014 — The Texas A&M University Libraries is preparing to launch VIVO, a web-based community of research profiles to enhance faculty collaboration. By providing standard research profiles for all university faculty and graduate students, researchers can discover and contact individuals with similar interests whether they are across campus or at another VIVO institution. The data entry and standardization will continue through the summer with the VIVO debut planned for Open Access Week in October 2014. Read more
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
“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
NEXT PAGE >>