Barry Levine of CMS Wire reports, “To help businesses find useful insights in growing amounts of big data, Massachusetts-based OneSource is reinventing search – and changing its name to Avention to reflect its new direction. Jonathan Flatow, Avention’s CEO, told us the new name implies ‘avenue of invention’ — something he believes suits the new search application. Designed for sales, marketing and business researchers, it uses natural language and semantic understanding to conceptually sift through mounds of data sources. Phil McWade, Avention’s Manager of Product Development, told CMSWire, ‘We’re giving our customers what they really want.’ Marketing and sales professionals don’t want ‘a list of news articles’ about companies: They want to identify companies they can sell to.” Read more
John McClure recently wrote for Mike 2.0, “Grover is a semantic annotation markup syntax based on the grammar of the English language. Grover is related to the Object Management Group’s Semantics of Business Vocabulary and Rules (SBVR), explained later. Grover syntax assigns roles to common parts of speech in the English language so that simple and structured English phrases are used to name and relate information on the semantic web. By having as clear a syntax as possible, the semantic web is more valuable and useful. An important open-source tool for semantic databases is SemanticMediaWiki that permits everyone to create a personal ‘wikipedia’ in which private topics are maintained for personal use. The Grover syntax is based on this semantic tool and the friendly wiki environment it delivers, though the approach below might also be amenable to other toolsets and environments.” Read more
Covance is looking for a Data Architect in Princeton, NJ, or Indianapolis, IN. According to the post, “Informatics at Covance is a high profile, high impact team that focuses on creating innovative data-driven solutions to improve the speed, cost and quality of drug development. As a market leader in central laboratory and pre-clinical services and top 5 provider of phase III clinical trial management services, Covance has assembled the most comprehensive investigator and clinical lab database in the pharmaceutical industry, spanning >11,000 protocols, >600 indications, >175,000 unique investigators, and >14 million patient visits over the past 10 years. The role of the informatics team is to lead breakthrough innovations that will unlock the power of this data to help pharmaceutical and biotechnology companies bring the miracles of medicine to the people in need faster and more efficiently.” Read more
Concept Searching Metadata Survey Results Indicate Search is Not an Information Governance Consideration
McLean, VA, US and Stevenage, UK (PRWEB) March 03, 2014– Concept Searching, the global leader in semantic metadata generation, auto-classification, and taxonomy management software, and developer of the Smart Content Framework™, has completed its annual SharePoint Metadata Survey and based on responses although search is important, it is not viewed as a key component in Information Governance.
The Concept Searching second annual survey was completed by close to 400 organizations using SharePoint and the objective was to determine how organizations are using metadata and/or the SharePoint Term Store to manage unstructured content. The survey questions sought to solicit feedback on how, or if, organizations were using metadata to drive applications such as search, records management, protection of privacy and confidential information, migration, and to a lesser extent applications such as text analytics, collaboration, and social content. The white paper containing the detailed results will be published in late March. Read more
Anthony Clark of Gainsville.com reports, “A Gainesville startup company received a $1.1 million federal grant to develop a Web portal for chemists to better share information over the next generation of the World Wide Web. Neil Ostlund, CEO of Chemical Semantics, said he learned of the grant from the Department of Energy on Friday. Chemical Semantics is developing a portal and software for computational chemists to publish and find data over the semantic web, also referred to as Web 3.0 or the web of data.”
Clark continues, “Chemical Semantics has created the semantic web vocabulary — or ontology — for computational chemistry called the Gainesville Core. Read more
Scott Brinker, whom we have covered many times in the past because of his insights into semantic technology and marketing, has written a new short book about modern marketing trends. The author presents “seven transformative meta-trends in modern marketing.” In the forward, he identifies these trends as “…wield[-ing] tremendous influence on the current evolution of marketing strategy and management.” The trends Brinker identifies are:
- From traditional to digital
- From media silos to converged media
- From outbound to inbound
- From communications to experiences
- From art and copy to code and data
- From rigid plans to agile iterations
- From agencies to in-house marketing
While he does not mention semantics explicitly in the book, knowing Scott as we do, we were curious about his thoughts on the subject. We caught up with him to ask, “So, how does this fit in with Semantic Web Technologies?”
Brinker responded, “Semantic web technologies are a great example of how technology is continuously changing what’s possible in marketing and business. But in the absence of ‘marketing technologists’ — these hybrid professionals who can translate technology capabilities to marketing opportunities, and vice versa — much of that potential remains untapped.”
“Structured and linked data can have such a tremendous impact on shaping customer experiences in a digital world. While not every marketer needs to understand the technical layer of how to make that happen, they need to have a sense of what’s possible — and they need to be able to work with more technical talent, as part of the modern marketing team, to make it happen.”
Brinker, who coined the term ”Chief Marketing Technologist,” is offering the 40-pager as a free download on his website.
What are your customers – or potential clients – saying or asking online, often in short texts and streaming posts, or in emails about your products, services, or their own particular interests or desires? If you can understand their actionable intents in realtime, then you have a good shot at responding swiftly and appropriately to those expressed intents, requests, or queries. That could add up to new sales, new customers, and better marketing and product management.
Startup Cruxly, which is presenting at this week’s Sentiment Analysis Symposium in NYC, believes it’s taking the oft-touted concept of social media monitoring in a new direction with its platform that applies natural language processing techniques for intent detection in realtime. “The idea is to be actionable,” says CEO Aloke Guha. “If it’s not actionable, at most [monitoring] is a nice-to-have [capability].”
Facebook is looking for a Partner Engineer (Data Applications) in Menlo Park, CA. According to the post, “Partner Engineering is a highly technical team that works with our strategic partners to integrate Facebook Platform into their Web sites, applications, and devices. This role demands an in-depth understanding of complex issues related to semantics, data modeling, platform architecture, application development, and management. The ideal candidate will have 15+ years of professional data analysis and systems architecture experience, including both relational database and semantic modeling work.” Read more
Juan Carlos Perez of InfoWorld reports, “Microsoft will add new software, developer tools and capabilities to Office 365 in an attempt to make the cloud applications suite a ‘smarter’ product that is better at helping people interact at work. At its SharePoint Conference, which kicks off in Las Vegas on Monday, Microsoft will demonstrate a new machine learning application code-named Oslo designed to understand how employees work in Office 365 and with whom. Oslo will base its insights on a variety of signals gleaned from how people use Office 365′s components, like Exchange Online for email, OneDrive for Business for storage, Lync Online for IM and video conferencing, SharePoint Online for team collaboration and Yammer for enterprise social networking. Microsoft calls this information the Office Graph.” Read more
Will deep learning take us where we want to go? It’s one of the questions that Oxford University professor of Computational Linguistics Stephen Pulman will be delving into at this week’s Sentiment Analysis Symposium. There, he’ll be participating in a workshop session today on compositional sentiment analysis and giving a presentation tomorrow on bleeding-edge natural language processing.
“There is a lot of hype about deep learning, but it’s not a magic solution,” says Pulman. “I worry whenever there is hype about some technologies like this that it raises expectations to the point where people are bound to be disappointed.”
That’s not to imply, however, that important progress isn’t taking place when it comes to deep learning, which leverages machine learning methods based on learning representations with applications to everything from NLP to computer vision to speech recognition.