Sean Hogan of IBM recently wrote in Forbes, “Clinical trial recruitment is a data-intensive task that typically requires clinicians and researchers to manually cross reference patient data with criteria for thousands of available clinical trials. Now, Mayo Clinic and IBM have plans to tackle this data-driven challenge with IBM Watson to quickly and accurately match patients with appropriate clinical trials. Using natural language processing and powerful data analytics capabilities, Watson will help Mayo clinicians quickly sift through millions of pages of clinical trial and patient data and complete this cumbersome process in seconds. The new Watson solution will help ensure that all eligible patients are considered for clinical trials and could help accelerate medical research.” Read more
Greg Slabodkin of Health Data Management recently wrote, “At a minimum, there are three types of interoperability required to achieve an interoperable health IT ecosystem, according to Doug Fridsma, M.D., ONC’s outgoing chief science officer. Speaking this week at AHIMA’s 2014 conference in San Diego, Fridsma made the case that health IT requires all three types of interoperability–semantic, syntactic, and information exchange. ‘If you exchange the information and the codes don’t match or it’s a proprietary set of codes, you’ve got the information but you have no idea what those codes mean,’ he argued. ‘Semantic interoperability is about the vocabularies and syntactic interoperability is about the structure’.” Read more
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
Symplectic Takes Another Step In Helping Universities Engage In Research Collaboration And Discovery
This summer, Symplectic Limited become the first DuraSpace Registered Service Provider (RSP) for the VIVO Project, an open-source, open-ontology, open-process platform for hosting semantically structured information about the interests, activities and accomplishments of scientists and scholars. (See our coverage here.) “Universities want to capture all that their researchers do, collaborate and reuse the data the research brings out,” says Sabih Ali, head of brand at Symplectic. “A lot of them are looking to be a part of something like VIVO and join the whole semantic web technology movement, but they don’t have the capacity to do it themselves.”
Symplectic brings that to the table with its role as a services provider and the expertise in data quality, organization and transfer that it has thanks to being a developer of Elements, software that captures, collects and showcases institutional research, and which is used by many leading universities including Cambridge and Oxford. It also offers an open-source VIVO harvester for clients allows the ingestion of information into VIVO profiles using the rich data that Elements captures.
More recently, Symplectic has taken on the role of authorized services provider for Profiles Research Networking Software, as well. Profiles RNS is an NIH-funded open source tool to speed the process of finding researchers with specific areas of expertise for collaboration and professional networking. It’s based on the VIVO 1.4 ontology, with support for RDF, SPARQL, and Linked Open Data.
DATE: Wednesday, October 15, 2014
TIME: 2 PM Eastern / 11 AM Pacific
PRICE: Free to all attendees
About the Webinar
Semantic technology solves a concrete problem: sorting through large collections of unstructured data. With unstructured data expected to account for over 80 percent of all data within the next five years, the ability to target this data using semantic technology opens doors to better understand context and intent in search, and ultimately achieve greater visibility and relevant results. This presentation will showcase how semantic technologies can understand article content and select contextually relevant adverts to most effectively monetize content for advertisers and publishers.
- Discover how semantic technology helps thousands of advertisers reach their audience in a meaningful way, and helps hundreds of online publishers monetize their content.
- Learn how semantic technology reduces errors and time spent by marketers when defining their campaigns and yield better overall results.
- Understand some of the challenges that come with semantic technologies and how to address them ahead of time.
- Go behind the scenes with semantic and linguistic processing of web pages.
We hope you will join us on October 15, 2014 for this free webinar.
Register today to reserve your spot!
Research Information recently wrote, “There are several potential benefits to libraries of using cloud-based resources and services. These include increased efficiencies, opportunities for collaboration, decreased need for in-house technical expertise, cost savings, and more timely access to the latest IT functionality. The cloud also promises improved workflow, automated software updates, redundancy, and back-ups. ‘Libraries have a real need for efficiency in processing operations, notably combining maintenance of print and electronic content in a single set of workflows,’ said [Jane] Burke [VP of Market Development at ProQuest]. ‘The new model systems offer unified workflows for all types of content within a single solution. They also offer the platform to provide qualitative benefits, such as a centralised knowledgebase. A robust knowledgebase is critical to delivering unified collection management.’” Read more
Late this summer, adaptive experience company Compare Metrics (see our earlier coverage here) rebranded itself as Edgecase, carrying forward its original vision of creating inspiring online shopping experiences. Edgecase is working on white-label implementations with retail clients such as Crate & Barrel, Wasserstrom, Urban Decay, Golfsmith, Kate Somerville Cosmetics, and Rebecca Minkoff to build a better discovery experience for their customers, generating user-friendly taxonomies from the data they already have but haven’t been able to leverage to maximum shopper advantage.
“No one had thought about reinvigorating navigation or the search experience for 15 years,” says Garrett Eastham, cofounder and CEO. “The interactions driving these conversation today were driven by database engineers a decade ago, but now we are at the point in the evolution of ecommerce to make the web experience evolve to what it is like in the physical world.”
Jasmine Pennic of HIT Consultant reports, “Healthline, provider of intelligent health information and technology solutions, today launched its HealthData Engine to harness the power of structured and unstructured data to improve outcomes and reduce costs. The new big data analytics platform leverages the company’s market-leading HealthTaxonomy, advanced clinical natural language processing (NLP) technologies and semantic analysis to turn patient data into actionable insights.” Read more
David Hill Radcliffe of the OUPblog recently wrote, “The publication of the Oxford Dictionary of National Biography in September 2004 was a milestone in the history of scholarship, not least for crossing from print to digital publication. Prior to this moment a small army of biographers, myself among them, had worked almost entirely from paper sources, including the stately volumes of the first, Victorian ‘DNB’ and its 20th-century print supplement volumes. But the Oxford DNB of 2004 was conceived from the outset as a database and published online as web pages, not paper pages reproduced in facsimile. In doing away with the page image as a means of structuring digital information, the online ODNB made an important step which scholarly monographs and articles might do well to emulate.” Read more