Industry Verticals

A Semantic Data Ecosystem in the Oil and Gas Sector in Norway

image of Norwegian oil rig in fog.Like the oil and gas itself, data from oil and gas operations associated with the Norwegian Continental Shelf (NCS) is also flowing. Through a number of semantically enabled hubs, it is getting integrated, refined, and distributed to different parties. EPIM, the Exploration & Production Information Management Association, is implementing its vision of a shared suite of knowledge based-applications for the Norwegian Oil & Gas industry built using semantic web standards and the domain concepts from ISO 15926 [Wikipedia].

In this brief article, we give an overview of the three applications EPIM currently in deployment (shown in the graphic below).

ISO 15926

In building and deploying these applications, some key features and insights applicable to other applications that involve data integration across diverse systems emerge:

  • A semantic ecosystem needs to accommodate flexible co-existence with other technologies, notably XML and JSON. All applications in EPIM’s vision of integration involve interoperability with these and other technologies;
  • ISO 15926 has been effective for supporting EPIM’s reporting needs, but can present a challenge, in terms of its complexity, for efficiently harnessing it within evolvable, model-driven solutions. The successful work with these models demonstrates that semantic web standards are sufficiently mature, rich and powerful to handle very complex models;
  • Model-driven approaches using semantic technologies, especially SPARQL and technologies that build on it, are highly effective for extensible applications. Development and deployment responsiveness to changing requirements proved to be very rapid.

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Semantically Aligned Design Principles At Core of Australian Electronic Health Records Platform

site-header-10th-blog-304x200At the upcoming Semantic Technology & Business Conference in San Jose, Dr. Terry Roach, principal of  CAPSICUM Business Architects, and Dr. Dean Allemang, principal consultant at Working Ontologist, will host a session on A Semantic Model for an Electronic Health Record (EHR). It will focus on Australia’s electronic-Health-As-A-Service  (eHaas) national platform for personal electronic health records, provided by the CAPSICUM semantic framework for strategically aligned business architectures.

Roach and Allemang participated in an email interview with The Semantic Web Blog to preview the topic:

The Semantic Web Blog: Can you put the work you are doing on the semantic EHR model in context: How does what Australia is doing with its semantic framework compare with how other countries are approaching EHRs and healthcare information exchange?

Roach and Allemang: The eHaaS project that we have been working on has been an initiative of Telstra, a large, traditional telecommunications provider in Australia. Its Telstra Health division, which is focused on health-related software investments, for the past two years has embarked on a set of strategic investments in the electronic health space. Since early 2013 it has acquired and/or established strategic partnerships with a number of local and international healthcare software providers ranging from hospital information systems [to] mobile health applications [to] remote patient monitoring systems to personal health records [to] integration platforms and health analytics suites.

At the core of these investments is a strategy to develop a platform that captures and maintains diverse health-related interactions in a consolidated lifetime health record for individuals. The eHaaS platform facilitates interoperability and integration of several health service components over a common secure authentication service, data model, infrastructure, and platform. Starting from a base of stand-alone, vertical applications that manage fragmented information across the health spectrum, the eHaaS platform will establish an integrated, continuously improving, shared healthcare data platform that will aggregate information from a number of vertical applications, as well as an external gateway for standards-based eHealth messages, to present a unified picture of an individual’s health care profile and history.

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How GS1 is Shaping eCommerce in the Semantic Web

gs1Andrew Osborne, CTO of GS1 UK recently shared an overview of how the non-profit is leveraging the Semantic Web to improve customer experiences. He writes, “For those of you unfamiliar with what GS1 actually does, we are a not-for-profit standards development organisation. Put simply, our role is to define data structures and how these are used to identify things, a role we have been performing since the 1970s. We provide a series of ‘keys’ for industry which identify various types of entity (products, locations, assets and so on) and which have highly developed allocation rules. We have also defined product attributes for bar coding (the application identifier standards), have over 1,000 product attributes defined for synchronisation in the Global Data Synchronisation Network and an extensive Global Product Classification that is used to categorise products. For visibility systems we have a standard ‘Core Business Vocabulary.’ “ Read more

USAA Turns to IBM’s Watson for Online Customer Assistance

WatsonSuzanne Kattau of Silicon Angle reports, “IBM and the United Services Automobile Association (USAA), a financial services provider for the military community, today announced they have teamed up to offer IBM’s Watson Engagement Advisor in a pilot program to assist USAA members. USAA provides insurance, banking, investments, retirement products and advice to 10.4 million current and former members of the U.S. military and their families. Named after IBM founder Thomas J. Watson, IBM Watson uses natural language processing and analytics, and can process information similar to the way people think. This helps organizations to quickly analyze, understand and respond to vast amounts of Big Data. IBM’s Watson Engagement Advisor analyzed USAA’s business data and now understands more than 3,000 documents on topics exclusive to military transitions.” Read more

Digital Reasoning Takes On Early Risk Detection For Compliance- And Security-Sensitive Sectors

synthimageDigital Reasoning’s Synthesys machine learning platform (which The Semantic Web Blog initially covered here) this summer should see its Version 3.9 release. The update will build on the 3.8 release, which delivered with its Glance user interface the discovery and investigative capabilities that help information analysts in finance, intelligence and other compliance- and security-sensitive sectors react to findings in user profiles of interest and their associated relationships, activities and risks. Version 3.9 takes on the proactive part of the equation — early risk detection — via its Scout user interface.

Last year, the company honed in on compliance use cases ranging from insider trading to money laundering with Version 3.7 of Synthesys (covered here). There, the technology for discovering the meaning in unstructured data at scale, highlighting important entities in context, was applied to email communications for organizations such as financial institutions that have to be on the lookout for conversations that cross compliance boundaries.

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sovrn and Temnos to Deliver Smarter Online Ads

sovrnlogoBOULDER, Colo. & SAN FRANCISCO–(BUSINESS WIRE)–sovrn Holdings, Inc., advocate of and partner to almost 20,000 publishers across the independent web, today announced it is partnering with Temnos, a leading content analytics company, to analyze, filter and organize millions of pages of content across sovrn’s network. Using the Temnos Content Intelligence Platform, sovrn will be able to deliver highly targeted content and more relevant online ads, giving publishers more opportunities to monetize their content and marketers the ability to maximize reach, performance and brand awareness. Read more

Social Robot Jibo Has Enough Charm to Raise Nearly $600K

jibo

Kris Holt of Tech News World reports, “A crowdfunding campaign for Jibo, a little robot designed to become one of the family, kicked off Wednesday on Indiegogo, and with 29 days remaining, it already has raised more than US$577,000 — nearly six times its $100,000 target. The voice-controlled robot with a friendly face is a do-it-all personal assistant. Communicating with users in a human voice, it can learn individual preferences, relay messages and reminders, and function as a video conferencing device, for starters. It can take pictures, provide information from the Web or apps, order food and display e-books.” Read more

Inaugural Search and Social Commerce Index from Kenshoo and DataPop Finds Only 1.7% of Retail Products Posted on Social Commerce Properties

kenshoo

SAN FRANCISCO, July 21, 2014 /PRNewswire/ — Kenshoo, the global leader in predictive media optimization technology, and DataPop, the leading semantic advertising company focused on helping retailers better merchandise their products, today unveiled their inaugural Search and Social Commerce Index. Based on analysis of more than 40 retailers and their accompanying 3 million published products, the inaugural release of this quarterly index identifies significant opportunities for retailers to better capitalize on consumers’ growing propensity for social product discovery and align their search and social commerce initiatives for greater cross-channel success. Read more

Leiki and Outbrain Partner to Bring Global Consumers More Engaging Online Content

leiki

HELSINKI, Finland, July 17, 2014 /PRNewswire/ — Leiki, Ltd, a leading provider of content discovery solutions for publishers and advertisers announce today that it has agreed with Outbrain, Inc, to enhance the relevancy of their related and sponsored content delivery. As a result of this cooperation, consumers will see content recommendations that are more directly relevant to the articles they are reading and publishers and sponsors will enjoy higher consumer engagement.

 

Outbrain will use the Leiki Focus semantic engine to analyze web pages using the Leiki-proprietary 130,000 contextually definitive topics. The resulting weighted profile consists of the 50-200 most relevant topics and provides a highly accurate and detailed “context fingerprint”. Outbrain will use this as part of their core delivery system to find matching articles from within the publisher’s domain as well as among the Outbrain sponsored content network. Read more

AlphaSense’s Advanced Linguistics Search Engine Could Buy Back Time For Financial Analysts To Do More In-Depth Research

alpha1When Raj Neervannan, CTO and co-founder of financial search engine company AlphaSense, thinks about search, he thinks about it “as a killer app that is only growing…..People want answers, not noise. They want to ask more intelligent questions and get to the next level of computer-aided intelligence.”

For AlphaSense’s customers – analysts at large investment firms and banks or any other industry, as well as one-person shops – that means search needs to get them out of ferreting through piles of research docs for the nuggets of information they really need. Neervannan knows the pain of trying to interpret a CEO’s commentary to understand what he or she was really saying when making the point that numbers were going down when referring to inventory turns. (Jack Kokko, former analyst at Morgan Stanley, is AlphaSense’s other co-founder.)

“You are essentially digging through sets of documents [using keyword search], finding locations of terms, pulling them in piece by piece and constructing a case as to what the company’s inventory turn was really like – what other companies’ similar information was, how that matches up. You have to do quantitative analysis and benchmarks, and it can take weeks,” he says.

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