Posts Tagged ‘data integration’

Ontology Launches Partner Programme to Recruit Data Integration Specialists

ontologyLondon, 30 Oct 2013 — Ontology Systems, the semantic search company for enterprise application data, today announces the launch of its partner programme, aimed at recruiting data integration specialists across the globe. Ontology, which provides technology that replaces traditional lengthy integration projects by making enterprise data 100% consumable and accessible, offers lower risk, cost and improved innovation to organisations. It is looking to expand from its heritage in the telecommunications sector by recruiting partners that can help sectors make better use of their data. Read more

Linked Data: “The Gift That Keeps On Giving”

semtechnyclogoK. Krasnow Waterman started the New York Semantic Technology & Business Conference off on the right foot Wednesday, highlighting the highly practical virtues of the semantic web and Linked Data for all.

Krasnow Waterman pointed to four big benefits of a semantic web world, including easing the path to:

  • Analyzing data from multiple sources;
  • Understanding context, from the meaning of a particular term to the context of relationships;
  • Linking data; and
  • Applying rules in which there’s no limit about what can be said or linked to within program code that can be reasoned over as data flows through systems.

In her life as CEO of LawTechIntersect, which offers data/technology management and policy consulting, she noted that she’s now “talking to people about forestalling their platform upgrades, to go back instead and embed the tagging needed for semantic processing,” she told attendees at SemTech. “It’s the gift that keeps on giving. Do it and you can compute forevermore with that data.”

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Hooray For Semantic Tech In The Film Industry

Image courtesy popturfdotcom/Flickr

Image courtesy popturfdotcom/Flickr

The story below features an interview with Kurt Cagle, Information Architect Avalon Consulting, LLC, who is speaking this week at the Semantic Technology And Business Conference in NYC. You can save $200 when you register for the event before October 2.

 

New York has a rich history in the film industry.  The city was the capital of film production from 1895 to 1910. In fact, a quick trip from Manhattan to Queens will take you to the former home of the Kaufman Astoria Studios, now the site of the American Museum of the Moving Image. Even after the industry moved shop to Hollywood, New York continued to hold its own, as evidenced by this Wikipedia list of films shot in the city.

 

semtechnyclogoThis week, at the Semantic Technology & Business Conference, a session entitled Semantics Goes Hollywood will offer a perspective on the technology’s applicability to the industry for both its East and West Coast practitioners (and anyone in between). For that matter, even people in industries of completely different stripes stand to gain value: As Kurt Cagle, Information Architect at Avalon Consulting, LLC, who works with many companies in the film space, explains, “A lot of what I see is not really a Hollywood-based problem at all – it’s a data integration problem.”

 

Here’s a spotlight on some of the points Cagle will discuss when he takes the stage:

 

  • Just like any enterprise, studios that have acquired other film companies face the challenge of ensuring that their systems can understand the information that’s stored in the systems of the companies they bought. Semantic technology can come to the fore here as it has for industries that might not have the same aura of glamour surrounding them. “Our data models may not be completely in sync but you can represent both and communicate both into a single composite data system, and a language like SPARQL can query against both sets to provide information without having to do a huge amount of re-engineering,” Cagle says.

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Data Integration is Key for Improving Customer Experience

One of the more prominent application areas for semantic technology, particularly in the ever-evolving world of Big Data, is data integration. Randy Heffner of Computer World UK recently published an article that discusses how effective data integration improves digital customer experiences and the role semantic analysis plays in that process. The article states, “Today, continual experience optimisation is… difficult because of: (1) Multiple interaction channels. You must collect, correlate, and analyze data in a coherent way across multiple channels of customer interaction. A single customer interaction may cross between channels or even use more than one channel at the same time. (2) Many back end servers. You must integrate data from multiple back end servers including recommendation engines, commerce, mobile application servers, digital asset management, community, collaboration, messaging, and more. (3) The need for rapid change. You must quickly change any or all of your digital experiences and back end services based on what you’ve learned. (4) The need for contextual experiences. You must use each individual customer’s context to dynamically adjust experiences in real-time.” Read more

Infer Raises $10M in Series A Funding for Big Data Sales Platform

Ryan Lawler of Tech Crunch reports, “Infer has raised $10 million in Series A funding led by Redpoint Ventures, with other investors including Andreessen Horowitz, Social+Capital Partnership, Sutter Hill Ventures, and individual angels including Pejman Nozad. Along with the funding, Redpoint partner Satish Dharmaraj joined the Infer board. The platform works by ingesting all sorts of corporate sales data from various CRMs and other sales and marketing databases, and combines that proprietary internal data with various signals available on the web. Read more

Big Data Analytics As A Service, With An Ontology For Cross-Platform Analysis At Its Core

Oversight Systems is in the business of Big Data analytics. Come June, it also will be in the business of having its technology serve as a platform behind third-party business intelligence and analytics applications on-demand – including its ontology approach for integrating data from disparate enterprise systems.

The company currently provides packaged solutions that let front-line employees involved in processes such as procure-to-pay or order-to-cash conduct continuous transaction analysis for insights into transactions that violate business rules, so that the business can take action to close gaps and assure compliance to operational and regulatory requirements. The ontology it’s developed over the years, which includes proprietary semantic and relationship information and infers some additional information, is there to help with the acquisition and preparation of data.

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Linked Data: The Future of Data Integration

John Walker of NXP recently discussed Linked Data as the future of data integration in the enterprise. He writes, “The main business drivers for this have, so far, been mostly internal: how to ensure product data is available across internal systems in an easy-to-use and efficient manner. In many areas simple XML messages and other B2B standards are applicable, but within a portfolio of over 20,000 products across a broad variety of functions and technology it simply is not possible to describe the complex properties of an electronic component with a handful of standard XML elements. Also the tree-based XML DOM soon starts to become a limitation when dealing with a highly-interlinked web of information. The answer (as it turns out) is quite simple: think graph.” Read more

Concept Searching Partners with Aeturnum

Concept Searching reports that the company is now working with Aeturnum, “a global provider of enterprise-class application development services and solutions, to deliver integrated collaboration and search solutions to both the commercial and federal sectors. A Concept Searching integration partner, Aeturnum provides custom solutions to businesses across industry verticals, utilizing best-fit technology platforms offered by leading software companies. Aeturnum has integrated its expertise in business portals, and enterprise software implementation and integration, with Concept Searching’s intelligent search and classification capability. Find full details in the Aeturnum Case Study.” Read more

Pharma Becoming Ever-Bigger Fan of Semantic Technology

Courtesy: Flickr/epSos.de

At the Semantic Technology and Business Conference in New York City last week, attendees got to hear a lot about how semantic technology is influencing various sectors, such as government (see our stories here and here) and media (see this article and this one). Another prominent one on display: pharmaceuticals.

Pharma, for example, was the driving use case for the update to Callimachus that focuses on helping users deal with data that’s external to the framework for data-driven applications, David Wood, CTO of Callimachus project sponsor 3 Round Stones, told The Semantic Web Blog at the event. (To learn more about the update, see our story here.)

A session on Tuesday last week saw Lee Feigenbaum, vp of marketing at Cambridge Semantics, which makes the Anzo express and Anzo Enterprise solutions,  put forth a case for semantic tech as being key to data integration and interoperability in the sector, as well. “Can semantic web technologies break down enterprise data silos just as they break down document silos on the web?” he said. “The answer to the question is, “Of course.” Compared to the web, the data silo challenges of even the largest pharmaceuticals organization is relatively minor.”

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Demonstrating Linked Data’s Effect on Recall

Jindrich Mynarz recently shared a demonstration of how linked data improves information recall via data integration. He writes, “Linked data is an approach that materializes relationships in between resources described in data. It makes implicit relationships explicit, which makes them reusable. When working with linked data integration is performed on the level of data. It offloads (some of) the integration costs from consumers onto data producers. In this post, I compare the integration on the query level with the integration done on the level of data, showing the limits of the first approach as contrasted to the second one, demonstrated on the improvement of recall when querying the data.” Read more

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