Posts Tagged ‘Ontology’

Hello 2014

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Courtesy: Flickr/Wonderlane

Yesterday we said a fond farewell to 2013. Today, we look ahead to the New Year, with the help, once again, of our panel of experts:

Phil Archer, Data Activity Lead, W3C:

For me the new Working Groups (WG) are the focus. I think the CSV on the Web WG is going to be an important step in making more data interoperable with Sem Web.

I’d also like to draw attention to the upcoming Linking Geospatial Data workshop in London in March. There have been lots of attempts to use Geospatial data with Linked Data, notably GeoSPARQL of course. But it’s not always easy. We need to make it easier to publish and use data that includes geocoding in some fashion along with the power and functionality of Geospatial Information systems. The workshop brings together W3C, OGC, the UK government [Linked Data Working Group], Ordnance Survey and the geospatial department at Google. It’s going to be big!

[And about] JSON-LD: It’s JSON so Web developers love it, and it’s RDF. I am hopeful that more and more JSON will actually be JSON-LD. Then everyone should be happy.

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Senzari’s MusicGraph APIs Look To Enhance Musical Journeys

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News came the other week that Senzari had announced the MusicGraph knowledge engine for music. The Semantic Web Blog had a chance to learn a little bit more about it what’s underway thanks to a chat with Senzari’s COO Demian Bellumio.

MusicGraph used to go by the geekier name of Adaptable Music Parallel Processing Platform, or AMP3 for short, for helping users control their Internet radio. “We wanted to put more knowledge into our graph. The idea was we have really cool and interesting data that is ontologically connected in ways never done before,” says Bellumio. “We wanted to put it out in the world and let the world leverage it, and MusicGraph is a production of that vision.”

Since its announcement earlier this month about launching the consumer version on the Firefox OS platform that lets users make complex queries about music and learn and then listen to results, Senzari has submitted its technology to be offered for the iOS, Android, and Windows Mobile platforms.  “You can ask anything you can think of in the music realm. We connect about 1 billion different points to respond to these queries,” he says. Its data covers more than twenty million songs, connected to millions of individual albums and artists across all genres, with extracted information on everything from keys to concept extractions derived from lyrics.

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Help For HealthCare: Mapping Unstructured Clinical Notes To ICD-10 Coding Schemes

Photo of Amit ShethThe health care industry – and the American citizenry at large – has been focused of late on the problems surrounding the implementation of the Affordable Care Act, the federal website’s issues foremost among them. But believe it or not, there are other things the healthcare industry needs to prepare for, among them the October 1, 2014 date for replacing the World Health Organization’s International Statistical Classification of Diseases and Related Health Problems ICD-9 code sets used to report medical diagnoses and inpatient procedures by ICD-10 code sets. ICD-9 uses 14,000 diagnosis codes which will increase to 68,000 in ICD-10, which is a HIPAA (Health Insurance Portability and Accountability Act) code set requirement.

Natural language processing has had the primary role in many solutions aimed at transforming large volumes of unstructured clinical data into information that healthcare IT application vendors and their hospital customers can leverage. But there’s an argument being made that understanding unstructured text of clinical notes that contain a huge stash of information and then mapping them to fine-grained ICD-10 coding schemes requires a combination of NLP, advanced linguistics, machine learning and semantic web technologies, and Amit Sheth, professor of computer science and engineering at Wright State University and director of the Kno.e.sis Center is making them. (See our story yesterday for a look at how the NLP market is evolving overall, including in healthcare.)

“ICD-10 has thousands of codes with millions of possible permutations and combinations. A rule-based approach is not effective to cover the huge number of ICD-10 codes.” Sheth says. Extracting the correct concepts, identifying the relationship between these concepts and mapping them to the correct code is a major challenge, with codes often formed by information from various sections of a clinical document that itself is subject to individual physicians’ style of recording information, among other factors.

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Sem Tech Solution For Materials Design And Development Wins Small Business Innovation Research Grant

rsz_matontoA Small Business Innovation Research grant, sponsored by the U.S. Air Force through the Office of the Secretary of Defense, has gone to a semantic technology solution for materials design and development. The project is aligned with the Materials Genome Initiative  that’s targeted to accelerate the pace of discovery and deployment of advanced material systems.

“This will help to showcase the semantic web technologies and methodologies in a large and meaningful domain and application area,” says Sam Chance, Innovation Evangelist and Special Programs Lead at iNovex Information Systems, which is the principal investigator and technical agent for development and integration for the project that will leverage W3C semantic standards. The project also includes as team members the University of Queensland, Penn State University, SRI International’s Materials Laboratory, and with Cambridge Semantics for access to its semantic tools to be bootstrapped onto the solution.

The University of Queensland brings to the effort a high-level domain ontology to represent structured knowledge about materials, their structure and properties and the processing steps involved in their composition and engineering, as well as certain case studies and data sources around jet fuels for hypersonic flight that are considered part of the materials design domain. The group at Penn State has been involved with the Materials Genome Initiative and also brings to the work particular case studies and data sources, this time for materials with nickel alloy as the base system. SRI has case studies and data sources for turbine blade coating.

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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

Monetize That Media: Media Mixer To Create Web-Wide Market For Media Fragment Reuse

rsz_robertopixWhen you hear Media Mixer, you might be thinking of a visual artist who works with different materials to create his or her works, or perhaps someone involved in audio production. You may not immediately think of the semantic web, Linked Data, or their role in making it easy to reuse and manage the copyrights for online media fragments.

Time to rethink your definition. The Media Mixer project is indeed about making the Web of Media a reality with the help of media fragment detection and semantic annotation, in conjunction with copyright management that is integrated into the Web fabric, using Linked Data principles and reasoning based on a Copyright Ontology. At the Semantic Technology & Business Conference in NYC earlier this month, Roberto Garcia Associate, Professor at Universitat de Lleida and principal investigator at  MediaMixer, discussed the EU-funded effort to create, repurpose and reuse media fragments across borders on the Web, and its goal of making media more valuable for its owners such as video producers, hosters and redistributors, and more useful for consumers.

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Following Up on FIBO At SemTechBiz

SemTechBizThe Financial Industry Business Ontology (FIBO) was a main topic of interest at last week’s Semantic Technology & Business Conference – which took place in New York City, the capital of the financial services industry. FIBO, as The Semantic Web Blog has previously discussed, is both a business conceptual ontology and an operational ontology delivered together, designed to be useful both to the financial industry and the regulatory community in understanding the complex patterns and relationships of information characteristic of the sector, with the goal of driving greater transparency. The FIBO initiative is a joint effort underway by the Object Management Group and the Enterprise Data Management (EDM) Council.  But many other different standards will be useful to solve the industry’s issues, as well.

At the presentation, Semantics in Finance, Thematix Partners’ principal Elisa Kendall – self-described standards wonk and member of the OMG Architecture Board and co-chair, Ontology Definition Metamodel (ODM) Revision Task Force – pointed out that the amount of regulation in the financial services sector has increased over 400 percent in the last two to three years. She argued for a little more sympathy for the financial services industry, too, which hasn’t been on the receiving end of a lot of that since about 2008 – even though some of these players stepped up to buy companies that were knocked flat by the mortgage market meltdown.

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Alme For Healthcare: A Virtual Personal Assistant For Disease Management Debuts

rsz_1rsz_almepixAlme for Healthcare brings the personal virtual assistant to the disease management space. Next IT’s Alme natural language platform has a history in other sectors, including financial services, where it’s servicing loan-insurance for SWBC; transportation, where it’s enabling self-service for Alaska Airlines customers; and Aetna, where it’s supporting new user registrations, among others. In fact, Aetna is one of the customers it’s working with on the new healthcare virtual assistant that is designed to improve patient outcomes and quality of care.

The personal assistant functions in a multi-modal model, supporting both talking in natural language and typing; across multiple platforms, including smart phones and tablets; and with multi-lingual capabilities. The conversational language assistant is based on what Next IT notes is a comprehensive patient ontology, support for goal-based conversations (such as helping patients stick with treatment plans), and interactive concept illustrations (pointing out where to do at-home injections, for example).

“We’re working on disease management,” says Fred Brown, founder and CEO of Next IT. “People see their doctor every six months and then sort of forget what they’re supposed to do. So we want to provide real-time help and assistance for them, and an escalation path to a live medical professional when needed.”

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Exploit Agile Methodology For Big Project Wins

A global media organization that provides fixed-line internet IP TV to some 10 million customers had a new business initiative that was going to require it to gain some insight into its client base. After some 15 years in business, though, it’s not surprising to learn that that information exists – and re-exists in many different forms – across many legacy applications, and trying to map those customers’ old purchase relationships to a new product catalog as part of a new payment and sales platform could have been just the thing to slow down the company.

Does that situation sound familiar? If your company’s been in business for some length of time, the answer probably is a resounding yes. Like this media business, you may well be in a market with plenty of competitive threats, meaning that unless you constantly innovate, your bread and butter is threatened. And so, you too, probably always are turning to your IT infrastructure team with new requirements.

“And it can be hard for them to build what they need to deliver,” says Carl Bray, product manager at Ontology Systems.

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Amtera Breaks Out Semantic Relatedness API

Amtera, a Brazilian-based startup whose main solutions are focused on semantic enterprise search and knowledge management, is exploring the API business model.  Its first step in that space is its new semantic relatedness API, which is a piece of its overall pipeline technology for querying Linked Data. Its main products are Esprit for enabling semantic search by meaning rather than keyword, and Sentient, for social media analysis.

The API, the company says, supports applications accessing large-scale distributional knowledge bases, offering word sense disambiguation and classification so developers can deliver knowledge models assured of the correct determination of words.

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