Jump-Starting Semantic Web Efforts



Semantic Web technology has the potential to greatly improve the way researchers find, access, share, and use data. But like any new technology, there is a learning curve that must be overcome before the technology is widely adopted.

An online poll of Bio-IT World readers found that many life scientists do not know much about the Semantic Web. For example, about 37 percent of the poll’s 150 respondents said they were clueless when it came to the Semantic Web. Another 16 percent said they were vaguely aware, but needed more information. An additional 15 percent said they were intrigued by the Semantic Web, but were unsure of how to get involved (see Masters of the Semantic Web, October 2005, Bio-IT World).

The World Wide Web Consortium (W3C) has been doing its part by developing Semantic Web standards for data description and identification, an ontology language, and a Semantic Web rules language. Respectively, these standards are the Resource Description Framework (RDF), Web Ontology Language (OWL), and the Semantic Web Rule Language (SWRL).

To hear how early
adopters are taking
advantage of Semantic
Web technology,
download and listen
to the Bio-IT World
podcast interview
with Matt Shanahan.
podcast graphic - small

Despite these efforts, there is a growing realization that more must be done to evangelize the Semantic Web and to show people how to take advantage of the standards. “Organizations need examples to best understand the value of such standards,” said Matthew Shanahan, chief marketing officer at Teranode, where he is responsible for product direction. “The reality is that products and case studies are just now starting to emerge that provide context and understanding of what these standards are and the novel applications they can enable.” 

Shanahan’s interest in the Semantic Web relates to his company’s ongoing product development work. Teranode develops software that lets researchers collect, model, and analyze experimental lab data. As is the case with many informatics and other life science software vendors, the company is trying to understand how Semantic Web technologies might be leveraged to help handle, organize, and understand disparate data.

Shanahan’s observation about the need for examples is on the mark. To address this need, the W3C last month took the very unusual step when it formed the the Semantic Web Health Care and Life Sciences Interest Group (HCLSIG), the first W3C special interest group centered around the challenges and requirements of a particular vertical industry.

HCLSIG hopes to help life scientists tap the potential of Semantic Web technology by developing use cases and applying standard Semantic Web specifications to healthcare and life science problems.

“This new venture puts W3C specifications through the paces of a dynamic, multifaceted, and interdependent set of communities,” said Tim Berners-Lee, W3C director. “We have a remarkable opportunity to listen to the area experts, to see how our work meets their needs, and to serve their future requirements.”

Overseeing the HCLSIG for the W3C will be Eric Miller, Semantic Web activity lead, W3C, who will look to industry to provide the oversight needed to bring in the subject matter expertise. He has recruited two co-chairs. From the life sciences he recruited Eric Neumann, an independent consultant and former global head of knowledge management at Aventis, which was acquired by Sanofi; and from healthcare Tonya Hongsermeier, corporate manager, clinical knowledge management and decision support at Partners HealthCare System.

One challenge the group will likely tackle is finding ways to make existing life science and healthcare vocabularies and ontologies work within a Semantic Web context. Making existing data Semantic Web-aware will make it easier to access, find, and share that information. Once the information is in a Semantic Web format, “people will start seeing the benefits as they will be able to stitch together data,” said Miller.

The group’s website already has a collection of several well-known and some lesser-known life science Semantic Web examples. Examples include BioDash, active semantic electronic medical records, and Partners’ Health Care Knowledge Management Portal. More will be added over time.

To coincide with the group’s announcement, the HCLSIG also put out a call for participation in its first formal meeting. The event will be held January 25th and 26th in Boston. Details about the meeting can be found here. “We hope to have people fly in from all over the world,” said Miller.

Note: Eric Neumann and Matt Shanahan will be presenters at a session devoted to advances in Semantic Web technology at Bio-IT World's 2006 Life Sciences Conference + Expo, its annual convention. Other speakers will be Oracle's Susie Stephens and Northeastern University's Ken Baclawski. Registration details are here.

 

Click here to login and leave a comment.  

0 Comments

Add Comment

Text Only 2000 character limit

Page 1 of 1



White Papers & Special Reports

sgi whp 2
Managing the Modern Genomics Data Flood
Sponsored by SGI

Managing and storing the perfect storm of multi-disciplined data pouring from next generation sequencers and other omics instruments is a central challenge in life sciences. Discover in this paper how the SGI ArcFiniti storage solution, optimized for unstructured genomics and life sciences data can: 

  • Reduce costs, proactively protect data integrity, and deliver the high performance I/O required for genomics data processing and analysis.  
  • Effectively manage capacities from 156TB to 1.4PB as a disk based, integrated hardware and software platform 


sgi - whp 1
Turning Genomics Data into Practical Insight
Sponsored by SGI

With worldwide sequencing capacity approaching 13 quadrillion DNA bases annually turning genomics data into knowledge is a true computational challenge. Read this paper and learn how the SGI UV coherent shared memory platform can:  

  • Speed results time while cost competitively tackling the most difficult computational problems across all omics disciplines. 
  • Push performance by scaling to extraordinary levels, up to 256 sockets (2,560 cores, 4,096 threads) per single system (one OS image). 

Provide support for up to 16TB of coherent shared memory in a single system image enabling extreme efficiency across a wide range of compute demands. 



accerlys-logo_2012_wh
New Complimentary Market Survey…
Collaborations and Communications Within Drug Discovery Research
Sponsored by Accelrys
This survey was conducted by the Cambridge Healthtech Media Group in January, 2012. It was sponsored by Accelrys related to their HEOS initiative to gather valid information around externalizing collaborative research while improving communications in the cloud. With 310 qualified industry respondents the survey findings reveal useful usage and trends patterns.  An insightful follow-on discussion and webinar related to this survey, and the HEOS by Scynexis SaaS portal is also available on the Bio-IT World website for complementary viewing.
 


Job Openings

tessella logo 
Scientific Software Engineer
Boston MA
$70,000 to $95,000
 
Apply at http://jobs.tessella.com   

oxford nanopore logo 


Early Access Collaborations ManagersClick here to find out more and apply   

Oxford Nanopore's GridION technology, VP, Sales and Marketing Click to  Apply  

For reprints and/or copyright permission, please contact  Tim McLucas, (781) 972-1342, tmclucas@healthtech.com .