ACENET-hosted HPCS 2006 will take place May 14-17 at Memorial University of Newfoundland.
The conference program has just been posted – you'll also need to download a separate file for the details on the breakout sessions.
At last year's event, I presented a paper on an XML-based data model for the Global Geodynamics Project (GGP).
This year's submission extends that model to address challenges with metadata (i.e., data about data) – and in particular, the automated extraction of metadata. As with the previous paper, I collaborated again with Keith Aldridge of York University.
Orion may be one of the first examples of a more semantically rich and expressive search engine:
"Take a search such as the American Revolution as an example of how the system works. Orion© would bring up results with extracts containing this phrase. But it would also give results for American History, George Washington, American Revolutionary War, Declaration of Independence, Boston Tea Party and more. You obtain much more valuable information from every search."
Sounds like it's worth exploring 😉
I'll be making a presentation at Environment Canada on the semantic expressivity and richness of scientific data. The abstract is available in English and French .
Once again, this HPC event did not disappoint!
Many of the highlights have been blogged by HPCwire – and this includes the panel I participated in.
Breaking with tradition, this year's gala reception was held at the International Tennis Hall of Fame. I'm (left) pictured in this entry with event organizer John Miguel (middle) and Alexandra Gross (right) of Scali, Inc at the reception.
I'm sure the presentations will be made available soon …
Although scientists routinely structure their data, they rarely take advantage of this effort. This is understandable: Conventional methods are not designed to exploit structure. Fortunately, the ongoing adoption of well-established (the eXtensible Markup Language, XML) and emerging (the Resource Description Framework, RDF) Web representations is causing this situation to change – by automatically and systematically enhancing the expressivity and richness of scientific data. After briefly reviewing these representations, emphasis is placed on a working geophysical example where this approach is being introduced. Highly consistent with Tim Berners-Lee's original vision for the Web, this transformation incorporates the meaning and context required for establishing a Semantic Web of scientific information … and ultimately knowledge.
I used the above as an abstract for a presentation I gave recently to some graduate students, faculty and staff at York University.
This abstract also serves the purpose of placing this blog entry into context.
In addition to the presentation at York, related items include:
- A recently accepted paper on automating the extraction of metadata – this paper will be presented at an upcoming event
- A paper describing an XML-based data model
- A recently presented poster on informal, `bottom-up' ontologies – this poster provides a roadmap for the progression
You can expect more on this thread …