Semantics for the Rest of Us: Variants of Semantic Web Languages in the Real World is a workshop that will be held at the on 26 October 2009 in Washington, DC.

We seek two kinds of submissions: full papers up to ten pages long and position papers up to five pages long. Format papers according the ISWC 2009 instructions. Accepted papers will be presented at the workshop and be part of the workshop proceedings.

Organizers:

• Lalana Kagal, Massachusetts Institute of Technology
• Ora Lassila, Nokia
• Tim Finin, University of Maryland, Baltimore County

“Each Faculty member grants to the Massachusetts Institute of Technology nonexclusive permission to make available his or her scholarly articles and to exercise the copyright in those articles for the purpose of open dissemination. In legal terms, each Faculty member grants to MIT a nonexclusive, irrevocable, paid-up, worldwide license to exercise any and all rights under copyright relating to each of his or her scholarly articles, in any medium, provided that the articles are not sold for a profit, and to authorize others to do the same. The policy will apply to all scholarly articles written while the person is a member of the Faculty except for any articles completed before the adoption of this policy and any articles for which the Faculty member entered into an incompatible licensing or assignment agreement before the adoption of this policy. … The Provost’s Office will make the scholarly article available to the public in an open- access repository. The Office of the Provost, in consultation with the Faculty Committee on the Library System will be responsible for interpreting this policy, resolving disputes concerning its interpretation and application, and recommending changes to the Faculty.

I have to say I am conflicted about this and wish I was more informed. As a researcher, I am 100% for the right to make papers describing our results freely available. But I also recognize that publishers and professional societies are an essential part of our research infrastructure and their business models are partially built on copyright and controlling access to content.

Just as we are seeing the big changes in main stream media, we will probably see related changes in publishers, including professional societies. We’ll have to wait and see if they represent a phase shift to a new and better model or simply the collapse of the old one.

The analogy between the two is far from perfect. Traditional MSM publishers pay a professional staff to research, write and edit stories. Journal publishers and professional societies don’t typically pay their authors who increasingly deliver camera ready copy or near camera-ready electronic copy.

“Transform our Economy with Science and Technology: To secure America’s role as a world leader in a competitive global economy, we are renewing America’s investments in basic research and development, in training students for an innovation economy, and in deploying new technologies into the marketplace. This will help businesses in every community succeed in a global economy.”

The CRA policy blog has the details in House Numbers for Science Prevail in Stimulus Conference. Highlights of the $15B+ to be invested in scientific research include:

• Provides $3 billion for the National Science Foundation, for basic research in fundamental science and engineering – which spurs discovery and innovation.
• Provides $1.6 billion for the Department of Energy’s Office of Science, which funds research in such areas as climate science, biofuels, high-energy physics, nuclear physics and fusion energy sciences – areas crucial to our energy future.
• Provides $400 million for the Advanced Research Project Agency-Energy (ARPA-E) to support high-risk, high-payoff research into energy sources and energy efficiency in collaboration with industry.
• Provides $580 million for the National Institute of Standards and Technology, including the Technology Innovation Program and the Manufacturing Extension Partnership.
• Provides $8.5 billion for NIH, including expanding good jobs in biomedical research to study diseases such as Alzheimer’s, Parkinson’s, cancer, and heart disease.
• Provides $1 billion for NASA, including $400 million to put more scientists to work doing climate change research.
• Provides $1.5 billion for NIH to renovate university research facilities and help them compete for biomedical research grants.

NSF is slated to get $3B in new money:

“including $2 billion for expanding employment opportunities in fundamental science and engineering to meet environmental challenges and to improve global economic competitiveness, $400 million to build major research facilities that perform cutting edge science, $300 million for major research equipment shared by institutions of higher education and other scientists, $200 million to repair and modernize science and engineering research facilities at the nation’s institutions of higher education and other science labs, and $100 million is also included to improve instruction in science, math and engineering”

The plan also calls for new research money for NIH, DOE, NASA, NIST and other government organizations as well as $6B for broadband deployment.

While this is not large as bailouts go, we must keep in mind it was done without a crisis brought about by the rampant use of research breakthrough default swap instruments or scholarly paper citation pyramid schemes. Maybe we should have gotten MBAs.

Update 1/16: The CRA policy blog has some more details on how the funds will be allocated within some of the agencies.

“A journal’s Eigenfactor score is our measure of the journal’s total importance to the scientific community. With all else equal, a journal’s Eigenfactor score doubles when it doubles in size. Thus a very large journal such as the Journal of Biological Chemistry which publishes more than 6,000 articles annually, will have extremely high Eigenfactor scores simply based upon its size. Eigenfactor scores are scaled so that the sum of the Eigenfactor scores of all journals listed in Thomson’s Journal Citation Reports (JCR) is 100.
…
A journal’s Article Influence score is a measure of the average influence of each of its articles over the first five years after publication. Article Influence measures the average influence, per article, of the papers in a journal. As such, it is comparable to Thomson Scientific’s widely-used Impact Factor. Article Influence scores are normalized so that the mean article in the entire Thomson Journal Citation Reports (JCR) database has an article influence of 1.00.”

For example, here are the ISI-indexed journals in the AI subject category ranked by the Article Influence score for 2006.

The site makes good use of GoogleDoc’s motion charts to visualize the changes of metrics for top journals in a subject area. You can also interactively explore maps that show the influence of different subject categories on one another as estimated from journal citations.

The details of the approach and algorithms are available in various papers by Bergstrom and his colleagues, such as

M. Rosvall and C. T. Bergstrom, Maps of random walks on complex networks reveal community structure, Proceedings of the National Academy of Sciences USA. 105:1118-1123. Also arXiv physics.soc-ph/0707.0609v3 [PDF]

(spotted on Steve Hsu’s blog)

“In late May, 2008, a group of database researchers, architects, users and pundits met at the Claremont Resort in Berkeley, California to discuss the state of the research field and its impacts on practice. This was the seventh meeting of this sort in twenty years, and was distinguished by a broad consensus that we are at a turning point in the history of the field, due both to an explosion of data and usage scenarios, and to major shifts in computing hardware and platforms. Given these forces, we are at a time of opportunity for research impact, with an unusually large potential for influential results across computing, the sciences and society. This report details that discussion, and highlights the group’s consensus view of new focus areas, including new database engine architectures, declarative programming languages, the interplay of structured and unstructured data, cloud data services, and mobile and virtual worlds.”

On the site you can read the post-meeting report, view the participants presentations on DB research directions and talks and discuss the report on a Google group.

It’s a good report with lots of interesting things in it and definitely worth reading, but I was disappointed to find that it makes no mention of the Semantic Web, RDF, OWL, ontologies, AI, knowledge bases, or reasoning. Here’s a word cloud (generated with wordle) generated from the report, which provides a 10,000 foot view of it’s content.

The reports says that it was “surprisingly easy for the group to reach consensus on a set of research topics to highlight for investigation in coming years”. Those topics are:

• Revisiting Database Engines
• Declarative Programming for Emerging Platforms
• The Interplay of Structured and Unstructured Data
• Cloud Data Services
• Mobile Applications and Virtual Worlds

There is clearly overlap between the database and semantic web communities in the first three topics.

“The Pentagon’s storied research and development arm turned 50 years old this year, and its birthday present appears to be another $100 million in budget cuts, according to a Defense Department document provided to DANGER ROOM. The Defense Advanced Research Projects Agency (DARPA) is having a tumultuous financial year: in June, DARPA faced a $32 million cut because it was “underexecuting”, leading the agency’s director, Tony Tether, to strike back by saying the Pentagon’s “comptroller apparently does not believe in accountability.”
   Whether those comments sparked an all-out comptroller-DARPA war is open for speculation, but the latest “reprogramming,” signed on July 11, may speak for itself. The document includes a number of Pentagon-wide cash transfers, but it hits DARPA particularly hard. Cognitive computing systems, which has previously been hit by congressional cuts, will lose another $13 million, while Network Centric Technology is sliced by $19 million. Another $18 million is being diced from biological warfare defense, and a big cut is taken out of DARPA’s Electronics Technology program, which loses $26 million. The cuts also indicate that DARPA’s high power fiber laser program has apparently been canceled.”

To put a $100M cut in context, the yearly DARPA budgets have been over $3B recently. Still, many of these cuts will be painful within specific R&D communities.

It’s gratifying to see how many of these are companies based on computing and/or communications or have a business that is largely based on exploiting the latest computing and communications technologies. I think that it is appropriate to look at IT and communications as a group, even though they are traditionally viewed as different business sectors, because the innovations in each tends to be in areas where they overlap.

The distribution of the country in which these 50 companies are based is interesting. Of course, many of these are truly multi-national corporations .

“DARPA, the Pentagon’s mad science division, got a $324 million boost in the Defense Department’s new budget — a ten percent increase. Which means lots more cash for giant blimps, next-gen wireless networks, Mach 6 planes, shape-shifting drones, and improvised bomb-beaters. … But not everything in the DARPA budget got bumped up. The agency’s much-ballyhooed efforts at “Cognitive Computing” took at $30 million cut, to $145 million. Which could mean that even the Pentagon’s most wide-eyed visionaries see thinking machines are still far, far off in the distance.” (link)

DARPA has traditionally been an important funding source for basic computer science research. While the ORCA program got a healthy increase of $53M, this is the only CS-related program mentioned.

From the ACM announcement:

“Their innovations transformed this approach from a theoretical technique to a highly effective verification technology that enables computer hardware and software engineers to find errors efficiently in complex system designs. This transformation has resulted in increased assurance that the systems perform as intended by the designers. … Clarke of Carnegie Mellon University, and Emerson of the University of Texas at Austin, working together, and Sifakis, working independently for the Centre National de la Recherche Scientifique at the University of Grenoble in France, developed this fully automated approach that is now the most widely used verification method in the hardware and software industries.” (link)