Economy is crashing, apps are smashing

Just believe in the process....a brief summary of 2011

Knowledge Discovery Solutions & STM research products

What a year, 100+ solutions "built by researchers for researchers" in an STM platform and what an effort in the last two months of our team and the developers creating these solutions.
Many thanks to everyone -students, librarians, developers, researchers, scientists- in participating in this new ecosystem and bringing your innovations and solutions.
Happy 2012.

Applications Challenge

Back in Dayton visiting our development team, talking APIs and Apps; some interesting numbers on the value of platform and opening up your APIs- Twitters gets 3 billion request a day through its APIs; CHI papers and DiffIE, I am trying to figure ipad out too; John Wilbanks is always thought provoking and makes you think how we can "accelerate science", linked data will play a key role to way we present inormation and develop apps.

Evri connects the information and enables better discoverability

A very good attempt (and so far the easiest) by Evri to bring "information to life"

We need semantics in scientific search

Scientific online publishers must develop expertise in semantic search in their technology teams and hire gurus in semantic web from academia or corporate world. That's one of the ways we will enhance the value of scientific content. Peter Mika's article describes why we need semantics in search. Peter is a researcher at Yahoo! Research

Here is some of the limitations of the current search platforms :

"Even though search is considered a functional technology, there are limits to a syntax-based approach. The following list shows some examples of these limitations.

• It is almost impossible to return search results that relate to the secondary sense of a term—especially if a dominant sense exists—for example, try searching for George Bush the beer brewer as compared to the President.
• The capabilities of computational advertising, which is largely also an IR problem (for example, retrieving matching ads from a fixed inventory), are clearly impacted because of the sparsity of advertisements.
• When no clear key exists, search engines are unable to perform queries on descriptions of objects. For example, try searching for the author of this article with the keywords ‘semantic web researcher working for yahoo.’
• Current search technology is unable to satisfy any complex queries requiring information integration such as analysis, prediction, scheduling, etc. An example of such integration-based tasks is opinion mining regarding products or services. While there have been some successes in opinion mining with pure sentiment analysis, it is often the case that users like to know what specific aspects of a product or service are being described in positive or negative terms and to have the search results appear aggregated and organized. Information integration is not possible without structured representations of content.
• Multimedia queries are also difficult to answer, as multimedia objects are typically described with only a few keywords (tagging) or sentences. This is typically too little text for the statistical methods of IR to be effective."

Scientists and FriendFeed

Cameron Neylon explains how scientists are using this service to collaborate....

A fresh attempt in knowledge representation in life sciences

Wikiprofessional's Concept Web Initiative is a global collaboration to innovate how knowledge [knowlet] is represented and expanded on the Internet"