The Idea-to-Implementation Initiative: Discover relevant resources efficiently, obtain feedback instantly and collaborate more effectively.

“Idea-to-Implementation” is a new non-profit initiative supported by me. Its members can get the opportunity to share their ideas, get inspired and build a future together. All the members deliver valuable building blocks to a trusted community and retain control over all their contributions at all times.

The initiative exposes implicit invisible relations and allows people to connect based on entities identified as affinities that they share. Such entities are common real world things and can thus represent locations, people, events, document-snippets, charts, images etc.

Members can ask expertise analysis on excerpts of their personal reading library, social networks, search queries or browsing history and a use it as an intelligent collaboration tool.

The main hooks and hubs for the initiative operations are the people who contribute ideas. It puts the relations between the people central. You can see it as a huge peer-2-peer review network or a free open university where everybody is student, teacher, researcher and policy maker at the same time.

Support this new initiative by filling out their “Idea-to-Implementation tool” Questionnaire. Read more of this post

A backdoor to what you are ‘supposed’ to discover

For centuries libraries and their librarians operated as gatekeepers and experts in preservation. They were the providers of information in a paper paradigm. Libraries held paper copies from books and journals full of knowledge. They held the key to access the information in their resources and refer to other libraries’ resources.  The dominant provision of information has changed with the arrival of the Internet. Most information is now digitally shared and exchanged online. [1]

A growing number of Web 2.0 Services such as MendeleyBibsonomy and citeulike are disclosing information from a huge amount of resources. However it is still a troubling task for users to check all those services one by one as they each provide access to a (small) part of the entire available information ‘cloud’…

Read more of this post

Influence of social media and intelligent recommendation systems on research and expert finding

Infographic on how Social Media are being used...

Image via Wikipedia

Social media play an ever increasing role in the kind of information we get to see and especially how (fast). More than ever, any individual gets the opportunity to consume (after paying a fee) scientifific articles that they desire. Besides that it’s possible via news groups, forums, faq-sites, blogs and social networks to contribute ideas as a new article or directly as a quick tought directly to followers or subscribers. People no longer publish only in their free time or as a hobby. Professionals, experts, researchers and educators are increasingly using social media. Defining an expert or shaping a research project evolves enormously under influence of new technology as intelligent recommendation systems  who massively starting to adopt social media in their algorithms. Read more of this post

Explore your Social Circle, improve your Research

If you have a Twitter account and want to register in Grabeeter (or already have), you can now try out and take part in the evaluation of the “Researcher Affinity Browser“. Grabeeter is a tool to archive and search your tweets. The Researcher Affinity Browser is one of the first to expose affinities between Twitter users and is the first web application built on top of a semantic profiling framework. It is intended for researchers who are using Twitter for microblogging and are tweeting about their research, their interests or the conferences they are attending or tracking.

Researcher Affinity Browser

Researcher Affinity Browser

The semantic profiling framework grew throughout this year as my thesis project and information about the evolutions is presented here on this blog.

So if you are a researcher and are using Twitter, you are most welcome to explore people who have already registered themselves in Grabeeter. You can register from inside the application or here. After registration you have to wait a few hours before your data is analysed and suggestions can be made for you. Once you are registered you can start exploring people by selecting your username.
Important Notes

1. You can evaluate the application by filling out the form that can be accessed by clicking on the “Evaluate”-button inside the application or by using this form.

2. You can also evaluate the application with a default user if you feel uncomfortable or don’t want to wait for your data to be analyzed. Just click the Load Persons button without selecting a user in the list. The default user is selected because it has the most conferences.

Real Time Interlinking of Tweets (API)

In the previous post, I described a demonstration of a HTTP Stream with realtime annotated tweets. We improved the annotation by trying to identify concepts and linking them to resources in the LOD cloud. For example DBPedia, GeoNames and FreeBase. Read more of this post

Realtime Social Semantic Web

In another similar project we are trying to bring realtime RDF annotation to the Social Web! Read more of this post

Thinking about interlinking data contexts

Time to remind the project statement. To build a semantic profiling framework to support the connection of researchers. The main use case and application that the framework has to support is illustrated by what could be called: “the conference case”. Scientists and researchers are interested in very specific topics, this is best verified by the conferences they are attending. Another trend is that they all blog and tweet about these events. This creates huge opportunities for profiling. The attendees tweet about what they notice, what they remark as interesting for their own projects. What if we could connect these users using this information? We could call an application that does just that “Scientific Profiling“. This approach comes from the concept that the data produced in social networks can have true value if properly annotated and interlinked. A second requirement is to create a suitable context in which this information can get meaning. This is very important to identify which ontologies should be used. Read more of this post