Final Thesis text almost finished…

Only the abstract remains to be written, as an inspiration the 30 most frequent words of my work could probably serve as a basis. Would they be great tags to give a reliable representation of my work were tag representations play a very important role? We’ll see… the irony!

affinity (39) application (58) based (36) conference (72) data (228) events (48) expert (49) framework (70) grabeeter (37) information (67) linked (93) location (36) microblogging (51) module (37) network (60) persons (78) profiling (117) rdf (48) relevant (36) researcher (54) results (61) semantic (128) social (97) store (35) system (71) tags (68) twitter (82) used (62) users (250) web (136)

created at TagCrowd.com

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

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.

Click here for the Researcher Affinity Browser

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.

Progress Report 4

This report is a presentation. I presented it today for members of the research group and fellow thesis students at the KULeuven.

Scientific Profiling Presentation

It explains the evaluation approach for the framework. The term “affinity” is being introduced for the first time. Before terms like shared resources or common entitities and interests were used.

“Affinities” expresses much better the user-centric perspective and the fact that it is a subjective notion. It also means that it is not only linked to a certain person but is also time-sensitive, something that could be called a “user context”.

 

Constructing Experts Profiles from Linked Open Data

Inspired from Linked Open Data (LOD) initiative, Latif et al. have developed a tool which can establish links between authors of digital journals with relevant semantic resources available in LOD [1]. The proposed system is able to disambiguate authors and can: 1) locate, 2) retrieve, and 3) structure the relevant semantic resources. Furthermore, the system constructs comprehensive aspect oriented authors’ profiles from heterogeneous datasets of LOD on the fly. They investigated the potentials of such an approach on a digital journal known as Journal of Universal Computer Science (J.UCS). It is their strong belief that this kind of applications can motivate researchers and developers to investigate different application areas where Linked Open Data can contribute, bring added value, and can take the idea of open access further.

Because of the strong resemblance to our application, some interesting aspects of their approach will be used in this project.

Open Innovation Problem Solver Search

This project presents a case in which technical scientists are linked to each other. The intention is to connect scientists that have similar interests. In “Open Innovation” experts of different institutions and companies try to collaborate and increase the rate of technological innovation. M. Stankovic wrote a paper [1] to check if linked data contributes in these efforts.