Superfast Pathfinding in DBpedia

Superfast Pathfinding in DBpedia

Everything is Connected is able to find a path between a Facebook user and any concept known on DBpedia, such as, persons, locations, things, etc. The found path is presented to the end-user as a short story, which explains the relation between the searched concept and the end-user.

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A Semantic Approach to Cross-Disciplinary Research Collaboration

Slides and paper are online

A Semantic Approach to Cross-Discplinary Research Collaboration

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Presentation on RDSRP’11

Last week I presented our work on the I-KNOW 2011 Special Track on Recommendation, Data Sharing, and Research Practices in Science 2.0 in Graz.You can find a link and citation to our publication here. In this post I include the presentation slides including the demo movie used during our session on Wednesday 7th of September. 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.

Profiling and Discovery API functions for Grabeeter (TUGraz), 1st version

A short user guide on how to use the API for the Semantic Profiling framework (more details are following), please note that the “Profiling” and “Discovery” functions used in step 3 and 4 are under construction. Every time you check the results may differ strongly.

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User Analysis possibilities: first simple Demo!

I implemented a first very basic demonstration to show the possibilities for analysis of the annotated tweet data. This first demo makes no use of any domain knowledge or linked data. It is just uses the annotated user data and associated tags.

It matches two users based on similar hashtags. Of course this can be done on many ways. But the semantic profiling framework (in its current state) made an implementation for the logic possible in just half an hour with 3 lines of code on top of the framework.

The next and final improvement for this simple demo will be to identify scientific conferences in the list of common tags.

Try it yourself

If you are not in the database yet, you can do it by using this link:

http://linkeddata.semanticprofiling.net/interlinking/provider.php?user=your_name

http://linkeddata.semanticprofiling.net/test/usermatch_demo.php?q=laurens_d_v&q2=selvers

First analysis demo

First analysis demo


SPARQL Endpoint set-up and load any twitter profile into the RDF Store

This weekend I optimized the triplification and annotation process for every twitter user. From now on it is possible to load any twitter user and store the annotated triples in the ARC2 TripleStore. A SPARQL endpoint allows querying

For now you can be load your own twitter account and associated tweets into the system with this url:

http://linkeddata.semanticprofiling.net/interlinking/provider.php?user=your_username

Contribute to the semantic web and do it NOW! 🙂 Any questions or extreme load times, I will be happily to look into and fix it!

The SPARQL Endpoint can be accessed on:

http://linkeddata.semanticprofiling.net/interlinking/endpoint_handler.php

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