As I'm member of WESO Research Group and we try to spread the Semantic Web around the world, our partner César thought that it would be interesting to publish a RDF file with our personal data using the FOAF vocabulary.
This is a well known vocabulary that is used in lots of semantic web applications because it provides a very usefull and meaningfull way for publishing personal data.
In the following link you can view the RDF/XML file describing me using the FOAF vocabulary.
martes, 27 de marzo de 2012
Pablo Abella Vallina's FOAF File
Ubicación:
Oviedo, España
miércoles, 21 de marzo de 2012
Tadej Stajner research
The other day, Labra shared with us some research work made by Tadej Štajner. I found very interesting two of his papers, related with entity resolution and desambiguation. I think it would be very interesting for both BCN mediator and Periodicis (the first of the papers bases his research in news archives).
I left you the links below:
This is a very short paper, but it explains very well the problem about find related news with a certain topic.
Story link detection with entity resolution
by Tadej Štajner, Marko Grobelnik
http://ceur-ws.org/Vol-491/semse2009_24.pdf
In this second paper, Štajner describes some methods for indetifying and resolving entities from structured data using semi-structure background knowledge database.
From unstructured to linked data: entity extraction and disambiguation by collective similarity maximization, Identity and reference
by Tadej Štajner
You can download it from Mendeley, but you need to have an account.
http://www.mendeley.com/download/public/22724/111124129/96600a8a71432d4ee7ca53e0308b7ada1e337707/dl.pdf
This is the Tadej Štajner's profile in Mendeley in which you could find more related work about these topics.
http://www.mendeley.com/profiles/tadej-tajner/
I left you the links below:
This is a very short paper, but it explains very well the problem about find related news with a certain topic.
Story link detection with entity resolution
by Tadej Štajner, Marko Grobelnik
http://ceur-ws.org/Vol-491/semse2009_24.pdf
In this second paper, Štajner describes some methods for indetifying and resolving entities from structured data using semi-structure background knowledge database.
From unstructured to linked data: entity extraction and disambiguation by collective similarity maximization, Identity and reference
by Tadej Štajner
You can download it from Mendeley, but you need to have an account.
http://www.mendeley.com/download/public/22724/111124129/96600a8a71432d4ee7ca53e0308b7ada1e337707/dl.pdf
This is the Tadej Štajner's profile in Mendeley in which you could find more related work about these topics.
http://www.mendeley.com/profiles/tadej-tajner/
lunes, 19 de marzo de 2012
Hello research world!
This is the first post of this blog in which I will show my research work. I'm doing my research in computer science at the University of Oviedo, being a member of WESO Research Group.
I will try to submit new posts each week showing some reviews of research papers related with my work.
Hope you enjoy reading me!
I will try to submit new posts each week showing some reviews of research papers related with my work.
Hope you enjoy reading me!
Suscribirse a:
Entradas (Atom)