Entity and Dataset reconciliation

Since the raise of Linked Data, one of the biggest problems of this kind of data (and all kinds of data in gerenal) is the duplication of information.

For this reason, some experts have tried to solve this problem using different techniques. I have taken a look into the following papers to get some ideas for one of the projects the group is involved right now and I think we could reuse them to achieve our goal in this project.

Re-using Cool URIs: Entity Reconciliation Against LOD Hubs
Fadi Maali, Richard Cyganiak, Vassilios Peristeras
http://events.linkeddata.org/ldow2011/papers/ldow2011-paper11-maali.pdf

This one shows some the obtained results for a ontology and instance matching system, the major problems of data reconciliation.
SERIMI results for OAEI 2011
Samur Araujo, Arjen de Vries, Daniel Schwabe
http://ceur-ws.org/Vol-814/oaei11_paper15.pdf

Semantic Search Engine

During this year, the group is going to work in a Semantic Search engine that will work with E-government data. For this reason, I've been looking for some tools that would help us in performing this project properly.

The folowing paper is a good research done by the best people in this area during the last six years. I think I should take another closer look to this research as soon as we start the development of our semantic search engine.

Searching and browsing LinkedData with SWSE: The Semantic Web Search Engine
Aidan Hogan, Andreas Harth, Jürgen Umbrich, Sheila Kinsella, Axel Polleres, Stefan Decker

http://www.sciencedirect.com/science/article/pii/S1570826811000473

Pablo Abella Vallina's FOAF File

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.

pabloabellavallina.rdf

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/

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!