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Cómo diseñar una red social de éxito

Según Nielsen, el uso de las redes sociales sigue creciendo a buen ritmo, y los usuarios las visitan más a menudo que el email. Pero, ¿qué es lo que hace que una red social sea atractiva? ¿Qué tienen en común, por ejemplo, LinkedIn, Myspace o Facebook? En Smashing Magazine han tratado de averiguarlo, y nosotros hemos elaborado un resumen con lo más interesante

desdeBlog del Freelance » Archivo del weblog » Cómo diseñar una red social de éxito.

Web 2.0 how-to design style guide – London web designers (Scratchmedia)

“Guia para diseñar una web 2.0”

Una lista de 15 tips para el diseño gráfico de la web

Summary of features covered

The list below is a summary of many of the common features of typical “Web 2.0” sites.

Clearly, a site doesn’t need to exhibit all these features to work well, and displaying these features doesn’t make a design “2.0” – or good!

I’ve already addressed some of these factors in my introductory Current Style article. Also note my article on Real Web2.0 Design, which explains that the essence of Web2.0 design isn’t surface graphical effects but the discipline of simplicity.

desdeWeb 2.0 how-to design style guide – London web designers (Scratchmedia).

Netherlands Bioinformatics Centre – Information Management




PhD Course: Managing life science information


25-29 May 2009, Science Park, Amsterdam, the Netherlands


Ammar Benabdelkader, Peter Boncz, Andrew Gibson, Frank van Harmelen, Ivan Herman, M. Scott Marshall, Marco Roos, Morris Swertz

Guest lecturers

Mark Wilkinson, Carole Goble, Katy Wolstencroft, Alan Ruttenberg


M. Scott Marshall, Marco Roos


Informatics Institute, F0.09, Science Park Amsterdam, the Netherlands


For participants without their own laptop with wifi we have limited hands-on facilities

Course credits and grading

The total studyload of the course is 3 EC. There will not be a written examination. Participants will get a final assignment to take home and finish in the weeks after the course.


Considering the complexity of biological systems it is not surprising that the management of life science information is one of the most challenging aspects of bioinformatics. For example, (medical) biologists have compiled over 17 million papers, and well over a thousand databases. In many cases finding and applying the information from these resources is far from trivial. In fact, a majority ends up on a formidable ‘data graveyard’ (how many of the >1000 databases do you know?). Following this course can help you prevent your data or your information management system to follow the same fate.

desdeNBIC: Netherlands Bioinformatics Centre – Information Management.

What are OWL Ontologies?

Ontologies are used to capture knowledge about some domain of interest. An ontology describes the concepts in the domain and also the relationships that hold between those concepts. Different ontology languages provide different facilities. The most recent development in standard ontology languages is OWL from the World Wide Web Consortium (W3C). Like Protege, OWL makes it possible to describe concepts but it also provides new facilities. It has a richer set of operators – e.g. intersection, union and negation. It is based on a different logical model which makes it possible for concepts to be defined as well as described. Complex concepts can therefore be built up in definitions out of simpler concepts.

Furthermore, the logical model allows the use of a reasoner which can check whether or not all of the statements and definitions in the ontology are mutually consistent and can also recognise which concepts fit under which definitions. The reasoner can therefore help to maintain the hierarchy correctly. This is particularly useful when dealing with cases where classes can have more than one parent.

Protégé user documentation

A Practical Guide To Building OWL Ontologies Using Prot´eg´e 4

and CO-ODE Tools

Edition 1.1


This guide introduces Prot´eg´e 4 for creating OWL ontologies. Chapter 3 gives a brief overview of the OWL ontology language. Chapter 4 focuses on building an OWL-DL ontology and using a Description Logic Reasoner to check the consistency of the ontology and automatically compute the ontology class hierarchy. Chapter 7 describes some OWL constructs such as hasValue Restrictions and Enumerated classes, which aren’t directly used in the main tutorial.

Protégé user documentation.


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