SIG.MA

The Data Intensive Infrastructure group (DI2) released Sig.ma, a browser, a mashup generator andan API for the web of data.

Watch the screencast : Sig.ma - Live views on the Web of Data from Sindice Team.

Sig.ma is an experimental application that consumes and visualizes the "Web of Data". Users can navigate and create mashups with information about any entity coming from possibly dozens of different but relevant sites.

Sigma is Powered by Sindice, a Semantic Web API and is developed as part of the work of the Data Intensive Infrastructure research group at the DERI Institute, National University of Ireland Galway.

ULDis - The Universal Link Discovery Client

ULDis allows - based on an abstract resource discovery vocabulary and
automated descriptor converter - to perform discovery independent of the
underlying descriptor (that is XRD, POWDER, or voiD).

A interesting thing about ULDis is that it combines resource descriptor
discover (voiD, POWDER) on the semantic web and the HTML document web
(POWDER, XRD).

SIREN 0.1

The Data Intensive Infrastructure unit has announced the first public version of SIREn (Semantic Information Retrieval Engine).

SIREn, the Information Retrieval system at the core of the Semantic Web Index Sindice, is now available for download and includes the full source under Apache License 2.0. SIREn is based on best practices and our own experience in solving large-scale semi-structured data search. Our goal is to bring the benefits of state-of-the-art techniques for semi-structured Information Retrieval into Lucene / Solr, and to provide a full-featured search engine for semi-structured data.

This is our first release, and by no means you should consider it feature complete or final. There is still much work to do, such as improved ranking and new indexing schemes, but we believe it to already be reasonably stable and useful in its current form.

Some examples of the possibility are:
- indexing plain n-triples documents,
- indexing entity-centric RDF description,
- indexing tabular data (IMDB)

Source distributions are available and any and all feedback is welcome.

DERI on PlanetRDF

DERI's Blog is now syndicated on PlanetRDF. Hello and Welcome to our new readers !

planetrdf.com

New video on DERI's YouTube channel  - one minute inside DERI - #1 What is DERI? by Stefan Decker

We are pleased to announce this new set of video "one minute inside DERI". one minute inside DERI aims to give you an overview about what we are doing in the Institute. The first video is the presentation of DERI's goal, research approach, standardisation activities and Industrial Partners by Prof. Dr. Stefan Decker.

[youtube VSOVCDsNUow nolink]

www.youtube.com/user/DERIGalway

New publication: "Exploiting Linked Data to Build Web Applications" Michael Hausenblas

Semantic Web technologies have been around for a while. However, such technologies have had little impact on the development of real-world Web applications to date. With linked data, this situation has changed dramatically in the past few months. This article shows how linked data sets can be exploited to build rich Web applications with little effort.

http://doi.ieeecomputersociety.org/10.1109/MIC.2009.79

Innovative Enterprise Architecture Education and Training Based on Web 2.0 Technologies - EATrain2

DERI is a partner in a new eLearning EU project: EATrain2 . EATrain2 kicked off in January 2009. It aims to fulfil the training and educational needs of students and employees in the public and private sector regarding Enterprise Architecture (EA), using innovative problem-based pedagogies and Web 2.0 approaches. EATrain2 aims at achieving five specific key objectives as follows:

• To determine the profile of an Enterprise Architect by identifying the required competencies (skills, knowledge and attitudes).
• To determine the required EA competencies that university students, public servants and private sector employees need to acquire in order to become competent Enterprise Architects.
• To identify new training and teaching methods based on Web 2.0 technologies and active, problem-based learning approaches.
• To develop a Web 2.0 EA learning platform and course models for university students and employees. The foreseen training courses will be created in English and will be translated and adopted in German, Greek and Polish.
• To undertake pilot trials for private sector employees, public servants and university students.

DERI's role in this project is to develop a Web 2.0 EA learning platform to support the developed methodology and underpin the training and learning processes.

www.eatraining.eu

DERI Tutorial's Videos

On the link below, most of the DERI's Tutorial videos are available. The DERI Tutorial's goal of the first series was to give fundamental lectures in the core topics of the different research units within DERI which shall serve to bring all researchers up-to-speed with basics.