SEMLIB
Semantic tools for digital libraries
| Coordinatore | NET7 SRL
Organization address
address: VIA MARCHE 10 contact info |
| Nazionalità Coordinatore | Italy [IT] |
| Totale costo | 921˙283 € |
| EC contributo | 701˙579 € |
| Programma | FP7-SME
Specific Programme "Capacities": Research for the benefit of SMEs |
| Code Call | FP7-SME-2010-1 |
| Funding Scheme | BSG-SME |
| Anno di inizio | 2011 |
| Periodo (anno-mese-giorno) | 2011-01-01 - 2012-12-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
NET7 SRL
Organization address
address: VIA MARCHE 10 contact info |
IT (PISA) | coordinator | 207˙459.60 |
| 2 |
Liberologico Srl
Organization address
address: Via Gozzini 15-17 contact info |
IT (PISA) | participant | 180˙299.60 |
| 3 |
IN2 SEARCH INTERFACES DEVELOPMENT LIMITED
Organization address
address: GREAT HAMPTON STREET 69 contact info |
UK (BIRMINGHAM) | participant | 180˙286.95 |
| 4 |
KNOWLEDGE HIVES SP ZOO
Organization address
address: ROKITNIKOWA 11 contact info |
PL (GDYNIA) | participant | 127˙133.10 |
| 5 |
NATIONAL UNIVERSITY OF IRELAND, GALWAY
Organization address
address: University Road - contact info |
IE (GALWAY) | participant | 3˙200.00 |
| 6 |
UNIVERSITA POLITECNICA DELLE MARCHE
Organization address
address: PIAZZA ROMA 22 contact info |
IT (ANCONA) | participant | 3˙200.00 |
Mappa
Word cloud
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
Obiettivo del progetto (Objective)
'The SMEs partners of SEMLIB all have their own products to develop and manage Digital Libraries, Archives and Digital Object Repositories, which are central components for many IT systems. The main objective of SEMLIB is to enhance these products with two Semantic Web components, a recommender system and an annotation system, developed by the RTD performers. The inclusion of these components into the SME products will make it possible to join the digital libraries powered by the SME products into federations and to exploit existing data on the Semantic Web made available by third parties. This will significantly enhance the end-user experience and give a distinct competitive advantage to the SMEs.'
Introduzione (Teaser)
New software solutions make searching digital libraries easier and more productive.
Descrizione progetto (Article)
A digital library is any computerised system that distributes digital content to a community of users. Most digital libraries have twin functions of storing and preserving content, and delivering it to end users. These may be humans or other software applications.
Often, however, digital libraries incompletely utilise modern technology, imposing bottlenecks and inefficiencies on their potential use. Semantic web technologies offer solutions by improving searchability for humans, and assisting software to track connections and links. These relatively new technologies have yet to be fully adopted by the digital library market.
One EU-funded initiative aimed to support European small and medium-sized enterprises (SMEs) by helping them improve their services through semantic web technologies. The 'Semantic tools for digital libraries' (SEMLIB) project was a collaboration among one Irish and one Italian university, and four SMEs. It began in 2011, securing funding for 24 months. Its three main goals included developing software tools that facilitate export and republishing of metadata, exploit the republished metadata, and use it to improve searching and browsing.
The collaboration resulted in two new software tools. The Pundit web annotation system allows users to annotate web pages, and to link those notes to other web pages or web objects. This creates a network of linked web objects, a potentially valuable resource showing connections and structure in apparently unrelated objects. It may, for example, be used as an individual or collaborative research tool, drawing together snippets of related information from various web sources. Pundit is open-source software. SLDR is a linked data recommendation system. It is essentially a database of related objects, which uses semantic engines to recommend additional similar content. The system will intelligently extrapolate from input search terms to suggest other terms, similar to what the user intended.
The SEMLIB project achieved its aims, and has implemented its software tools as demonstrative applications for four European SMEs. The software brings clear advantages to these SME contexts, and helps improve their services.