ALIADA Project. AtCult

Automatic Publication under Linked Data
Paradigm of Library Data
Ivo Contursi
@Cult srl, Roma (Italy)
ivo.contursi@atcult.it
LuBeC, Lucca Beni Culturali
Lucca, Real Collegio, 9-10 Ottobre 2014

http://aliada-project.eu
2
Contents
• Open Data & Linked Open Data
• What is semantic web
• Linked Open Data advantages
• Usage of semantic web
• Published datasets
• Publishing data in the LOD cloud

3
What are we speaking about …
Open Data
&
Linked Open Data

4
The dawn of the digital universe
• From 2013 to 2020, the digital universe will grow from
4.4 trillion gigabytes to 44 zettabytes, or 44 trillion
gigabytes. It more than doubles every two years

5
Open Data & Linked Open Data today (1/2)
• In recent years, publishing and using open data has
seen an increasing spread worldwide
• Access to information, possible thanks to the open data,
has the potential to create significant economic
benefits, improving knowledge, awareness and
democratic participation of citizens and through this
facilitate and promote social change
• The Linked Open Data, in turn, provide an approach to
publishing Web-based data which promotes data
discovery, reuse and governance through the entire
lifecycle of data

Open Data & Linked Open Data today (2/2)
However, there remain some challenges and barriers
• cost of publishing resources
• required skills
• speed of publishing new datasets and updating existing
6
datasets
• cost of developing applications that use open data
• complexity of developing applications that use open
data
• reuse of open data
• …

7
Linked Data: definition
• The term Linked Data refers to a set of ‘best practices’
to publish and link data on the web
• Is used to describe a method to expose, share and link
data trough dereferenceable URI
• Technically Linked Data refers to data published on the
Web in a machine-readable, the meaning of which is
explicitly defined, linked to other external data sets, and
other external datasets may in turn refer
• Linked Data is part of Semantic Web

Linked Open Data as RDF statements
• Series of RDF (Resource Description Framework)
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statements
– Subject / predicate / object
– The statement is based on URI-s
Example
• Decameron was created by Boccaccio
– http://nektar.oszk.hu/data/manifestation/2804140
(Decameron)
– http://purl.org/dc/terms/creator (was created by )
– http://viaf.org/viaf/64002165 (Boccaccio)

Linked Open Data advantages
• The linked data is built on the current Internet
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architecture
• It is machine readable
• The data can be easily connected
• Represents data and not just text
• The RDF is not domain specific. It is a worldwide API
to data
– Galleries, libraries, archives and museums (GLAM) can step
outside of their domain, their data can interact with the data of
other domains

Usage of Linked Open Data
• Smart search
• Data enrichment
• Solving problems more easily
• Expressing difficult relationships
• Standards based on linked data
10

11
Linked Open Data are spreading
• Datasets in the LOD cloude
– Union Catalog of Sweden (LIBRIS)
– National Library of Hungary
– Biblioteca Nacional de España
– Yale Centre of British Art
– Italian museums
– British Museum
– Europeana (EDM)

12
Linked Open Data are spreading
• Datasets in the LOD cloude
– Union Catalog of Sweden (LIBRIS)
– National Library of Hungary
– Biblioteca Nacional de España
– Yale Centre of British Art
– Italian museums
– British Museum
– Europeana (EDM)

Dati aperti in Italia
Giugno 2014
www.dati.gov.it

Publishing linked data
• You have to be aware of the following
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– RDF representations (XML, Turtle, Json, etc)
– URI, IRI and their character encoding
– URI syntax
– Internet name resolution architecture
– HTTP communication

• You have to be aware of the following (cont)
16
– Vocabularies
• FRBRer
• CIDOC-CRM
• FRBRoo
• RDFDC
• RDA
• ISBD
• SKOS
• BIBO
• …

• You have to be aware of the following (cont)
17
– RDF stores
• Jena, Virtuoso
– SPARQL endpoints
• Fuseki
– How to register your dataset
– LOD email lists
– Data conversion
– Open data initiative
– Open data licencing methods
– …..

18
Guidelines for publishing Linked Data
(Methodological Guidelines for Publishing Linked Data - Boris Villazón-Terrazas, Asunción
Gómez-Pérez, and Óscar Corcho)

19
“ALIADA allows the automatic publication of high quality
metadata created by libraries and museums on the semantic web”
© 2014 Aliada Consortium
“The data published on the Semantic Web (Web 3.0) not only are
in the web, but are part of it and therefore its recovery and use is
more natural and effective ”

The Project
• ALIADA: Automatic publication under LInked DAta Paradigm
© 2014 Aliada Consortium 20
of library Data
• Project supported by the European Commision under the 7th
frame program
• 5 partners from 3 different countries ( Spain, Italy, Hungary)
• 2 IT companies :
- SCANBIT
- @CULT
- 2 art museums:
- ARTIUM
- Museum of Fine Arts Budapest
- 1 Research body with high skills in semantic technology:
- TECNALIA
• From November 2013 up to October 2015 (24 months)

Project motivation
• Libraries and museums aim to collect, preserve and
disseminate objects and resources that are part of the
heritage and memory (typically on local culture)
• They create and manage information and high-quality
metadata about those resources and cultural heritage
• They use a privative method of encoding information
and therefore are considered in the web "information
silos“
• As local institutions, have limitations to disseminate this
information by geographic access and language

ALIADA, the application
• It aims to overcome the limitations of the software
management and library collections when encode
metadata standard web format
• Allows automatic publication in the semantic web
of data created by libraries and museums
• Designed to be an "ally" to help libraries and
museums to get content that can interoperate with
others on the web to add value to their collections
and resources
• …

ALIADA, the application
• Oriented to non-expert users in linked data:
librarians, curators, IT staff ..
• Meets the standards used in libraries and museums
(MARC, FRBR, FRAD, LIDO, ...) and the Semantic
Web (RDF, SPARQL, ...)
• Open source
• Multilingual

WEB 1.0
(static, HTML, GIF, owner driven…)
WEB 2.0
(colaborative, XML, RSS, usability, standards…)
WEB 3.0
(intelligent, RDF, URIs, contents in context…)

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IT COMPANIES
LINKED DATA CLOUD
http://lod-cloud.net/
RESOURCES METADATA CREATORS
(Librarians, curators)
 Library
Management
System (ILS)
 Museum
Collection
Management
System (MMS)
 Content
Management
System (CMS)
ALIADA
BROWSERS
(GOOGLE)
OTHER PUBLIC
AND CULTURAL
INSTITUTIONS
© 2014 Aliada Consortium

http://aliada-project.eu aliada-project.eu/community
ALIADA, project plan
• November 2013: Project start
• December 2013: Public Web
• April 2014: specifications, ontology, design and architecture
• September 2014: Initial Workshop usability and technical
monitoring (internal)
• October 2014: 1st Prototype publication
• November 2014: Start of integration with systems
management and development of the second prototype
• May 2015: Intermediate workshop (external) Results
• October 2015: Final workshop (external) Results and final
prototype publication

http://aliada-project.eu aliada-project.eu/community
ALIADA 1st Prototype:
• Scheduled for October 30, 2014
• September 2014: internal testing to measure usability
and possible improvements
• November 2014: presentation to the experts of the
European Commission

Benefits of using linked open data in Cultural Industry
USER USE
Cataloging Agencies Reuse of metadata and authorities
Heritage and memory institutions Wider dissemination of their collections and
increased visits to their web platforms
Library Services Enrichment with reuse of open data
IT Developers and OS
Development Communities
Improvement and innovation of applications
from open data
Cultural Industry Improvement and innovation of applications
from open data
Browsers and Search Engines Enrichment of responses to requests for
information due to access to old "information
silos"
General public Retrieving relevant information from simple
queries

Some technical details
•Licensed under GPL V2
•Hosted on GitHub https://github.com/ALIADA/aliada-tool
•Freely downloadable and “fork-able”!
•Written in Java: JEE Web Application and application client
modules;
st
•First milestone (1
prototype) soon available
•Wide usage of popular open source frameworks
lApache Struts http://struts.apache.org
lApache Camel http://camel.apache.org
lApache Velocity http://velocity.apache.org
lSilk http://wifo5-03.informatik.uni-mannheim.de/bizer/silk
lFreelib-MARC4j http://projects.freelibrary.info/freelib-marc4j

First prototype content
• Data lifecycle full coverage
• Support for LIDO and MARCXML bibliographic
records
• Internal Domain Specific Language (DSL) for
conversion modularity and extensibility
• EFRBROO ontology for both formats
• Internal DSL
― By means of Apache Velocity
― High level of modularity with conversion templates
― Short learning curve for someone who wants to adopt
another ontology, or simply change / improve the
current mapping

Future improvements
• General usability improvements coming from
suggestions of usability workshops
• Full coverage of EFRBROO ontology
• Parallel chunk processing
• Performance and throughput of the overall
process

Feel free to give a try! In case you will be enjoying
ALIADA don't forget to star the project in GitHub and, of
course, send us your feedback!
@aliadaproject

ALIADA Project. AtCult

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