The ARIADNE interoperability framework, component architecture and registry service
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Transcript of The ARIADNE interoperability framework, component architecture and registry service
The ARIADNE interoperability
framework, component architecture
and registry service
Costis Dallas1,2,3 and Dimitris Gavrilis1
1 Digital Curation Unit-IMIS, Athena Research Centre 2 Department of Communication, Media and Culture, Panteion University
3 Faculty of Information, University of Toronto
{c.dallas,d.gavrilis}@dcu.gr
1
ARIADNE
Advanced Research Infrastructure for
Archaeological Dataset Networking in Europe
• 48 months
• 24 partners
• 17 work packages
• 8.464.000 Euros
2
What is ARIADNE about
• Very large number of digital datasets
– Various domains, periods, places
• Vast number of corpus available
• Bring together and integrate the existing archaeological
research data infrastructures
– Compare
– Re-use
– Integrate into current research
3
Objectives
• Community building
• Overcome fragmentation and provide interoperability
– Overcome linguistic barriers
– Address dataset interoperability
• Unified and homogeneous interfaces
– Provide a one-stop access point to Archaeological datasets
– Provide innovative tools for enriching content / visualizing content (2D/3D)
• Long-term preservation
– Also include “grey literature” primary data
• Development of innovative tools and services
– Multilingual searching
– Improved Conceptual Reference Model
• Creating a new generation of researchers
4
Dataset Integration
• Extend the
integration of
datasets:
– Geographic
extent
– Different
languages
• Standardizatio
n through
CIDOC-CRM
ontology
5
Addressing Complexity
• Special work package dedicated in extending CIDOC-CRM so that it
can handle complex entities and relations.
– Capture structural similarities
– Capture functional similarities
– Provide tools for reasoning
• Work in a mixed environment
– Legacy datasets
– Integrate existing datasets
– Variable complexity
6
Bibliography
• Bring-in existing bibliography – Grey literature
• NLP services – Mine texts (e.g. grey literature)
– Information extraction
– Automatic classification
7
Interoperability Framework
8
Interoperability Layer
Datasets
Vocabularies
Metadata
Collections
IPR
Services
Access/Admin API
Ingest Annotate Enrich . . . External Sources
Interoperability Services
Repository Services
Reasoning
Interoperability Framework
9
Interoperability Layer
Datasets
Vocabularies
Metadata
Collections
IPR
Services
Access/Admin API
Ingest Annotate Enrich . . . External Sources
Repository Services
Interoperability Services
Reasoning
Registry Catalog
10
Dataset Catalogs 1:N
Metadata Struct.
Record Struct.
Vocabularies Concepts 1:N
Elements 1:N
Registry Catalog
11
Dataset Catalogs 1:N
Metadata Struct.
Record Struct.
Vocabularies Concepts 1:N
Elements 1:N
CRM
Registry Workflow
12
mapping
temporary storage
ingest repository
revisions
aggregations
identity
version control
other criteria
export
harvester
ARIADNE Linked Data Cloud
Metadata providers
Original metadata (for: literature,
monuments, geo-data, scientific
datatsets, images, 3D)
OAI–PMH provider
Import/Web
Services
• Authentication / authorization
• Ingestion
• Indexing / retrieval
• Resource discovery
• Semantic annotation and linking
• Visualization (3D/VR)
• Repository services
• Long-term preservation services
13
Networking
• ARIADNE gives special focus on Transnational Access
and Training.
– Enable users to co-work with experts
– Allow effective use of the research infrastructure
– Support innovative investigations
14
15
ARIADNE is a project funded by the European Commission under the Community’s Seventh Framework Programme, contract no. FP7-INFRASTRUCTURES-2012-1-313193.
The views and opinions expressed in this presentation are the sole responsibility of the authors and do not necessarily reflect the views of the European Commission.