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.