Museum reasonableview

A Reason-able View of Linked A Reason-able View of Linked

Data for Cultural Heritage

Mariana Damova, PhD, Dana Dannélls

Introduction

Linked Open Data

combining facts and knowledge from different datasets is the

ultimate goal of the Semantic Web

Need for convincing real life use cases demanstrating the benefits

of these technologies

#2September 2011Museum Reason-able View

of these technologies

MacManus, the Founder and Editor-in-Chief of ReadWriteWeb

defined an exemplary test for the Semantic Web

cities around the world which have Modigliani art works

FactForge of Ontotext solves the Modigliani query


The cultural heritage domain can become a useful usecase for the application of semantic technologies.

http://factforge.net

Outline

• Linked Open Data – the Vision

• Reason-able View – Linked Open Data Management

• Museum Reason-able View – Data

• Museum Reason-able View – Environment

• Related Work


• Related Work

• Conclusion

Linked Open Data – the Vision

Tim Berners-Lee

graphs published on the web and explorable across servers in a manner similar

to the way the HTML web is navigated

Design principles of Linked Open Data

– Use URIs to identify things.

– Use HTTP URIs so that these things can be referred to and looked up

("dereferenced") by people and user agents.


("dereferenced") by people and user agents.

– Provide useful information about the thing when its URI is dereferenced, using

standard formats such as RDF/XML.

– Include links to other, related URIs in the exposed data to improve discovery of

other related information on the Web.

Linked Open Data Cloud


203 datasets as of september 2010

Outline





• Related Work


• Related Work

• Conclusion

Reason-able View – Linked Open Data Management

Using linked data for data management is considered to have great potential forthe transformation of the web of data into a giant global graph (Heath, & Bizer,2011). Still, there are several challenges that have to be overcome to make thispossible, namely:

• LOD are hard to comprehend;• Diversity comes at a price;


• Diversity comes at a price;• LOD is unreliable;• Dealing with data distributed on the web is slow;• No consistency is guaranteed.

Using reason-able views (Kiryakov et al., 2009a) – a solution to LOD management.

Reason-able View – Linked Open Data Management

• An approach for reasoning with and managing linked data

- an assembly of independent datasets, which can be used as a single body of knowledge with respect to reasoning and query evaluation

- lowering the cost and the risks of using specific linked datasets for specific purposes

• The linkage between the data- at the schema level


- at the schema level- at the instance level

• Accessible via- SPARQL endpoint- keywords

• Queries with predicates from different datasets• “Federated” results from different datasets

Outline





• Related Work


• Related Work

• Conclusion

Museum Reason-able View – Data

• Requirements:

- the ability to handle generic knowledge, such as people, institutions, and locations- the ability to handle specific subject domains, such as the cultural heritage and

museums


• Datasets covering the Generic Knowledge of the Museum Reason-able View.

- DBpedia - the RDF-ized version of Wikipedia, describing more than 3.5 million thingsand covers 97 languages.

- Geonames - a geographic database that covers 6 million of the most significant geographical features on Earth.

- PROTON - an upper-level ontology, 542 entity classes and 183 properties.

Museum Reason-able View – Museum Data Models

• CIDOC – CRMdeveloped by the International Council of Museum’s Committee for Documentation

(ICOM-CIDOC)

an upper-level ontology for cultural and natural historyfor museum professionals to perform their work well

90 classes and 148 properties


- Entity, Temporal Entity, Time Span, Place, Dimension, - Production, Creation, Dissolution, Acquisition, Curation


K-samsök, the Swedish Open Cultural Heritage (SOCH)

• a Web service for applications to retrieve data from cultural heritage institutions or associations with Cultural Heritage information.• includes features which are divided in the following categories:

- Identification of the item in the collection- Internet address, and thumbnail address- Description of the item- Description of the presentation of the item, including a thumbnail


- Description of the presentation of the item, including a thumbnail- Geographic location coordinates- Museum information about the item- Context, when was it created, to which style it belongs, etc.- Item specification, e.g. size, and type of the item – painting, sculpture and the like


MAO (Museum Artefact Ontology)link between K-samsök, CIDOC-CRM and real museum data


Museum Reason-able View – Gothenburg City Museum Data

8900 museum objects in two museum collections – GSM and GIM

39 properties describe each museum object

The Gothenburg city mueum data is integrated by using predicates from CIDOC-CRM, PROTON, MAO, and linkages to DBpedia


Outline





• Related Work


• Related Work

• Conclusion

Museum Reason-able View – Architecture


Process of triplification and localisation of GCM data in English.

Museum Reason-able View – Environment

• BigOWLIM

• Ontologies and data loaded with full materialization

– Dbpedia 3.6, Geonames 2.2.1, PROTON 3.0, CIDOC-CRM 1.0, MAO, GCM data

• 20% more retrievable statements than loaded explicit

statements (45%)

– 257,774,678 (explicit) -> 369,352,860


– 257,774,678 (explicit) -> 369,352,860

– 305,313,536 (retrievable) -> 815,608,338

• SPARQL endpoint– Museum artefacts preserved in the museum since 2005

– Paintings from the GSM collection

– Inventory numbers of the paintings from the GSM collection

– Location of the objects created by Anders Hafrin

– Paintings with length less than 1 m

– etc.

http://museum.ontotext.com

Outline





• Related Work


• Related Work

• Conclusion

Related Work

MAO – Finland

http://www.seco.tkk.fi/projects/finnonto/

Europeana – EU

http://www.europeana.eu/portal/

VUA – Amsterdam Museum with semantic technologies

within Europeana connect

British Museum – Research Space

just won tender funded by Melon foundation


just won tender funded by Melon foundation

Contribution of the paper:

First to link real museum data to LOD

First to use schema-level mapping to data integration in a specific domain like

cultural heritage

Outline





• Related Work


• Related Work

• Conclusion

Conclusion

Knowledge Representation Infrastructure

Method of managing linked data

Implementation of Museum Reason-able view

extendable with information from other Swedish museums

links to general knowledge from LOD datasets

Future work

Experiments with the Museum Reason-able view


Experiments with the Museum Reason-able view

Querying and Navigation

Extension of the data models, for example with a painting ontology

Querying structured information in natural language

Representing structured results in natural language

MOLTO, FP7-ICT-247914

Thank you for your attention!

Questions


Questions

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Technology

Museum reasonableview