Creating the Cultural Heritage Knowledge Graph


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ResearchSpace Project read more

ResearchSpace Training & Consultancy read more

  • ResearchSpace meets Salamis Terracotta Statue Fragments using CIDOC CRM An example semantic search from ResearchSpace being used on the Horizon 2020 project GRAVITATE ( - Bringing together Ancient fragments from Salamis in Cyprus. 
    Posted 28 Sep 2015, 08:54 by Dominic Oldman
  • CIDOC CRM Mapping workshop at Oxford University CIDOC CRM Mapping workshop for humanities scholars and cultural heritage professionalsInaugural European workshop hosted at University of Oxford e-Research Centre Monday 9th & Tuesday 10th November 2015-Aimed at ...
    Posted 28 Sep 2015, 04:47 by Dominic Oldman
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Academic & Cultural Heritage Partners

Oxford Cultural Heritage Program -


Current Technology Partners

The ResearchSpace project is developing a collaborative environment for humanities and cultural heritage research using knowledge representation and Semantic Web technologies. The project includes work to;

  • Provide accessible methods for utilising the CIDOC CRM standard and official extensions.

  • Integrate heterogeneous data without losing meaning or perspective

  • Create a Contextual Search System and other collaborative tools

See out project pages for more details (tba) 

Who's Using CIDOC CRM

Some projects are highlighted on this site - click here

Other projects that use CIDOC CRM are posted on the at

Talk to us about contextual search systems & CIDOC CRM Training 

The ResearchSpace Team can offer consultancy for organisations and projects particularly on knowledge representation, Linked Data and Semantic Web techniques as well as a range of other digital research methods like natural language processing. The team are uniquely placed within the British Museum possessing considerable knowledge and experience with access to a wide range of cross  disciplinary expertise.

  • Triple/Quad and Graph databases (as well as traditional relational systems).
  • Semantic Web publication. Specialists in Semantic Search solutions.
  • Semantic (Linked Data) open source software development. 
  • CIDOC Conceptual Reference Model and other established ontologies.
  • Ontology implementation and design.
  • Data mapping and transformation.
  • Natural Language Processing
  • Design and specifications transforming traditional approaches into practical Semantic Web applications.
  • Specialist Project Management.
Contact Sarah Mengler on tel: 0207 323 8809

Read more.


ResearchSpace & the CIDOC CRM read more

Quality Data Representation

Realizing Lessons of the Last 20 Years: A Manifesto for Data Provisioning & Aggregation Services for the Digital Humanities (A Position Paper)

Open Data Institute

British Museum CIDOC CRM SPARQL Endpoint receives perfect score from Open Data Institute in comparison of Cultural Heritage open datasets.

The ResearchSpace development uses the CIDOC Conceptual Reference Model (CRM). This means that data from many different sources can be integrated, but while access to the data is homogeneous, the data itself retains its individual characteristics, original meaning and perspectives. This provides the ideal environment for research and allows analysis at both micro and macro levels. The CRM is an ontology that represents reality and ha
s been empirically designed to support humanist discourse employing event based object orientated event based modelling that can harmonise knowledge and different levels of detail.  The CRM Family now covers:
  • CRM: Conceptual Reference Model.
  • FRBRoo: Bibliographic References.
  • PRESSoo: Periodicals.
  • CRMinf: Argumentation Model.
  • CRMsci: Scientific Observation Model.
  • CRMdig: Digital Provenance Model.
  • CRMgeo: Spatiotemporal Refinement.
Read more.

British Museum (Contectual) Linked Data

Quality Linked data
The British Museum's CIDOC CRM contextual linked data rated the highest quality in a survey of open access cultural heritage information by the Open Data Institute. See

The CIDOC CRM represents the British Museum's data completely and, unlike other standards that fit data into a common and fix set of data fields, all the meaning contained in the Museum's source data is retained. This represents the only way in which museums can represent all their knowledge for meaningful integration, essential for serious research, support highly precise cross organisational data discovery and semantic relationships.