CULTURAL HERITAGE & HUMANITIES

Solutions that drive knowledge democratization

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Use cases

metaphactory provides an agile solution that can help increase public access to data, delivers a flexible approach to data publishing, and supports cross-disciplinary collaboration and knowledge creation

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PUBLIC-FACING DISCOVERY INTERFACE

End users from the general public can intuitively and interactively explore existing data collections along relations in the graph and benefit from flexible search interfaces featuring auto-completion, semantic disambiguation, and faceted filtering.

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OPEN LINKED DATA PUBLISHING

Data is organized in a flexible, open format and modeled using standardized ontologies, it becomes human- and machine-understandable, and can be made available to other institutions for cross-disciplinary collaboration.

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SCIENTIFIC DISCOURSE MODERATION

Domain users can create assertions, visualize narratives about resources in the graph, collaborate with other researchers to analyze their work using semi-formalized arguments, and reach agreements, therefore, providing vital information for improving 'canonical' institutional data.

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KNOWLEDGE GRAPH-ASSISTED DATA CURATION

Intuitive authoring interfaces powered by the underlying, standardized ontologies and controlled vocabularies guide domain experts through a structured data curation process and data publication workflow which helps improve overall data quality.

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REFERENCE DATA MANAGEMENT & RECONCILIATION

Interconnected reference data sets provide advantages such as entity disambiguation, contextualization, and multilingualism and help support consistent cataloguing, intuitive data interaction, or compatibility with other data collections.

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MODEL EXTENSIONS AND VOCABULARY MANAGEMENT

Public, controlled vocabularies and data models for describing domain-specific knowledge – such as CIDOC-CRM, Bibframe, schema.org – can be extended with domain-specific and use case-specific concepts and relations.

Customers in Cultural Heritage & Humanities

Challenges

in mastering the complexity of data

Domain experts do not have the necessary tools for publishing research results in an open format for reuse.

Organizations struggle to remove existing barriers related to proprietary data formats and access standards and explore research work as structured, open, linked data.

Integration of public data sources such as AAT, GND, ULAN or Wikidata with own research data is cumbersome.

Researchers do not have access to detailed, fine-grained data rich with provenance information.

Public data is not exposed to the general public through abstracted and intuitive end-users interfaces.

Scientific discussions and supporting arguments that lead to the generation of new knowledge are not exposed to domain experts.

Solutions

that empower domain experts and end users

metaphactory’s intuitive authoring interfaces guide domain users through a structured data curation process, while integrated workflows ensure data quality.

Controlled vocabularies and standardized ontologies drive auto-suggestion in form interfaces, allowing domain users to capture their research results in an open, linked data format.

With metaphactory, datasets consisting of potentially conflicting information can be integrated, reconciled, and curated, mapped to own research data, and published in an open format for reuse in other domains or sub-domains.

With metaphactory, dataset metadata is managed in the knowledge graph alongside instance data, providing domain users with trustworthy information on lineage and provenance.

metaphactory's out-of-the-box search and discovery capabilities allow end users to immediately extract valuable knowledge from publicly available data.

metaphactory supports scientific discourse moderation allowing researchers with differing opinions to present their arguments, discuss and collaborate with peers, extract the provenance of conflicting arguments, track on-going discussions, and understand how decisions were reached.

Customized views on your data for diverse user groups

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Researchers
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Historians
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Metadata librarians
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Art experts
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Professors
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General public

Success stories

How does it work?

Create

Knowledge Graphs with domain experts

metaphactory commoditizes Knowledge Graphs, making the technology and its benefits accessible not only to knowledge graph experts but also to domain experts and end users. It supports the process of making data FAIR (Findable, Accessible, Interoperable, Reusable) and enables a collaborative Knowledge Graph creation process where all relevant stakeholders can:

  1. Model core domain concepts and relations based on specific user needs and in a machine- and human-interpretable format
  2. Map existing internal and publicly available data to the domain model
  3. Describe data sources and document provenance and lineage to build data reliability

Build

Knowledge Graph apps rapidly

Through its low-code approach built on a model-driven template mechanism and a rich set of ready-made Web components, metaphactory allows you to quickly build an intuitive user experience on top of your Knowledge Graph to:

  • Search, filter and drill down
  • Discover, visualize and explore relations
  • Build insightful dashboards
  • Share results with colleagues
  • Add and edit data

As things change, metaphactory allows you to add new datasets, new data definitions and new concepts to support new data domains, new user groups and new projects.

Get started today!

Resources