Does your organization struggle to reach scalable, data-driven business decisions?
Semantic knowledge modeling drives smart business decisions
metaphactory allows customers to capture explicit, domain-specific knowledge across functional and use case boundaries. Knowledge becomes a shared asset that is captured and published through one central portal and can be consumed by all relevant people, processes, or tools in the enterprise. This significantly increases data literacy and accelerates knowledge democratization.
Knowledge democratization with an enterprise knowledge graph at Boehringer Ingelheim
You need to bring business to [the ontology modeling] activity because IT folks lack the domain expertise, of course, and they cannot create this data model for you. Here we started using metaphactory’s visual modeling interface where users can create ontologies and taxonomies in a collaborative way.
Knowledge Graph Platform Lead, Boehringer Ingelheim
A glance behind the scenes
Platform built on open standards
metaphactory utilizes the following standards based on RDF, the flexible, open standard for data representation and storage.
Rules & Constraints
Data cataloging standards
Modeling of company and domain knowledge
» Capture everything from key organizational goals to business processes
» Interlink this information with business operations data, skills and competencies, partner and supplier ecosystem information, or any other domain relevant within the enterprise where relevant knowledge needs to be explicitly modeled
Results: Improve data literacy across the organization and leverage critical domain knowledge for business decisions
Utilization & extension of public ontologies & vocabularies
» Utilize public knowledge, from simple term lists to complete domain models
» Allow for reuse of this knowledge while extending with own terms and definitions & expanding the models into other domains
Results: Extract valuable knowledge from public data sources, foster reuse of internal knowledge, and achieve enterprise-wide & cross-organizational alignment on the concepts and terms, and enable pre-competitive data sharing
Modeling compliant with ISO-IEC standards
» Modeling compliant with ISO-IEC standards
» Follow ISO/IEC standards like ISO 15926, AAS, OPC-UA, and others
» Benefits from a layered approach for standard-compliant & sharable information down to proprietary knowledge defined in domain specific extensions
Results: Ensure interoperability, accessibility, findability, shareability, and reusability of semantic models and deliver one central inventory / digital twin for reuse throughout the whole lifecycle of an asset and for sharing with (sub-)contractors, partners, OEMs, or suppliers