PRODUCT

Your Knowledge Democratization Platform

metaphactory transforms your data into consumable, contextual & actionable knowledge and drives continuous decision intelligence

Improve data literacy across the enterprise

Out-of-the-box, intuitive interfaces for searching, browsing & exploring your Knowledge Graph

Capture hidden expert knowledge in your knowledge model

Visual ontology modeling for domain experts & business users; Taxonomy & Dataset management

Build Knowledge Graph applications to match your enterprise requirements

Low-code approach to building custom interfaces that enable business-user interaction with the Knowledge Graph

Why metaphactory?

Flexible Knowledge Graph-driven platform delivering:

Low initial investment

Start small, iterate often & add new use cases, new data and new users on the fly

Flexibility

Knowledge Graph platform based on open standards

Fast time to value

Agile knowledge management & low-code platform for building applications

Risk mitigation

Ready-to-use enterprise product from proven vendor

Static products

Low match with needs
Expensive to adjust
Proprietary, closed system

Build your own

High risk
Long ramp-up
Unclear maintenance

Case studies

CASE STUDY - PHARMA & LIFE SCIENCES

Knowledge hub for science & clinical analytics at an American multinational pharma corporation

Using metaphactory, this American Multinational Pharma Corporation built a science and clinical analytics knowledge hub that supports researchers, sci...

CASE STUDY - ENGINEERING & MANUFACTURING

Smart turbine spare parts management at Siemens Energy

Siemens Energy application engineers leveraged metaphactory's low-code approach to build a smart turbine spare parts application that allows turbine s...

CASE STUDY - FINANCE & INSURANCE

Fraud detection at an international financial services provider

This international financial services provider used metaphactory to build a fraud detection knowledge graph app that helps fraud handlers to quickly i...

How does it work?

KNOWLEDGE GRAPH MANAGEMENT

Visual authoring, visualization, versioning & cataloging of ontologies, vocabularies, datasets & queries
Data validation, provenance & lineage

END-USER ORIENTED INTERACTION

Abstracted view
One-stop knowledge hub
Intuitive UI for knowledge discovery, exploration, analytics, authoring

KNOWLEDGE GRAPH APPLICATION BUILDING

Low-code platform
Powerful template engine
Large library of Web components
Easy customization

DATA INTEGRATION & FEDERATION

Unified view on distributed & heterogenous data sources: graph databases, relational databases, REST APIs, machine learning algorithms
Transparent SPARQL federation

MIDDLEWARE SERVICES

Dynamic data-driven REST APIs based on queries
Role-based access control
Lookup & Reconciliation
Tableau – Web Data Connector Endpoint

Compatible graph databases

Platform built on open standards

RDF Data Model

Standardized Data Model

Flexible, open standard for data respresentation

Ontology Language

Formal definition of your domain model which can be extended at any time

Vocabularies

Categorization and classification of data as hierarchical structures

Rules & Constraints

Definition of explicit cardinalities & constraints in the model for automated reasoning

Query Language

Flexible query language to specify graph-shaped information needs

Linked Data Platform

Open standards to support FAIR data incl. data publishing

Dataset descriptions

Dataset descriptions based on open W3C standards to make the data discoverable, accessible & traceable.

Data cataloging standards

Standardized metadata elements that offer expanded cataloging information.

Web Components

Extensive set of rich components for search, visualization, exploration & authoring

HTML Templates

Low-code application building using flexible templating engine

Microservice Packaging

Stateless, scale-out design that supports flexible environments

REST APIs

Dynamic publishing of queries as REST APIs

metaphactory features in a nutshell

Search

Search components featuring auto-completion and semantic disambiguation
Interactive search system based on a user-friendly graphical interface for expressive query construction
Support for full-text search indices to score and rank results for responsive auto-suggestion
Filters and facets for interactive and iterative query refinement and exploration
Clipboarding functionalities to organize knowledge and support sharing of both searches and search results
Search functionality utilizing controlled and structured vocabularies for synonym search and search across narrower terms in a category
Ability to search by synonyms and preferred labels
Inclusion of sub-terms in search results when searching for broader categories
Ability to reuse search results or sets in further search queries or combine them with new search queries

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Visualization

Rich set of components for interactive visualization and exploration of large knowledge graphs, including: interactive graphs, carousels, interactive tables, maps, charts, tree renderings and timelines
Visualization of data along different contextual dimensions, e.g., spatial and temporal dimensions
Browsing, filtering and sorting options available for all components
Ontology visualization
Multilingual interfaces

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Discovery & Exploration

Visualization of complex relations in interactive graphs
Pathfinding - Search for paths between nodes & interactively explore relations in a graph
Integration of rich snippets of information (Knowledge Panels) allowing for contextualized, in-page exploration of knowledge graph resources
Auto-layouts including manual refinement options and snap grids
Ability to create interactive diagrams and add them to reports or custom applications
Functionality to export diagrams into image and vector formats for scalable prints

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Authoring

Collaborative creation and editing of data through form-based authoring using customizable, flexible forms
Rich editing components for special data types
Auto-suggestion and validation against the knowledge graph
Capturing of provenance information

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End-user Knowledge Management

Semantic Clipboard allowing end users to create personalized information collections where they can store and organize named sets of knowledge graph items for reuse
Ability to drag and drop resources from the clipboard into search interfaces or visual graphs for reuse
Ability to save, download and share diagrams with other users

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Data Access Services

Repository Management - Vendor-independent proxy over multiple SPARQL 1.1 compliant data repositories including access control
Multiple W3C standardized HTTP data access interfaces with fine grained access control levels: SPARQL 1.1 Protocol, SPARQL 1.1 Graph Store HTTP Protocol, Linked Data Platform 1.0, RDF Publishing / Content Negotiation for individual resources
Hybrid federation services over heterogeneous data sources using the federation engine Ephedra
Transparent federation of multiple SPARQL endpoints under a single virtual endpoint using the federation engine FedX

Middleware Services

Query as a Service
- Ability to template queries and expose them during runtime as dynamic and parameterisable REST APIs for 3rd party application integration (e.g., Workflow Pipeline, Knime, R, etc.) with configurable output formats (JSON, CSV, RDF)
- Controlled access to published query results using access permissions, data hiding, and encapsulation
Tableau endpoint & further integration points for BI tools like Spotfire
Label service - ubiquitous access to human readable labels for knowledge graph resources
Description service - provides contextual information for a knowledge graph entity when exploring and searching data, e.g., for disambiguation purpose
Lookup service - provides an abstraction layer over keyword indices
Role-based access – all service endpoints are protected by the role-based access model and single sign-on (OAuth2, OpenId Connect, SAML2, LDAP)

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Model-driven Application Building

Powerful template engine to render knowledge graph instances pertaining to the same class/type in the ontology in a unified way
Rich set of built-in W3C Web Components using HTML 5 syntax for composing templates, application pages and dashboards declaratively
Web-based HTML editor with syntax highlighting
Interactive and multilingual applications are built on the fly (declaratively), without the need to change the source code
No-code wizards supporting application engineers in the application building process by allowing them to identify and visually select classes, relations and attributes from the ontology that are required to capture the end-users’ information intent
Individual elements in the resulting application can be customized by templating and parameterizing them through the powerful handlebars templating language
Customized user views depending on user roles and access permissions and ability to customize dashboards to a customer’s corporate look-and-feel

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Management of Knowledge Graph Assets

Ontology Modeling & Management
- Visual ontology editor based on a visual language and which delivers a user-friendly environment for ontology exploration, visualization, editing and documentation. The visual language translates to core elements of OWL and SHACL and results in an ontology based on open modeling and validation language W3C standards
- Ontology cataloging for search, versioning (Git) and metadata curation
SKOS Vocabulary Management
- Form-based creation and editing of SKOS vocabularies to capture business-relevant term lists and hierarchies (hypernyms and hyponyms) incl. management of multilingual synonyms and symbols
- Performant tree visualization of and search across term hierarchies
- Vocabulary cataloging for search, versioning (Git) and metadata curation
Data cataloging capabilities
- Creation, management, or import of existing dataset metadata at integration time, making such context metadata an integral part of the connected knowledge graph
- Support for DCAT and Dublin Core
- Exposure of dataset context information in end-user oriented search interfaces, knowledge panels, and custom dashboards

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Data & Query Engineering

One comprehensive solution for connecting, discovering and managing data across physical and virtual data repositories (or named graphs)
Support for data ingestion
Standard connectors for a variety of data formats
Low level data profiling, i.e., inspection of data types, data partitioning, statistics
Centralized management of namespaces and prefixes
SPARQL Query Editor: Contextualization, syntax highlighting, and auto-completion
Query Catalog: Ability to save and restore queries

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Data Quality

SHACL-based Rule Engine: Support for native SHACL rules to establish technical conformity of data
Integration with database native SHACL validation engines
Ability to define rules based on SPARQL queries to run checks and validations against custom business logic
Charts displaying high-level, visual aggregations are used to quickly assess current data quality status and trends over time, including previous data quality reports
Detailed violation reports allow for inspecting and drilling down to individual violations, e.g., to identify the knowledge graph resources violating a rule

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Get started today!

Product news

NEWS

metaphactory 4.5 supports tight interlinking between ontologies and vocabularies

We are happy to announce the release of metaphactory 4.5 which delivers tight interlinking between ontologies and vocabularies, a new faceted filterin...

NEWS

metaphactory 4.4 introduces flexible data cataloging capabilities to experience data in context

We are excited to wrap up a fruitful 2021 by announcing the release of metaphactory 4.4 which comes with new data cataloging capabilities, a new look ...

NEWS

metaphactory 4.3 delivers new pathfinding interface for investigative knowledge graph exploration & targeted problem solving

We're happy to announce the release of metaphactory 4.3 which comes with a new, intuitive pathfinding interface that supports end users both in explor...