METAPHACTORY

Precisely what you're looking for

Discover and leverage the knowledge
within your data

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Build model-driven apps

Model-driven app-building makes use of all the benefits of a semantic knowledge model, delivering dashboards with superior insights, flexibility & integration, and countless possibilities.

Quickly build apps that use context-rich data and support advanced data exploration via interactive visual interfaces. Or apps that simplify tasks and help save you significant time and stress, such as for master data management or data validation use cases.

Extract actionable insights from your data

There are valuable insights buried within your data—insights you can use to drive smart business decisions or power intelligent applications—you just need the right tools to get them out.

Connect and transform the data locked in silos into actionable knowledge through out-of-the-box interfaces. Surface deeper insights and discover hidden connections. Search and locate the information you need in your data with precision and speed. With knowledge graphs and AI.

Validate new use cases with rapid prototyping

Test and validate new ideas before risking significant time or cost investment.

Testing new use cases can be costly, especially when it only reveals that the use case isn’t viable. Develop a working prototype rapidly based on a semantic knowledge model that can help you visualize and test your idea’s potential while staying lean and agile.

Explore your data, discover knowledge

Having insights embedded with relevant context can make all the difference when it comes to your business. These insights can help you make high-impact decisions with confidence, easily find critical information and even inform the success of new innovations. metaphactory boosts this knowledge discovery sharing with interactive visual interfaces, conversational interfaces and advanced semantic search. It allows flexible exploration of your data, helps you quickly pinpoint information you need, and transforms data into consumable, shareable knowledge.

Your benefits with metaphactory

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ACTIONABLE INSIGHTS

Build a human-understandable view of your data through intuitive search, discovery and AI-driven interfaces, while also making it machine-understandable, therefore delivering actionable insights that can help drive business decisions.

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DATA IN CONTEXT

Abstract from the underlying complexity of a knowledge graph and consume data in context, while connecting the dots between individual pieces of information.

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OUT-OF-THE-BOX DISCOVERY INTERFACES

Make use of a rich set of ready-made search, exploration, visualization and authoring interfaces and a default app, allowing you to connect to an existing knowledge graph and visualize it out-of-the-box.

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AI-DRIVEN KNOWLEDGE DISCOVERY

Lead contextualized conversations with your data & knowledge. Our LLM-driven conversational interface interprets the user’s intent from their natural language query and selects the adequate integrated AI tools to answer questions and render results.

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MODEL-DRIVEN & LOW-CODE

Quickly build intuitive apps for knowledge consumption and creation on top of your knowledge Graph by leveraging the underlying model of the knowledge graph and metaphactory’s low-code, model-driven approach.

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AGILE & ITERATIVE

Take an iterative approach to app building with metaphactory’s low-code mechanism. Because the apps you build with metaphactory are model-driven and application logic is not hard-coded, when your data or your model change, your dashboards are updated automatically.

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Proven solution

Smart turbine spare parts management at Siemens Energy

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The key advantage of metaphactory was that we could easily visualize our data during development for early feedback from the business allowing data quality improvements, and fast and target-focused development of our data model and application.

Paul Zolnowski

Section Lead - Post Documentation, Siemens Energy

Data choke points resolution for smart meter operations at BKW

The low-code environment provided by metaphactory sped up the app building project at BKW by 4-10x. "It's almost like you have two or three developers in addition [to] your team when you use this low-code environment on top."

Peter Hutzli

Formerly: IT Responsible - Energy Metering, BKW Energie

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Detection and tracking of market-moving events at Ontotext

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With metaphactory, we were able to reduce development time by 50%. This project would have taken approximately six months to complete, including back-end development and visual web application.

Antoniy Kunchev

Application Engineer, Ontotext

Happy customers

Case studies

CASE STUDY
How Ontotext leveraged metaphactory to develop its new risk and event detection platform.   Detecting & tracking market-moving events with ...

CASE STUDY - CULTURAL HERITAGE & HUMANITIES
metaphacts and Ontotext have built a joint knowledge graph-powered solution that offers improved user experience for both data curators and library vi...

BLOG POST
In this guest post, Felix Engel and Stefan Schlager explain how metaphactory was used as the development framework for AnthroGraph and how the resulti...

BLOG POST
In this blog post, we talk about how we created a knowledge graph-powered out-of-box metaphacts Resource Hub that integrates with our content manageme...

BLOG POST
This blog post is a recap of a presentation held at the 2023 Knowledge Graph Symposium about BKW Energie's smart meter operations, the data challenges...

NEWS

June 23, 2022

The German Federal Joint Committee (GBA) has the task of promoting new forms of care projects provided by statutory health insurance as well as health...

CASE STUDY - PHARMA & LIFE SCIENCES
The target discovery application built with metaphactory on top of the customer's knowledge graph empowers data scientists, immunologists or systems b...

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

CASE STUDY - ENGINEERING & MANUFACTURING
Siemens AG is one of the leading providers of factory automation solutions and components as well as Manufacturing Execution Systems and Product Lifec...

PROJECT INSIGHTS - MEDIA & PUBLISHING
This large Swedish media company leveraged metaphactory to provide a unified GDPR compliance monitoring app for all relevant internal databases. Using...

PROJECT INSIGHTS - BUSINESS
metaphactory is used by a global provider of insurance products to semantically model their domain and power intuitive end-user applications for risk ...

A glance behind the scenes

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Conversational interface

  • LLM-driven conversational interface allows end users to lead contextualised conversations with the graph
  • The conversational interface is enabled by a range of tools and services that allow answering queries of different kinds over the knowledge graph, including the generation, refinement and execution of structured queries from natural language (NL2SPARQL) as well as answering unstructured queries using a RAG-approach (Retrieval Augmented Generation)
  • Depending on the user question, the conversational interface selects and orchestrates the adequate services to answer the question and render the results in natural language or various visualization modalities using metaphactory’s built-in components (semantic tables, lists, charts, etc.)

Search

  • Semantic search caters to both explorative and targeted information needs and supports diverse search paradigms and data modalities
  • Filters and facets for interactive and iterative query refinement and exploration
  • Support for full-text search indices to score and rank results for responsive auto-suggestion
  • Search functionality utilizing controlled and structured vocabularies for synonym search and search across narrower terms in a category
  • Inclusion of sub-terms in search results when searching for broader categories
  • Clipboarding functionalities to organize knowledge and support sharing and reuse of both searches and search results
  • Pathfinding - Search for paths between nodes and interactively explore relations in a graph

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
  • Visualization of semantic models
  • Native support for multilingual data

Interactive exploration

  • Visualization of complex relations in interactive graphs
  • Pathfinding - Search for paths between nodes & interactively explore relations in a graph
  • In-page rich snippets of information (Knowledge Panels) allowing for contextualized exploration of individual resources
  • Auto-layouts including manual refinement options and snap grids
  • Ability to create interactive diagrams and add them to reports or custom applications

Authoring

  • Collaborative creation and editing of instance data using flexible & model-driven semantic forms
  • Visual data curation interface allows end users to create, edit and connect instance data entities using the interactive graph component
  • Composite inputs for semantic forms allows for the inline creation of new entities
  • Rich editing components for special data types
  • Auto-suggestion and validation against the knowledge graph
  • Capturing of provenance information
  • Automatic form setup and model-driven configuration

Personal & collaborative knowledge organization

  • Semantic Clipboard allows 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 diagrams, add them to custom applications, download them as image or vector formats, and share them with other users

Model-driven application building

  • Model-driven setup and configuration of metaphactory's out-of-the-box search, visualization and exploration components
  • No-code wizards to identify and visually select classes, relations and attributes from the semantic model that are required to capture the end-users’ information intent
  • Rendering of knowledge graph instances pertaining to the same class/type in the semantic model in a unified way, using metaphactory’s template engine
  • Rich set of built-in W3C Web Components using HTML 5 syntax for composing knowledge graphs apps and dashboards declaratively
  • Web-based HTML editor with syntax highlighting
  • Declarative building of interactive and multilingual applications, without the need to change the source code
  • 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
  • Role-based access using Single Sign-On (SSO), with, for example, OpenID Connect (OIDC), OAuth, Security Assertion Markup Language (SAML), and JSON Web Token (JWT)
  • Ability to adjust dashboards to a customer’s corporate look-and-feel

Platform built on open standards

metaphactory's generic approach based on open standards offers great flexibility in different industries and supports interoperability and reusability across use cases and business functions.

RDF

RDF Data Model

Standardized Data Model

Flexible, open standard for data respresentation

OWL

Ontology Language

Ontology Language

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

SKOS

Vocabularies

Vocabularies

Categorization and classification of data as hierarchical structures

SHACL

Rules & Constraints

Rules & Constraints

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

SPARQL

Query Language

Query Language

Flexible query language to specify graph-shaped information needs

W3C

Linked Data Platform

Linked Data Platform

Open standards to support FAIR data incl. data publishing

W3C DCAT

Dataset descriptions

Dataset descriptions

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

Dublin Core

Data cataloging standards

Data cataloging standards

Standardized metadata elements that offer expanded cataloging information

Web components

Web Components

Web Components

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

HTML 5

HTML Templates

HTML Templates

Low-code application building using flexible templating engine

Docker

Microservice Packaging

Microservice Packaging

Stateless, scale-out design that supports flexible environments

REST APIs

REST APIs

REST APIs

Dynamic publishing of queries as REST APIs

Get started with metaphactory for free and build a knowledge-centric & AI-ready enterprise!

Insights & knowledge discovery resources