METAPHACTORY

metaphactory supports knowledge graph management, rapid application development, and end-user oriented interaction. metaphactory runs on top of your on-premise, cloud, or managed graph database and offers capabilities and features to support the entire lifecycle of dealing with knowledge graphs. metaphactory’s generic approach based on open standards offers great flexibility in different usage scenarios and across various industries and application areas.

KEY ADVANTAGES OF METAPHACTORY

KNOWLEDGE GRAPH MANAGEMENT

Standard connectors for a variety of data formats to integrate and interlink heterogeneous data sources
Graphical SPARQL Endpoint UI for easy querying and management of saved queries in a query catalog
Authoring of ontology and instance data for better model management and data quality assurance
User and access control mechanisms for fine-grained security

RAPID APPLICATION DEVELOPMENT

Declarative Web components for end-user interaction, which can be set up and combined in minutes, enabling rapid & agile prototyping and development of new applications
"Query as a Service" - Dynamic REST services to interface and integrate with third-party applications
Full-fledged Linked Data platform allowing for fast data integration and linking

END-USER ORIENTED INTERACTION

End-user friendly navigation, exploration and visualization of Knowledge Graphs
Rich semantic search with visual query construction and faceting
Customizable semantic clipboard
Authoring and editing for end users
Everything with a standard Web browser

KEY ADVANTAGES OF METAPHACTORY

KNOWLEDGE GRAPH MANAGEMENT

Standard connectors for a variety of data formats to integrate and interlink heterogeneous data sources
Graphical SPARQL Endpoint UI for easy querying and management of saved queries in a query catalog
Authoring of ontology and instance data for better model management and data quality assurance
User and access control mechanisms for fine-grained security

RAPID APPLICATION DEVELOPMENT

Declarative Web components for end-user interaction, which can be set up and combined in minutes, enabling rapid & agile prototyping and development of new applications
"Query as a Service" - Dynamic REST services to interface and integrate with third-party applications
Full-fledged Linked Data platform allowing for fast data integration and linking

END-USER ORIENTED INTERACTION

End-user friendly navigation, exploration and visualization of Knowledge Graphs
Rich semantic search with visual query construction and faceting
Rich editing components for special data types
Customizable semantic clipboard
Authoring and editing for end users
Everything with a standard Web browser

METAPHACTORY ARCHITECTURE

metaphactory serves various target groups - expert users, developers, and end users. Expert users benefit from easier data management, while developers can easily build apps customized for their own domain and target group. End users enjoy our user-friendly interfaces and can interact with the knowledge graph without being exposed to any complexity.
metaphactory runs on various on-premise or cloud-based SPARQL 1.1 graph databases.

METAPHACTORY ARCHITECTURE

metaphactory serves various target groups - expert users, developers, and end users. Expert users benefit from easier data management, while developers can easily build apps customized for their own domain and target group. End users enjoy our user-friendly interfaces and can interact with the knowledge graph without being exposed to any complexity.
metaphactory runs on various on-premise or cloud-based SPARQL 1.1 graph databases.

END-USER ORIENTED INTERACTION

End users look to quickly find relevant information and gain access to context-aware insights for their daily tasks. metaphactory, a domain-independent and fully customizable platform, delivers business value by translating raw data into knowledge and allowing end users to easily access the information they need and incorporate it into their daily tasks and decisions.

SEARCH

Search components featuring auto-completion and semantic disambiguation
GraphScope – Search engine for smart data combining the simplicity of keyword search with the precision of database queries
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 and sharing of both searches and search results

VISUALIZATION

Rich set of components for interactive visualization and exploration of large knowledge graphs
Graphs - visualization of complex connections between entities
Carousels - animated browsing through a list of results
Maps - rendering of spatial data on a geographic map
Tree rendering - for tree-based visualization, navigation and browsing through sub-tree structures
Charts - visualization of trends and relationships between numbers, ratios or proportions
Tables - including filtering and sorting options, and flexible cell and grid layouts
Timelines - interactive visualization of temporal data
Ontology visualization
Multilingual interfaces

DISCOVERY & EXPLORATION

Complex relationships are visualized in interactive graphs
Releationship Finder - Automatic and visual expansion of paths between nodes in a graph
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

Relationship Finder: Automatic and visual expansion of paths between nodes in a graph

AUTHORING

Collaborative creation and editing of data
Form-based authoring using customizable, flexible forms
Rich editing components for special data types
Auto-suggestion and validation against the knowledge graph
Specialized components for text and image annotations, based on the W3C Open Annotation Data Model
Capturing of provenance information

RAPID APPLICATION DEVELOPMENT

Using metaphactory, developers build new end-user oriented applications on top of the knowledge graph; they create and publish customized dashboards delivering information relevant to their target group and enable easy and interactive exploration and visualization of the knowledge graph. metaphactory supports developers through its extensive feature set, including a variety of Web components for visualization and authoring, dynamic REST services, ontology repository, and access control capabilities.

DATA ACCESS SERVICES

Vendor-independent proxy over multiple SPARQL 1.1 compliant data repositories
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

DYNAMIC REST APIs: QUERY AS A SERVICE

Query results are exposed as a service for 3rd party application integration
Common/Standard information needs (user queries) can be templated and exposed during runtime as dynamic and parameterisable REST APIs
Result data can be retrieved from 3rd party applications (e.g., Workflow Pipeline, Knime, R, Tableau, etc.) using standard HTTP mechanisms
Multiple output formats (JSON, CSV, RDF) for visualization and data mining purposes
Controlled access to published query results using access permissions, data hiding, and encapsulation
Unified access over heterogeneous data sources with QaaS and the federation engine Ephedra: define a query spanning several data sources and expose the result through one REST API » Learn more about Ephedra

DECLARATIVE APPLICATION BUILDING

Powerful template engine to render knowledge graph instances pertaining to the same class/type in a unified way
Rich set of standard and custom W3C Web Components using HTML 5 syntax for building custom templates, application pages and dashboards
Web-based HTML editor with syntax highlighting
Interactive applications are built on the fly (declaratively), without the need to change the source code
Custom UI components are composed and nested declaratively, and can be embedded on-demand
Individual elements can be customized by templating and parameterizing them through the powerful handlebars templating language

KNOWLEDGE GRAPH MANAGEMENT

Expert users who manage an organization’s data assets and administer and oversee the Knowledge Graph, benefit from easier data management with one comprehensive solution. Our open platform helps them capture their entire data universe, and connect, discover and manage all of their data sources and assets in a plug & play manner.

DATA AND QUERY ENGINEERING

One comprehensive solution for connecting, discovering and managing data across physical and virtual data repositories (or named graph)
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

KNOWLEDGE ASSET MANAGEMENT

Ontology Catalog

Ontology repository: Storage, search and retrieval of ontologies
Automated ontology visualization using the VOWL language
Documentation and diagraming of ontologies and ontology patterns
Authoring of ontology metadata
Lightweight schema development
Auto-generated print views
Close exploration of ontology and instance data (i.e.,usage of ontology in the instance data)

Vocabulary Catalog

Customizable rendering and visualization of SKOS vocabularies
Authoring of lightweight SKOS schemas and respective meta-data

R2RML Mapping Catalog
DCAT Dataset Catalog

DATA QUALITY DASHBOARDS

SHACL-based Rule Engine: Support for native SHACL rules to establish technical conformity of data
Ability to define rules based on SPARQL queries to run checks and validations against custom business logic
Auto-generation of rules, e.g., by exploiting axiomatic knowledge
Template-able, natural language violation messages
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 inspecting and drilling down to individual violations, e.g., to identify the knowledge graph resources violating a rule

BUILT ON OPEN STANDARDS

SPARQL - Graph query language with metaphactory

W3C OWL2 - Onotlogies for schema modelling with metaphactory

SHACL - Rules, constraints, and query specification with metaphactory

SKOS - Taxonomy representation with metaphactory

Web Components for Application Development

BUILT ON OPEN STANDARDS

Click here to get started with metaphactory »

Click here for more information on metaphactory for Amazon Neptune »

GET A QUOTE

You would like to purchase metaphactory?

Our product is available for on-premise installation and as an on-demand, cloud-based solution.

Contact us to request a quote and one of our account managers will be in touch to define the best product configuration for you.

GET A QUOTE

You would like to purchase metaphactory?

Our product is available for on-premise installation and as an on-demand, cloud-based solution.

Contact us to request a quote and one of our account managers will be in touch to define the best product configuration for you.