ArchiGraph

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ArchiGraph

an ontology-based platform
for data-centric architectures
slide1

Fast implementation of new requirements

Applications are ready for data structure changes
slide2

No vendor lock

Each application or even the platfotm itself can be replaced – the data and APIs will remain intact
slide3

Manage data processing algorithms along with data structure

The platform keeps and manages access rules, data transformation algorithms, interface settings for the applications
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Fast access to the big data

with the modern clustering techniques
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Data-centric
achitecture

Fast
adaptation

No vendor
lock

Integrated
management

Fast data
access

ArchiGraph platform components

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Choose a product:

mir
suz
mdm

ArchiGraph.Mir ontology editor

Collaborative ontologies mastering and populating them with data.

Functions:

  1. Create and edit classes, properties, individuals according to OWL specification
  2. View SHACL Constraints and violations
  3. Comment and annotate ontology elements
  4. Import/export ontology elements using Excel files
  5. Export OWL model into XML and Turtle formats
  6. Search, filter, sort ontology elements
  7. Edit or delete groups of elements
functionality

ArchiGraph.KMS knowledge management system

Explore ontologies and the data structured according to it, including the data from external storages. Create inference rules and SHACL Constraints.

Functions:

  1. Search data objects by parameters
  2. Compare data from different sources
  3. Browse glossaries built according to SKOS
  4. Construct SHACL Constraints
  5. Compose inference rules
functionality

ArchiGraph.MDM data access platform

Fast processing of big data structured according to an ontology and disparate between storages.

Functions:

  1. API methods for extracting and editing any ontology entities using REST API, Kafka, Rabbit MQ
  2. Group operations with the objects
  3. Data distribution between different storages and clusters
  4. Accessing all data through a SPARQL endpoint
  5. Geo-search and full-text search
  6. Subscription on the data updates
  7. Data governance tools: model structure and data objects changes request processing workflow
  8. Access rights management at the level of ontology classes. Access logging
  9. Clustering with Kubernetes
  10. Ontology structure history tracking: any previous model state can be restored
  11. Data changes tracking and Data lineage: requesting any element's changes history using API
  12. Logical Data Mart data access mode: extract information from external storages and services using ontology - to - data structure mapping rules
functionality
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Documentation

Developer resources

ArchiGraph API reference

Publications

Title
Authors
Source
Date
Ontology-based industrial data management platform
Gorshkov, S., Grebeshkov, A., Shebalov R.
arXiv.org preprint
March 2021
Knowledge Management System and Digital Transformation of Company
Gorshkov, S., Shebalov R.
Open Semantic Technologies for Intelligent Systems (OSTIS — 2019). Research Papers Collection. Is.3. Pp.183 — 186. Minsk, BSUIR, 2019.
March 2019
A method for automated generation of inference rules
Gorshkov, S.
2018 5th International Conference on Control, Decision and Information Technologies (CoDIT), Thessaloniki, 2018, pp. 512-517. doi: 10.1109/CoDIT.2018.839480
April 2018
Multi-viewpoint Ontologies for Decision-Making Support
Gorshkov, S., Kralin, S., Miroshnichenko, M.
Knowledge Engineering and Semantic Web. Volume 649 of the series Communications in Computer and Information Science, pp 3-17. Springer, 2016
September 2018
Building ontologies for agent-based simulations
Gorshkov, S.
Knowledge Engineering and the Semantic Web. Communications in Computer and Information Science Volume 468, Springer, 2014
June 2015
Access Control, Triggers and Versioning over SPARQL Endpoint
Gorshkov, S.
Knowledge Engineering and the Semantic Web. Communications in Computer and Information Science Volume 468, Springer, 2014
October 2014

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