SEMANTICALLY ORIENTED KNOWLEDGE MANAGEMENT SYSTEM

The knowledge management system of a modern enterprise is a whole range of solutions that ensure the accumulation and effective use of the organization's knowledge. The uniqueness of semantic SLM consists in the formalization of knowledge based on Semantic Web semantic methods and technologies. The presentation and dissemination of knowledge using our technologies ensures an accurate understanding of the meanings (explicit and implicit knowledge) by people, as well as their adequate interpretation by information systems.

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DOCUMENT LIBRARY

STRUCTURED DOCUMENTS​

GLOSSARIES

HARMONIZATION

SEMANTIC MODELS

INDICATORS (KPIs)

LINKED OPEN ENTERPRISE DATA

MULTIDIMENSIONAL VISUALIZATION

CAPITALIZING ON THE KNOWLEDGE OF THE BEST SPECIALISTS

                

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KNOWLEDGE

SYSTEMATIZATION

Cataloging and structured presentation of various types of information materials based on templates. Building a semantically structured information environment using hypertext markup linking documents, glossary terms, classifiers, vocabularies or code lists elements

SEMANTIC KNOWLEDGE 

SYSTEMATIZATION

Formalization (conceptualization) of knowledge using semantic models. A consistent structured representation of complex relationships and hierarchies. Extracting corporate knowledge based on Knowledge Graph

THE UNITY OF TERMINOLOGY AND
CLASSIFICATIONS

Formation of glossaries, classifiers and their semantic models. Supporting harmonization carried out by the expert community. Building the foundation for a semantically structured information environment

COLLABORATION 

  

Collaboration of domain experts and IT-specialists on systematization, formalization, semantic modeling and the presentation of knowledge for a wide range of employees

FORMATION OF SEMANTICALLY DESCRIBED (KPIs)

"SMART METADATA" AND LINKED DATA

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DOMAIN CONTEXT

The formation of "smart" metadata and linked data enriched with the meaning (semantics). The semantically structured information environment reflects the context of the subject area (domain) and supports a consistent (inextricable) environment for linked data interpretation

SEMANTIC 
MODELLING​

The formation of a strict indicators (KPIs) system, justified by the document requirements and formalized in the form of semantic models. Building a consistent framework of KPIs and corporate data in the domain context

VAZUALIZATION

Visualization of linked data in the form of OLAP tables. Automatic configuration of OLAP tables based on "smart metadata"

PUBLICATION

Publishing KPIs descriptions and linked corporate data expanded with semantically rich metadata for unambiguous interpretation of data by consumers – information systems and people