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.
DOCUMENT LIBRARY
STRUCTURED DOCUMENTS
GLOSSARIES
HARMONIZATION
SEMANTIC MODELS
INDICATORS (KPIs)
LINKED OPEN ENTERPRISE DATA
MULTIDIMENSIONAL VISUALIZATION
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
OF EXPERTS
Collaboration of domain experts and IT-specialists on systematization, formalization, semantic modeling and the presentation of knowledge for a wide range of employees
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
VISUALIZATION
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