Open AccessDATA KNOWLEDGE BASE CURRENT STATUS AND OPERATION
Author(s) -
V. Kotliar
Publication year - 2021
Publication title -
9th international conference "distributed computing and grid technologies in science and education"
Language(s) - English
Resource type - Conference proceedings
DOI - 10.54546/mlit.2021.26.74.001
Subject(s) - computer science , workflow , metadata , knowledge base , information retrieval , base (topology) , variety (cybernetics) , data integration , database , metadata management , open knowledge base connectivity , data science , data mining , knowledge management , world wide web , personal knowledge management , artificial intelligence , mathematical analysis , mathematics , organizational learning
The Data Knowledge Base (DKB) project aims at knowledge acquisition and metadata integration. Itprovides fast response for a variety of complicated queries, such as summary reports and monitoringtasks (aggregation queries) and multi-system join queries. Such queries are not easy to implement in atimely manner and, obviously, are less efficient than a query to a single system with integrated andpre-processed information would be. This work describes the status of the project as well as itsintegration with the ATLAS Workflow Management and future perspectives.