2019
DOI: 10.3233/sw-190360
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metaphactory: A platform for knowledge graph management

Abstract: In this system paper we describe metaphactory, a platform for building knowledge graph management applications. The metaphactory platform aims at supporting different categories of knowledge graph users within the organization by realizing relevant services for knowledge graph data management tasks, providing a rich and customizable user interface, and enabling rapid building of use case-specific applications. The paper discusses how the platform architecture design built on open standards enables its reusabil… Show more

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Cited by 44 publications
(29 citation statements)
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“…In order to evaluate performance, – we carried out tests to measure the speed of executing SPARQL queries depending on the size of the static and dynamic models of the knowledge graph, using the Metaphactory platform [ 8 ]. The parameters of the models that were analyzed and test results are presented in Table 2 .…”
Section: The Knowledge Graph As a Solution Corementioning
confidence: 99%
“…In order to evaluate performance, – we carried out tests to measure the speed of executing SPARQL queries depending on the size of the static and dynamic models of the knowledge graph, using the Metaphactory platform [ 8 ]. The parameters of the models that were analyzed and test results are presented in Table 2 .…”
Section: The Knowledge Graph As a Solution Corementioning
confidence: 99%
“…To solve the problem, the modularized framework that enables a knowledge graph platform to support arbitrary functionalities for each knowledge graph is necessary. Although some platforms [3,4,11,12] adopted the modularized frameworks, most of them can not reuse external or third-party services. Without the external tools, it is a burden for a developer to implement and develop existing works to the platforms.…”
Section: Related Workmentioning
confidence: 99%
“…Recently, various AI-related applications leverage KGs as the prior knowledge to search for the optimal solution or to encode the realworld knowledge. Furthermore, public organizations and private Figure 1: Architecture of UWKGM enterprises exploit KGs as the hub data to deal with the legacy data and heterogeneous data [4]. KGs, therefore, have been widely gained attention in many communities.…”
Section: Introductionmentioning
confidence: 99%
“…Domain-centric means that the underlying knowledge graphs have been selected beforehand and the scope of the portal is limited to a specific domain. However, the availability of tools for building such custom applications on top of LD is limited [4].…”
Section: Introductionmentioning
confidence: 99%